[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/e/por11.html
   My authors  Follow this author

Nicola Orsini

Personal Details

First Name:Nicola
Middle Name:
Last Name:Orsini
Suffix:
RePEc Short-ID:por11
[This author has chosen not to make the email address public]
https://ki.se/en/people/nicors
Department of Global Public Health, Karolinska Institutet

Affiliation

Karolinska Institutet

https://ki.se/en
Sweden, Stockholm

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Nicola Orsini & Robert Thiesmeier & Matteo Bottai, 2024. "Imputation when data cannot be pooled," UK Stata Conference 2024 09, Stata Users Group.
  2. Nicola Orsini, 2022. "Visualizations of marginal and conditional quantiles based on weighted mixed-effects models," Northern European Stata Conference 2022 07, Stata Users Group.
  3. Matteo Marrazzo & Nicola Orsini, 2020. "Stata/SQL/Python integration to emulate prospective cohort studies from big register data," Nordic and Baltic Stata Users' Group Meeting 2019 12, Stata Users Group.
  4. Nicola Orsini, 2020. "Model selection in dose-response meta-analysis of summarized data," Nordic and Baltic Stata Users' Group Meeting 2019 11, Stata Users Group.
  5. Hugo Sjöqvist & Nicola Orsini, 2020. "A procedure to facilitate the analysis of time-varying covariates with survival data," Nordic and Baltic Stata Users' Group Meeting 2019 4, Stata Users Group.
  6. Nicola Orsini, 2007. "Probabilistic bias analysis of epidemiological results," Nordic and Baltic Stata Users' Group Meetings 2007 4, Stata Users Group.
  7. Matteo Bottai & Nicola Orsini, 2004. "A new Stata command for estimating confidence intervals for the variance component of random-effects linear models," United Kingdom Stata Users' Group Meetings 2004 5, Stata Users Group.
  8. Nicola Orsini, "undated". "Imputation of systematic missing data in individual participant data meta-analysis," Northern European Stata Conference 2023 03, Stata Users Group.

Articles

  1. Narmeen Mallah & Nicola Orsini & Adolfo Figueiras & Bahi Takkouche, 2022. "Income level and antibiotic misuse: a systematic review and dose–response meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1015-1035, August.
  2. Nicola Orsini, 2021. "Weighted mixed-effects dose–response models for tables of correlated contrasts," Stata Journal, StataCorp LP, vol. 21(2), pages 320-347, June.
  3. Matteo Bottai & Nicola Orsini, 2019. "qmodel: A command for fitting parametric quantile models," Stata Journal, StataCorp LP, vol. 19(2), pages 261-293, June.
  4. Ingvild Odsbu & Smita Khedkar & Frida Lind & Uday Khedkar & Sandeep S. Nerkar & Nicola Orsini & Ashok J. Tamhankar & Cecilia Stålsby Lundborg, 2018. "Trends in Resistance to Extended-Spectrum Cephalosporins and Carbapenems among Escherichia coli and Klebsiella spp. Isolates in a District in Western India during 2004–2014," IJERPH, MDPI, vol. 15(1), pages 1-15, January.
  5. Crippa, Alessio & Orsini, Nicola, 2016. "Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(c01).
  6. Andrea Discacciati & Nicola Orsini & Sander Greenland, 2015. "Approximate Bayesian logistic regression via penalized likelihood by data augmentation," Stata Journal, StataCorp LP, vol. 15(3), pages 712-736, September.
  7. Nicola Orsini & Rino Bellocco & Arvid Sjolander, 2013. "Doubly robust estimation in generalized linear models," Stata Journal, StataCorp LP, vol. 13(1), pages 185-205, March.
  8. Matteo Bottai & Nicola Orsini, 2013. "A command for Laplace regression," Stata Journal, StataCorp LP, vol. 13(2), pages 302-314, June.
  9. Nicola Orsini, 2013. "Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert," Stata Journal, StataCorp LP, vol. 13(1), pages 212-216, March.
  10. Nicola Orsini & Sander Greenland, 2011. "A procedure to tabulate and plot results after flexible modeling of a quantitative covariate," Stata Journal, StataCorp LP, vol. 11(1), pages 1-29, March.
  11. Nicola Orsini & Matteo Bottai, 2011. "Logistic quantile regression in Stata," Stata Journal, StataCorp LP, vol. 11(3), pages 327-344, September.
  12. Nicola Orsini & Rino Bellocco & Matteo Bottai & Alicja Wolk & Sander Greenland, 2008. "A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies," Stata Journal, StataCorp LP, vol. 8(1), pages 29-48, February.
  13. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "Generalized least squares for trend estimation of summarized dose–response data," Stata Journal, StataCorp LP, vol. 6(1), pages 40-57, March.
  14. Matteo Bottai & Nicola Salvati & Nicola Orsini, 2006. "Multilevel models for analyzing people’s daily movement behavior," Journal of Geographical Systems, Springer, vol. 8(1), pages 97-108, March.
  15. Nicola Orsini & Debora Rizzuto & Nicola Nante, 2005. "Introduction to game-theory calculations," Stata Journal, StataCorp LP, vol. 5(3), pages 355-370, September.
  16. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.

Software components

  1. Robert Thiesmeier & Matteo Bottai & Nicola Orsini, 2024. "MI_IMPUTE_FROM: Stata module to impute using an external imputation model," Statistical Software Components S459378, Boston College Department of Economics.
  2. Nicola Orsini, 2020. "SPNORM: Stata module to plot Shaded Percentiles of Normal Distributions," Statistical Software Components S458835, Boston College Department of Economics.
  3. Imre Janszky & Nicola Orsini, 2018. "REU: Stata module to compute number of random error units (REU) in epidemiological studies," Statistical Software Components S458543, Boston College Department of Economics.
  4. Nicola Orsini & Xing-Wu Zhou, 2018. "TSTF: Stata module to compute intervention time-series models," Statistical Software Components S458544, Boston College Department of Economics, revised 30 Oct 2021.
  5. Matteo Bottai & Nicola Orsini, 2018. "LAPLACEREG: Stata module to perform Laplace regression for censored data," Statistical Software Components S458545, Boston College Department of Economics.
  6. Nicola Orsini, 2018. "DRMETA: Stata module for dose-response meta-analysis," Statistical Software Components S458546, Boston College Department of Economics, revised 25 May 2019.
  7. Andrea Discacciati & Viktor Oskarsson & Nicola Orsini, 2015. "STPHCOXRCS: Stata module to check proportional-hazards assumption using restricted cubic splines," Statistical Software Components S458073, Boston College Department of Economics.
  8. Nicola Orsini, 2009. "XBRCSPLINE: Stata module to tabulate differences in predicted responses after restricted cubic spline models," Statistical Software Components S457092, Boston College Department of Economics, revised 12 Aug 2019.
  9. Nicola Orsini, 2009. "FTOCCI: Stata module to back calculate the conventional confidence intervals from the floated confidence intervals," Statistical Software Components S457091, Boston College Department of Economics.
  10. Nicola Orsini, 2006. "ESLI: Stata module to calculate the equation of a straight line," Statistical Software Components S456791, Boston College Department of Economics.
  11. Nicola Orsini, 2006. "XB2PI: Stata module to transform the logit scores into probabilities," Statistical Software Components S456796, Boston College Department of Economics.
  12. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "EPISENSRRI: Stata module for basic sensitivity analysis for unmeasured confounders," Statistical Software Components S456793, Boston College Department of Economics.
  13. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "EPISENS: Stata module for basic sensitivity analysis of epidemiological results," Statistical Software Components S456792, Boston College Department of Economics, revised 27 Mar 2024.
  14. Nicola Orsini, 2006. "SBRI: Stata module to calculate the Spearman-Brown reliability," Statistical Software Components S456795, Boston College Department of Economics.
  15. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "POSTRRI: Stata module to calculate posterior relative risks," Statistical Software Components S456794, Boston College Department of Economics.
  16. Nicola Orsini & Matteo Bottai & Julian Higgins & Iain Buchan, 2005. "HETEROGI: Stata module to quantify heterogeneity in a meta-analysis," Statistical Software Components S449201, Boston College Department of Economics, revised 25 Jan 2006.
  17. Nicola Orsini, 2005. "ECLPCI: Stata module to compute Exact and Approximate Confidence Limits for Poisson Counts," Statistical Software Components S453901, Boston College Department of Economics.
  18. Nicola Orsini, 2005. "DIFFPI: Stata module to calculate difference expressed as a percentage," Statistical Software Components S448701, Boston College Department of Economics.
  19. Nicola Orsini & Debora Rizzuto, 2005. "KAPPREVI: Stata module to plot the dependence of kappa statistic on true prevalence," Statistical Software Components S456417, Boston College Department of Economics.
  20. Nicola Orsini, 2005. "P2CI: Stata module to calculate confidence limits of a regression coefficient from the p-value," Statistical Software Components S449101, Boston College Department of Economics, revised 05 Feb 2005.
  21. Nicola Orsini & Rino Bellocco & Sander Greenland, 2005. "GLST: Stata module for trend estimation of summarized dose-response data," Statistical Software Components S452001, Boston College Department of Economics, revised 11 May 2009.
  22. Nicola Orsini & Matteo Bottai, 2004. "ROCSS: Stata module to calculate ROC curve and other statistics for any classification method," Statistical Software Components S438101, Boston College Department of Economics, revised 19 Apr 2004.
  23. Nicola Orsini & Debora Rizzuto & Nicola Nante, 2004. "GAMET: Stata module to perform game-theoretic calculations," Statistical Software Components S447201, Boston College Department of Economics, revised 17 Aug 2005.
  24. Matteo Bottai & Nicola Orsini, 2004. "XTVC: Stata module to compute confidence intervals for the variance component of random-intercept linear models," Statistical Software Components S446101, Boston College Department of Economics.
  25. Nicola Orsini, 2004. "PNRCHECK: Stata module to verify the check digit in Swedish personal identification number," Statistical Software Components S438102, Boston College Department of Economics, revised 04 Dec 2004.
  26. Nicola Orsini & Matteo Bottai, 2003. "GRBY: Stata program to draw bar charts for each covariate pattern," Statistical Software Components S434802, Boston College Department of Economics, revised 19 Apr 2004.
  27. Nicola Orsini & Matteo Bottai, 2003. "UNITAB: Stata program to display a univariate table for a binary outcome variable," Statistical Software Components S434801, Boston College Department of Economics, revised 19 Apr 2004.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Nicola Orsini, 2021. "Weighted mixed-effects dose–response models for tables of correlated contrasts," Stata Journal, StataCorp LP, vol. 21(2), pages 320-347, June.

    Cited by:

    1. Narmeen Mallah & Nicola Orsini & Adolfo Figueiras & Bahi Takkouche, 2022. "Income level and antibiotic misuse: a systematic review and dose–response meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(6), pages 1015-1035, August.

  2. Matteo Bottai & Nicola Orsini, 2019. "qmodel: A command for fitting parametric quantile models," Stata Journal, StataCorp LP, vol. 19(2), pages 261-293, June.

    Cited by:

    1. Gao, Suhao & Yu, Zhen, 2023. "Parametric expectile regression and its application for premium calculation," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 242-256.
    2. Borgen, Nicolai T. & Haupt, Andreas & Wiborg, Øyvind N., 2021. "Flexible and fast estimation of quantile treatment effects: The rqr and rqrplot commands," SocArXiv 4vquh, Center for Open Science.

  3. Ingvild Odsbu & Smita Khedkar & Frida Lind & Uday Khedkar & Sandeep S. Nerkar & Nicola Orsini & Ashok J. Tamhankar & Cecilia Stålsby Lundborg, 2018. "Trends in Resistance to Extended-Spectrum Cephalosporins and Carbapenems among Escherichia coli and Klebsiella spp. Isolates in a District in Western India during 2004–2014," IJERPH, MDPI, vol. 15(1), pages 1-15, January.

    Cited by:

    1. Valery Silvery Sonola & Gerald Misinzo & Mecky Isaac Matee, 2021. "Occurrence of Multidrug-Resistant Staphylococcus aureus among Humans, Rodents, Chickens, and Household Soils in Karatu, Northern Tanzania," IJERPH, MDPI, vol. 18(16), pages 1-9, August.

  4. Andrea Discacciati & Nicola Orsini & Sander Greenland, 2015. "Approximate Bayesian logistic regression via penalized likelihood by data augmentation," Stata Journal, StataCorp LP, vol. 15(3), pages 712-736, September.

    Cited by:

    1. Ahmed Cemiloglu & Licai Zhu & Agab Bakheet Mohammednour & Mohammad Azarafza & Yaser Ahangari Nanehkaran, 2023. "Landslide Susceptibility Assessment for Maragheh County, Iran, Using the Logistic Regression Algorithm," Land, MDPI, vol. 12(7), pages 1-20, July.
    2. Frederico M. Almeida & Vinícius D. Mayrink & Enrico A. Colosimo, 2023. "Bayesian solution to the monotone likelihood in the standard mixture cure model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(3), pages 365-390, August.
    3. Xiao, Fenglong & Shen, Yinjie, 2024. "Wolves at the door to the unknown: Innovation search and hedge fund activism," Research Policy, Elsevier, vol. 53(2).
    4. Gestel, R.V. & Müller, T. & Bosmans, J., 2016. "Does My High Blood Pressure Improve Your Survival? Overall and Subgroup Learning Curves in Health," Health, Econometrics and Data Group (HEDG) Working Papers 16/27, HEDG, c/o Department of Economics, University of York.
    5. Rahmouni, Mohieddine, 2023. "Corruption and corporate innovation in Tunisia during an economic downturn," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 314-326.

  5. Nicola Orsini & Rino Bellocco & Arvid Sjolander, 2013. "Doubly robust estimation in generalized linear models," Stata Journal, StataCorp LP, vol. 13(1), pages 185-205, March.

    Cited by:

    1. Manuel S. González Canché, 2017. "Financial Benefits of Rapid Student Loan Repayment: An Analytic Framework Employing Two Decades of Data," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 154-182, May.

  6. Matteo Bottai & Nicola Orsini, 2013. "A command for Laplace regression," Stata Journal, StataCorp LP, vol. 13(2), pages 302-314, June.

    Cited by:

    1. Manda, Julius & Feleke, Shiferaw & Mutungi, Christopher & Tufa, Adane H. & Mateete, Bekunda & Abdoulaye, Tahirou & Alene, Arega D., 2024. "Assessing the speed of improved postharvest technology adoption in Tanzania: The role of social learning and agricultural extension services," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    2. Frumento, Paolo & Bottai, Matteo, 2017. "An estimating equation for censored and truncated quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 53-63.

  7. Nicola Orsini, 2013. "Review of Flexible Parametric Survival Analysis Using Stata: Beyond the Cox Model by Patrick Royston and Paul C. Lambert," Stata Journal, StataCorp LP, vol. 13(1), pages 212-216, March.

    Cited by:

    1. Adeniyi Francis Fagbamigbe & Emma Norrman & Christina Bergh & Ulla-Britt Wennerholm & Max Petzold, 2021. "Comparison of the performances of survival analysis regression models for analysis of conception modes and risk of type-1 diabetes among 1985–2015 Swedish birth cohort," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    2. Adeniyi Francis Fagbamigbe & Karolina Karlsson & Jan Derks & Max Petzold, 2021. "Performance evaluation of survival regression models in analysing Swedish dental implant complication data with frailty," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-16, January.

  8. Nicola Orsini & Sander Greenland, 2011. "A procedure to tabulate and plot results after flexible modeling of a quantitative covariate," Stata Journal, StataCorp LP, vol. 11(1), pages 1-29, March.

    Cited by:

    1. Martina Recalde & Andrea Pistillo & Veronica Davila-Batista & Michael Leitzmann & Isabelle Romieu & Vivian Viallon & Heinz Freisling & Talita Duarte-Salles, 2023. "Longitudinal body mass index and cancer risk: a cohort study of 2.6 million Catalan adults," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Javier Alejo & Gabriel Montes Rojas & Walter Sosa Escudero, 2021. "RIF Regression via Sensitivity Curves," Working Papers 159, Universidad de San Andres, Departamento de Economia, revised Dec 2021.
    3. Zhaoyang Liu & Heqing Huang & Juha Siikamäki & Jintao Xu, 2024. "Area-Based Hedonic Pricing of Urban Green Amenities in Beijing: A Spatial Piecewise Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(5), pages 1223-1248, May.
    4. Lin-Lin Dai & Yuan-Yuan Mao & Xiao-Ming Luo & Yue-Ping Shen, 2014. "Prenatal Care in Combination with Maternal Educational Level Has a Synergetic Effect on the Risk of Neonatal Low Birth Weight: New Findings in a Retrospective Cohort Study in Kunshan City, China," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-13, November.
    5. Leonardo C. B. Cardoso & Carlos Frederico A. Uchôa & Williams Huamani & David R. Just & Raúl V. Gomez, 2022. "Price effects of spatial competition in retail fuel markets: the impact of a new rival nearby," Papers in Regional Science, Wiley Blackwell, vol. 101(1), pages 81-105, February.
    6. Roger B. Newson, 2012. "Sensible parameters for univariate and multivariate splines," Stata Journal, StataCorp LP, vol. 12(3), pages 479-504, September.
    7. Ro, Annie & Bruckner, Tim A. & Duquette-Rury, Lauren, 2020. "Immigrant apprehensions and birth outcomes: Evidence from California birth records 2008–2015," Social Science & Medicine, Elsevier, vol. 249(C).
    8. Rui Rui & Jiao Lou & Li Zou & Rong Zhong & Ji Wang & Ding Xia & Qi Wang & Heng Li & Jing Wu & Xuzai Lu & Chuanqi Li & Li Liu & Jiahong Xia & Hua Xu, 2012. "Excess Body Mass Index and Risk of Liver Cancer: A Nonlinear Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.

  9. Nicola Orsini & Matteo Bottai, 2011. "Logistic quantile regression in Stata," Stata Journal, StataCorp LP, vol. 11(3), pages 327-344, September.

    Cited by:

    1. Cooray, Arusha & Özmen, Ibrahim, 2024. "The role of institutions on public debt: A quantile regression approach," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 912-928.
    2. Korinek, Kim & Zimmer, Zachary & Teerawichitchainan, Bussarawan & Young, Yvette & Cao Manh, Long & Toan, Tran Khanh, 2024. "Cognitive function following early life war-time stress exposure in a cohort of Vietnamese older adults," Social Science & Medicine, Elsevier, vol. 349(C).
    3. Federico de Luca & Giovanna Boccuzzo, 2014. "What do healthcare workers know about sudden infant death syndrome?: the results of the Italian campaign ‘GenitoriPiù’," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(1), pages 63-82, January.
    4. L.A. Serkov & M.B. Petrov & K.B. Kozhov, 2021. "Modeling the Interaction of the Regions of Russia and the Republic of Belarus in the Sphere of the Processing Industry," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 20(2), pages 217-240.
    5. Dong, Manh Cuong & Tian, Shaonan & Chen, Cathy W.S., 2018. "Predicting failure risk using financial ratios: Quantile hazard model approach," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 204-220.
    6. Marion Gouin & Cyril Flamant & Géraldine Gascoin & Valérie Rouger & Agnès Florin & Philippe Guimard & Jean-Christophe Rozé & Matthieu Hanf, 2015. "The Association of Urbanicity with Cognitive Development at Five Years of Age in Preterm Children," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-15, July.
    7. Gustav Kjellsson & Dennis Petrie & Tom (T.G.M.) van Ourti, 2018. "Measuring income-related inequalities in risky health prospects," Tinbergen Institute Discussion Papers 18-007/V, Tinbergen Institute.
    8. Louis Chauvel, 2014. "The Intensity and Shape of Inequality: The ABG Method of Distributional Analysis," LIS Working papers 609, LIS Cross-National Data Center in Luxembourg.

  10. Nicola Orsini & Rino Bellocco & Matteo Bottai & Alicja Wolk & Sander Greenland, 2008. "A tool for deterministic and probabilistic sensitivity analysis of epidemiologic studies," Stata Journal, StataCorp LP, vol. 8(1), pages 29-48, February.

    Cited by:

    1. John J. Graff & Nalini Sathiakumar & Maurizio Macaluso & George Maldonado & Robert Matthews & Elizabeth Delzell, 2009. "The Effect of Uncertainty in Exposure Estimation on the Exposure-Response Relation between 1,3-Butadiene and Leukemia," IJERPH, MDPI, vol. 6(9), pages 1-20, September.
    2. Sanna Heikkinen & Janne Pitkäniemi & Tytti Sarkeala & Nea Malila & Markku Koskenvuo, 2015. "Does Hair Dye Use Increase the Risk of Breast Cancer? A Population-Based Case-Control Study of Finnish Women," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-14, August.
    3. Patricia Frenz & Jay S. Kaufman & Carolina Nazzal & Gabriel Cavada & Francisco Cerecera & Nicolás Silva, 2017. "Mediation of the effect of childhood socioeconomic position by educational attainment on adult chronic disease in Chile," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(9), pages 1007-1017, December.
    4. Nicola Orsini & Sander Greenland, 2011. "A procedure to tabulate and plot results after flexible modeling of a quantitative covariate," Stata Journal, StataCorp LP, vol. 11(1), pages 1-29, March.
    5. Sander Greenland & Heidi J. Fischer & Leeka Kheifets, 2016. "Methods to Explore Uncertainty and Bias Introduced by Job Exposure Matrices," Risk Analysis, John Wiley & Sons, vol. 36(1), pages 74-82, January.
    6. Paul Gustafson & Lawrence C. McCandless, 2010. "Probabilistic Approaches to Better Quantifying the Results of Epidemiologic Studies," IJERPH, MDPI, vol. 7(4), pages 1-20, April.

  11. Nicola Orsini & Rino Bellocco & Sander Greenland, 2006. "Generalized least squares for trend estimation of summarized dose–response data," Stata Journal, StataCorp LP, vol. 6(1), pages 40-57, March.

    Cited by:

    1. Ali, Mumtaz & Prasad, Ramendra & Xiang, Yong & Deo, Ravinesh C., 2020. "Near real-time significant wave height forecasting with hybridized multiple linear regression algorithms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    2. Junna Wang & Dandan Zhang & Rongzhong Huang & Xingsheng Li & Wenxiang Huang, 2017. "Gamma-glutamyltransferase and risk of cardiovascular mortality: A dose-response meta-analysis of prospective cohort studies," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-19, February.
    3. Laura Pimpin & Jason H Y Wu & Hila Haskelberg & Liana Del Gobbo & Dariush Mozaffarian, 2016. "Is Butter Back? A Systematic Review and Meta-Analysis of Butter Consumption and Risk of Cardiovascular Disease, Diabetes, and Total Mortality," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-18, June.
    4. Yong-Fei Hua & Gao-Qing Wang & Wei Jiang & Jing Huang & Guo-Chong Chen & Cai-De Lu, 2016. "Vitamin C Intake and Pancreatic Cancer Risk: A Meta-Analysis of Published Case-Control and Cohort Studies," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-10, February.
    5. Liu, Qin & Cook, Nancy R. & Bergström, Anna & Hsieh, Chung-Cheng, 2009. "A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data," Computational Statistics & Data Analysis, Elsevier, vol. 53(12), pages 4157-4167, October.
    6. Jun Han & Yi Jiang & Xiao Liu & Qingyang Meng & Qiulei Xi & Qiulin Zhuang & Yusong Han & Ying Gao & Qiurong Ding & Guohao Wu, 2015. "Dietary Fat Intake and Risk of Gastric Cancer: A Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-18, September.
    7. Crippa, Alessio & Orsini, Nicola, 2016. "Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(c01).
    8. Yeongkeun Kwon & Hyun Jung Kim & Sungsoo Park & Yong-Gyu Park & Kyung-Hwan Cho, 2017. "Body Mass Index-Related Mortality in Patients with Type 2 Diabetes and Heterogeneity in Obesity Paradox Studies: A Dose-Response Meta-Analysis," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    9. Angel M. Dzhambov & Peter Lercher, 2019. "Road Traffic Noise Exposure and Depression/Anxiety: An Updated Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 16(21), pages 1-22, October.
    10. GuoChao Zhong & Yi Wang & Yong Zhang & Yong Zhao, 2015. "Association between Benzodiazepine Use and Dementia: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-16, May.
    11. Aliasghar Ahmad Kiadaliri & Johan Jarl & Georgios Gavriilidis & Ulf-G Gerdtham, 2013. "Alcohol Drinking Cessation and the Risk of Laryngeal and Pharyngeal Cancers: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-10, March.
    12. Guochao Zhong & Yi Wang & Yong Zhang & Jeff Jianfei Guo & Yong Zhao, 2015. "Smoking Is Associated with an Increased Risk of Dementia: A Meta-Analysis of Prospective Cohort Studies with Investigation of Potential Effect Modifiers," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-23, March.
    13. Jingyao Fan & Yiqing Song & Yuyao Wang & Rutai Hui & Weili Zhang, 2012. "Dietary Glycemic Index, Glycemic Load, and Risk of Coronary Heart Disease, Stroke, and Stroke Mortality: A Systematic Review with Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-12, December.
    14. Changlin Han & Yangqun Liu & Xiao Gong & Xiaohua Ye & Junli Zhou, 2019. "Relationship between Secondhand Smoke Exposure and Depressive Symptoms: A Systematic Review and Dose–Response Meta-Analysis," IJERPH, MDPI, vol. 16(8), pages 1-14, April.
    15. Zhengtao Liu & Shuping Que & Huaijun Ning & Linlin Wang & Tao Peng, 2013. "Elevated Alanine Aminotransferase Is Strongly Associated with Incident Metabolic Syndrome: A Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-11, December.
    16. Wei Jiang & Min Wang & Hai-Zhong Jiang & Guo-Chong Chen & Yong-Fei Hua, 2019. "Meta-analysis of fish consumption and risk of pancreatic cancer in 13 prospective studies with 1.8 million participants," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-12, September.
    17. Rui-Xue Huang & Yan-Ying Duan & Jian-An Hu, 2015. "Fish Intake and Risk of Liver Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(1), pages 1-9, January.
    18. Ju-Sheng Zheng & Tao Huang & Jing Yang & Yuan-Qing Fu & Duo Li, 2012. "Marine N-3 Polyunsaturated Fatty Acids Are Inversely Associated with Risk of Type 2 Diabetes in Asians: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-14, September.
    19. Yu-Fei Zhang & Wei-Wu Shi & Hong-Fang Gao & Li Zhou & An-Ji Hou & Yu-Hao Zhou, 2014. "Folate Intake and the Risk of Breast Cancer: A Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    20. Lin Zhang & Xing-Huan Wang & Xin-Min Zheng & Tong-Zu Liu & Wei-Bin Zhang & Hang Zheng & Mi-Feng Chen, 2015. "Maternal Gestational Smoking, Diabetes, Alcohol Drinking, Pre-Pregnancy Obesity and the Risk of Cryptorchidism: A Systematic Review and Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
    21. Josephine Y Chau & Anne C Grunseit & Tien Chey & Emmanuel Stamatakis & Wendy J Brown & Charles E Matthews & Adrian E Bauman & Hidde P van der Ploeg, 2013. "Daily Sitting Time and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    22. Yulan Wang & Ran Cui & Yuanyuan Xiao & Juemin Fang & Qing Xu, 2015. "Effect of Carotene and Lycopene on the Risk of Prostate Cancer: A Systematic Review and Dose-Response Meta-Analysis of Observational Studies," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-20, September.
    23. Ran Cui & Zhu-Qing Liu & Qing Xu, 2014. "Blood α-Tocopherol, γ-Tocopherol Levels and Risk of Prostate Cancer: A Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-7, March.
    24. Xiaohua Ye & Jinjian Fu & Yi Yang & Yanhui Gao & Li Liu & Sidong Chen, 2013. "Frequency-Risk and Duration-Risk Relationships between Aspirin Use and Gastric Cancer: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-8, July.
    25. Bo Zhou & Jing Liu & Ze-Mu Wang & Tao Xi, 2012. "C-Reactive Protein, Interleukin 6 and Lung Cancer Risk: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-7, August.
    26. Hai Pham & Aninda Rahman & Azam Majidi & Mary Waterhouse & Rachel E. Neale, 2019. "Acute Respiratory Tract Infection and 25-Hydroxyvitamin D Concentration: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 16(17), pages 1-15, August.
    27. Yun-Liang Wang & Yu-Tong Wang & Jin-Feng Li & Yu-Zheng Zhang & Hong-Lei Yin & Bing Han, 2015. "Body Mass Index and Risk of Parkinson’s Disease: A Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
    28. Xinhua Qu & Fangchun Jin & Yongqiang Hao & Huiwu Li & Tingting Tang & Hao Wang & Weili Yan & Kerong Dai, 2013. "Magnesium and the Risk of Cardiovascular Events: A Meta-Analysis of Prospective Cohort Studies," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-13, March.
    29. Andreas Seidler & Karla Romero Starke & Alice Freiberg & Janice Hegewald & Albert Nienhaus & Ulrich Bolm-Audorff, 2020. "Dose–Response Relationship between Physical Workload and Specific Shoulder Diseases—A Systematic Review with Meta-Analysis," IJERPH, MDPI, vol. 17(4), pages 1-19, February.
    30. Xianying Min & Chao Li & Yan Yan, 2021. "Parental Age and the Risk of ADHD in Offspring: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 18(9), pages 1-14, May.
    31. Zhengtao Liu & Huaijun Ning & Shuping Que & Linlin Wang & Xue Qin & Tao Peng, 2014. "Complex Association between Alanine Aminotransferase Activity and Mortality in General Population: A Systematic Review and Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-19, March.
    32. Renata Micha & Masha L Shulkin & Jose L Peñalvo & Shahab Khatibzadeh & Gitanjali M Singh & Mayuree Rao & Saman Fahimi & John Powles & Dariush Mozaffarian, 2017. "Etiologic effects and optimal intakes of foods and nutrients for risk of cardiovascular diseases and diabetes: Systematic reviews and meta-analyses from the Nutrition and Chronic Diseases Expert Group," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-25, April.
    33. Meng-Bo Hu & Sheng-Hua Liu & Hao-Wen Jiang & Pei-De Bai & Qiang Ding, 2014. "Obesity Affects the Biopsy-Mediated Detection of Prostate Cancer, Particularly High-Grade Prostate Cancer: A Dose-Response Meta-Analysis of 29,464 Patients," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-10, September.
    34. Dongsheng Cheng & Yang Fei & Yumei Liu & Junhui Li & Qin Xue & Xiaoxia Wang & Niansong Wang, 2014. "HbA1C Variability and the Risk of Renal Status Progression in Diabetes Mellitus: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-13, December.
    35. Bijing Mao & Yafei Li & Zhimin Zhang & Chuan Chen & Yuanyuan Chen & Chenchen Ding & Lin Lei & Jian Li & Mei Jiang & Dong Wang & Ge Wang, 2015. "One-Carbon Metabolic Factors and Risk of Renal Cell Cancer: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    36. Rui Zhang & Jialin Fu & Justin B. Moore & Lee Stoner & Rui Li, 2021. "Processed and Unprocessed Red Meat Consumption and Risk for Type 2 Diabetes Mellitus: An Updated Meta-Analysis of Cohort Studies," IJERPH, MDPI, vol. 18(20), pages 1-15, October.
    37. Eujene Jung & So Yeon Kong & Young Sun Ro & Hyun Ho Ryu & Sang Do Shin, 2022. "Serum Cholesterol Levels and Risk of Cardiovascular Death: A Systematic Review and a Dose-Response Meta-Analysis of Prospective Cohort Studies," IJERPH, MDPI, vol. 19(14), pages 1-12, July.
    38. Jing-Wei Li & Cui Xu & Ye Fan & Yong Wang & Ying-Bin Xiao, 2014. "Can Serum Levels of Alkaline Phosphatase and Phosphate Predict Cardiovascular Diseases and Total Mortality in Individuals with Preserved Renal Function? A Systemic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-14, July.
    39. Wenwang Rao & Yingying Su & Guang Yang & Yue Ma & Rui Liu & Shangchao Zhang & Shibin Wang & Yingli Fu & Changgui Kou & Yaqin Yu & Qiong Yu, 2016. "Cross-Sectional Associations between Body Mass Index and Hyperlipidemia among Adults in Northeastern China," IJERPH, MDPI, vol. 13(5), pages 1-10, May.
    40. Dengfeng Gao & Ning Ning & Congxia Wang & Yuhuan Wang & Qing Li & Zhe Meng & Yang Liu & Qiang Li, 2013. "Dairy Products Consumption and Risk of Type 2 Diabetes: Systematic Review and Dose-Response Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-15, September.
    41. Doris S M Chan & Rosa Lau & Dagfinn Aune & Rui Vieira & Darren C Greenwood & Ellen Kampman & Teresa Norat, 2011. "Red and Processed Meat and Colorectal Cancer Incidence: Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-11, June.
    42. Bo Yang & Feng-Lei Wang & Xiao-Li Ren & Duo Li, 2014. "Biospecimen Long-Chain N-3 PUFA and Risk of Colorectal Cancer: A Meta-Analysis of Data from 60,627 Individuals," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-13, November.
    43. Rui Rui & Jiao Lou & Li Zou & Rong Zhong & Ji Wang & Ding Xia & Qi Wang & Heng Li & Jing Wu & Xuzai Lu & Chuanqi Li & Li Liu & Jiahong Xia & Hua Xu, 2012. "Excess Body Mass Index and Risk of Liver Cancer: A Nonlinear Dose-Response Meta-Analysis of Prospective Studies," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-7, September.

  12. Matteo Bottai & Nicola Salvati & Nicola Orsini, 2006. "Multilevel models for analyzing people’s daily movement behavior," Journal of Geographical Systems, Springer, vol. 8(1), pages 97-108, March.

    Cited by:

    1. Tae-Hyoung Tommy Gim, 2017. "Full Random Coefficients Multilevel Modeling of the Relationship between Land Use and Trip Time on Weekdays and Weekends," Sustainability, MDPI, vol. 9(10), pages 1-26, October.
    2. Mercado, Ruben & Páez, Antonio, 2009. "Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada," Journal of Transport Geography, Elsevier, vol. 17(1), pages 65-76.
    3. Cecilia Olivieri & Xavier Fageda, 2019. "Determinants of urban mobility with a focus on gender: a multilevel analysis in the Metropolitan Area of Montevideo, Uruguay," Documentos de Trabajo (working papers) 0419, Department of Economics - dECON.
    4. Olivieri, Cecilia & Fageda, Xavier, 2021. "Urban mobility with a focus on gender: The case of a middle-income Latin American city," Journal of Transport Geography, Elsevier, vol. 91(C).
    5. Jinhyun Hong & Qing Shen & Lei Zhang, 2014. "How do built-environment factors affect travel behavior? A spatial analysis at different geographic scales," Transportation, Springer, vol. 41(3), pages 419-440, May.
    6. Zhang, Lei & Hong, Jin Hyun & Nasri, Arefeh & Shen, Qing, 2012. "How built environment affects travel behavior: A comparative analysis of the connections between land use and vehicle miles traveled in US cities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 5(3), pages 40-52.

  13. Matteo Bottai & Nicola Orsini, 2004. "Confidence intervals for the variance component of random-effects linear models," Stata Journal, StataCorp LP, vol. 4(4), pages 429-435, December.

    Cited by:

    1. Matteo Bottai & Nicola Salvati & Nicola Orsini, 2006. "Multilevel models for analyzing people’s daily movement behavior," Journal of Geographical Systems, Springer, vol. 8(1), pages 97-108, March.

Software components

  1. Nicola Orsini & Matteo Bottai & Julian Higgins & Iain Buchan, 2005. "HETEROGI: Stata module to quantify heterogeneity in a meta-analysis," Statistical Software Components S449201, Boston College Department of Economics, revised 25 Jan 2006.

    Cited by:

    1. Lauren Maxwell & Karen Devries & Danielle Zionts & Jeanne L Alhusen & Jacquelyn Campbell, 2015. "Estimating the Effect of Intimate Partner Violence on Women’s Use of Contraception: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-25, February.
    2. Heleen Riper & Matthijs Blankers & Hana Hadiwijaya & John Cunningham & Stella Clarke & Reinout Wiers & David Ebert & Pim Cuijpers, 2014. "Effectiveness of Guided and Unguided Low-Intensity Internet Interventions for Adult Alcohol Misuse: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    3. Ioana A Cristea & Robin N Kok & Pim Cuijpers, 2016. "The Effectiveness of Cognitive Bias Modification Interventions for Substance Addictions: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-19, September.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months
  2. Number of Downloads through RePEc Services over the past 12 months
  3. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  4. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (1) 2020-12-21

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Nicola Orsini should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.