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Sensitivity Analysis for Instrumental Variables Regression With Overidentifying Restrictions,
Dylan S. Small,
in Journal of the American Statistical Association
(2007)
Sensitivity Analysis for Multiple Comparisons in Matched Observational Studies Through Quadratically Constrained Linear Programming,
Colin B. Fogarty and Dylan S. Small,
in Journal of the American Statistical Association
(2016)
Estimating the Malaria Attributable Fever Fraction Accounting for Parasites Being Killed by Fever and Measurement Error,
Kwonsang Lee and Dylan S. Small,
in Journal of the American Statistical Association
(2019)
Estimating Malaria Vaccine Efficacy in the Absence of a Gold Standard Case Definition: Mendelian Factorial Design,
Raiden B. Hasegawa and Dylan S. Small,
in Journal of the American Statistical Association
(2022)
War and Wages,
Dylan S Small and Paul R Rosenbaum,
in Journal of the American Statistical Association
(2008)
Monotone B-Spline Smoothing for a Generalized Linear Model Response,
Wei Wang and Dylan S. Small,
in The American Statistician
(2015)
Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications,
Luke Keele and Dylan S. Small,
in The American Statistician
(2021)
Semiparametric models and inference for the effect of a treatment when the outcome is nonnegative with clumping at zero,
Jing Cheng and Dylan S. Small,
in Biometrics
(2021)
New multivariate tests for assessing covariate balance in matched observational studies,
Hao Chen and Dylan S. Small,
in Biometrics
(2022)
Discussion of “Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data”,
Dylan S. Small and Jing Cheng,
in Biometrics
(2009)
Calibrating Sensitivity Analyses to Observed Covariates in Observational Studies,
Jesse Y. Hsu and Dylan S. Small,
in Biometrics
(2013)
An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies,
Paul R. Rosenbaum and Dylan S. Small,
in Biometrics
(2017)
Bounds on causal effects in three‐arm trials with non‐compliance,
Jing Cheng and Dylan S. Small,
in Journal of the Royal Statistical Society Series B
(2006)
Using post-outcome measurement information in censoring-by-death problems,
Fan Yang and Dylan S. Small,
in Journal of the Royal Statistical Society Series B
(2016)
A calibrated sensitivity analysis for matched observational studies with application to the effect of second‐hand smoke exposure on blood lead levels in children,
Bo Zhang and Dylan S. Small,
in Journal of the Royal Statistical Society Series C
(2020)
Predicting the Direction of Causal Effect Based on an Instrumental Variable Analysis: A Cautionary Tale,
Burgess Stephen and Small Dylan S.,
in Journal of Causal Inference
(2016)
Keywords: instrumental variables, Mendelian randomization, Simpson’s paradox, causal inference
Large Sample Bounds on the Survivor Average Causal Effect in the Presence of a Binary Covariate with Conditionally Ignorable Treatment Assignment,
Freiman Michael H. and S. Small Dylan,
in The International Journal of Biostatistics
(2014)
Keywords: censoring by death, causal inference, principal stratification, large sample bounds
The Role of Rest in the NBA Home-Court Advantage,
Entine Oliver A and Small Dylan S,
in Journal of Quantitative Analysis in Sports
(2008)
Keywords: home-court advantage, linear model, bootstrap
Sensitivity Analysis for Observational Studies with Recurrent Events,
Jeffrey Zhang and Dylan S. Small,
in Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data
(2024)
Keywords: Calibration, Sensitivity analysis, Sickle-cell trait
Regression to the Mean's Impact on the Synthetic Control Method: Bias and Sensitivity Analysis,
Nicholas Illenberger, Dylan S. Small and Pamela A. Shaw,
from arXiv.org
(2019)
A Negative Correlation Strategy for Bracketing in Difference-in-Differences,
Ting Ye, Luke Keele, Raiden Hasegawa and Dylan S. Small,
from arXiv.org
(2022)
Predicting Customer Value Using Clumpiness: From RFM to RFMC,
Yao Zhang, Eric T. Bradlow and Dylan S. Small,
in Marketing Science
(2015)
Keywords: customer lifetime value, RFM, clumpiness
Optimal restricted estimation for more efficient longitudinal causal inference,
Edward H. Kennedy, Marshall M. Joffe and Dylan S. Small,
in Statistics & Probability Letters
(2015)
Keywords: Doubly robust; Generalized method of moments; Marginal structural model; Semiparametric efficiency; Structural nested model; Time-varying confounding;
Structured Testing of 2×2 Factorial Effects: An Analytic Plan Requiring Fewer Observations,
Dylan S. Small, Kevin G. Volpp and Paul R. Rosenbaum,
in The American Statistician
(2011)
Effect Modification and Design Sensitivity in Observational Studies,
Jesse Y. Hsu, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2013)
Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies,
Ben B. Hansen, Paul R. Rosenbaum and Dylan S. Small,
in Journal of the American Statistical Association
(2014)
Constructed Second Control Groups and Attenuation of Unmeasured Biases,
Samuel D. Pimentel, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2016)
Quantitative Evaluation of the Trade-Off of Strengthened Instruments and Sample Size in Observational Studies,
Ashkan Ertefaie, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2018)
Cross-Screening in Observational Studies That Test Many Hypotheses,
Qingyuan Zhao, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2018)
Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions,
Qingyuan Zhao, Dylan S. Small and Weijie Su,
in Journal of the American Statistical Association
(2019)
Reinforced Designs: Multiple Instruments Plus Control Groups as Evidence Factors in an Observational Study of the Effectiveness of Catholic Schools,
Bikram Karmakar, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2021)
Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding,
Bo Zhang, Jordan Weiss, Dylan S. Small and Qingyuan Zhao,
in Journal of the American Statistical Association
(2021)
Discovering Heterogeneous Exposure Effects Using Randomization Inference in Air Pollution Studies,
Kwonsang Lee, Dylan S. Small and Francesca Dominici,
in Journal of the American Statistical Association
(2021)
Bayesian inference for random coefficient dynamic panel data models,
Fang Liu, Peng Zhang, Ibrahim Erkan and Dylan S. Small,
in Journal of Applied Statistics
(2017)
Using the Cross-Match Test to Appraise Covariate Balance in Matched Pairs,
Ruth Heller, Paul R. Rosenbaum and Dylan S. Small,
in The American Statistician
(2010)
Split Samples and Design Sensitivity in Observational Studies,
Ruth Heller, Paul R. Rosenbaum and Dylan S. Small,
in Journal of the American Statistical Association
(2009)
Modeling Parasite Infection Dynamics when there Is Heterogeneity and Imperfect Detectability,
Na Cui, Yuguo Chen and Dylan S. Small,
in Biometrics
(2013)
A powerful approach to the study of moderate effect modification in observational studies,
Kwonsang Lee, Dylan S. Small and Paul R. Rosenbaum,
in Biometrics
(2018)
Inference for the Effect of Treatment on Survival Probability in Randomized Trials with Noncompliance and Administrative Censoring,
Hui Nie, Jing Cheng and Dylan S. Small,
in Biometrics
(2011)
A Powerful and Robust Test Statistic for Randomization Inference in Group-Randomized Trials with Matched Pairs of Groups,
Kai Zhang, Mikhail Traskin and Dylan S. Small,
in Biometrics
(2012)
Robust causal inference with continuous instruments using the local instrumental variable curve,
Edward H. Kennedy, Scott Lorch and Dylan S. Small,
in Journal of the Royal Statistical Society Series B
(2019)
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap,
Qingyuan Zhao, Dylan S. Small and Bhaswar B. Bhattacharya,
in Journal of the Royal Statistical Society Series B
(2019)
Selective inference for effect modification via the lasso,
Qingyuan Zhao, Dylan S. Small and Ashkan Ertefaie,
in Journal of the Royal Statistical Society Series B
(2022)
Finding the strength in a weak instrument in a study of cognitive outcomes produced by Catholic high schools,
Siyu Heng, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the Royal Statistical Society Series A
(2020)
Using randomized rounding of linear programs to obtain unweighted natural strata that balance many covariates,
Katherine Brumberg, Dylan S. Small and Paul R. Rosenbaum,
in Journal of the Royal Statistical Society Series A
(2022)
Robust Inferences from a Before-and-After Study with Multiple Unaffected Control Groups,
Wang Pengyuan, Traskin Mikhail and Small Dylan S.,
in Journal of Causal Inference
(2013)
Keywords: before-and-after study, difference-in-difference, robust inference, skew-t distribution, group time effect
A Negative Correlation Strategy for Bracketing in Difference-in-Differences,
Ting Ye, Luke Keele, Raiden Hasegawa and Dylan S. Small,
in Journal of the American Statistical Association
(2024)
Evaluating the Efficacy of a Malaria Vaccine,
Small Dylan S., Cheng Jing and Ten Have Thomas R.,
in The International Journal of Biostatistics
(2010)
Keywords: causal inference, case definition, attributable fraction
New measures of clumpiness for incidence data,
Yao Zhang, Eric T. Bradlow and Dylan S. Small,
in Journal of Applied Statistics
(2013)
Sensitivity analysis for matched pair analysis of binary data: From worst case to average case analysis,
Raiden Hasegawa and Dylan Small,
in Biometrics
(2017)
A Comparative Study of Parametric and Nonparametric Estimates of the Attributable Fraction for a Semi-continuous Exposure,
Wang Wei and Small Dylan,
in The International Journal of Biostatistics
(2012)
Keywords: attributable risk, monotonicity, nonparametric regression, power model
Exact tests for the rasch model via sequential importance sampling,
Yuguo Chen and Dylan Small,
in Psychometrika
(2005)
Keywords: Rasch model, exact tests, goodness of fit tests, Monte Carlo methods, sequential importance sampling,
Causal Inference With Two Versions of Treatment,
Raiden B. Hasegawa, Sameer K. Deshpande, Dylan S. Small and Paul R. Rosenbaum,
in Journal of Educational and Behavioral Statistics
(2020)
Keywords: causal effects; closed testing; full matching; intersection-union test; randomization inference; sensitivity analysis; versions of treatment
Urban vibrancy and safety in Philadelphia,
Colman Humphrey, Shane T Jensen, Dylan S Small and Rachel Thurston,
in Environment and Planning B
(2020)
Keywords: Urbanism; vibrancy; crime
A Note on Posttreatment Selection in Studying Racial Discrimination in Policing,
Qingyuan Zhao, Luke J Keele, Dylan S Small and Marshall M Joffe,
in American Political Science Review
(2022)
The association between adolescent football participation and early adulthood depression,
Sameer K Deshpande, Raiden B Hasegawa, Jordan Weiss and Dylan S Small,
in PLOS ONE
(2020)
Testing endogeneity with high dimensional covariates,
Zijian Guo, Hyunseung Kang, T. Tony Cai and Dylan S. Small,
in Journal of Econometrics
(2018)
Keywords: Durbin–Wu–Hausman test; Endogeneity test; High dimensions; Instrumental variable; Invalid instruments; Power function;
Sensitivity Analysis for the Cross-Match Test, With Applications in Genomics,
Ruth Heller, Shane T. Jensen, Paul R. Rosenbaum and Dylan S. Small,
in Journal of the American Statistical Association
(2010)
Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants,
Mike Baiocchi, Dylan S. Small, Scott Lorch and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2010)
Optimal Matching for Observational Studies That Integrate Quantitative and Qualitative Research,
Ruoqi Yu, Dylan S. Small, David Harding, José Aveldanes and Paul R. Rosenbaum,
in Statistics and Public Policy
(2021)
Inference With Interference Between Units in an fMRI Experiment of Motor Inhibition,
Xi Luo, Dylan S. Small, Chiang-Shan R. Li and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2012)
Case Definition and Design Sensitivity,
Dylan S. Small, Jing Cheng, M. Elizabeth Halloran and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2013)
Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies,
Colin B. Fogarty, Pixu Shi, Mark E. Mikkelsen and Dylan S. Small,
in Journal of the American Statistical Association
(2017)
Discrete Optimization for Interpretable Study Populations and Randomization Inference in an Observational Study of Severe Sepsis Mortality,
Colin B. Fogarty, Mark E. Mikkelsen, David F. Gaieski and Dylan S. Small,
in Journal of the American Statistical Association
(2016)
Introduction to the Theory and Methods Special Issue on Precision Medicine and Individualized Policy Discovery,
Michael R. Kosorok, Eric B. Laber, Dylan S. Small and Donglin Zeng,
in Journal of the American Statistical Association
(2021)
Randomization Inference in a GroupRandomized Trial of Treatments for Depression: Covariate Adjustment, Noncompliance, and Quantile Effects,
Dylan S. Small, Thomas R. Ten Have and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2008)
Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes,
Kai Zhang, Dylan S. Small, Scott Lorch, Sindhu Srinivas and Paul R. Rosenbaum,
in Journal of the American Statistical Association
(2011)
Dissonant Conclusions When Testing the Validity of an Instrumental Variable,
Fan Yang, José R. Zubizarreta, Dylan S. Small, Scott Lorch and Paul R. Rosenbaum,
in The American Statistician
(2014)
The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare,
Wei Wang, Dylan S. Small, Guy Cafri and Elizabeth W. Paxton,
in The American Statistician
(2022)
Shrinkage Empirical Likelihood Estimator in Longitudinal Analysis with Time‐Dependent Covariates—Application to Modeling the Health of Filipino Children,
Denis Heng‐Yan Leung, Dylan S. Small, Jing Qin and Min Zhu,
in Biometrics
(2013)
Sensitivity analysis and power for instrumental variable studies,
Xuran Wang, Yang Jiang, Nancy R. Zhang and Dylan S. Small,
in Biometrics
(2018)
Two robust tools for inference about causal effects with invalid instruments,
Hyunseung Kang, Youjin Lee, T. Tony Cai and Dylan S. Small,
in Biometrics
(2022)
Instrumented difference‐in‐differences,
Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy and Dylan S. Small,
in Biometrics
(2023)
Rejoinder to “Instrumented difference‐in‐differences”,
Ting Ye, Ashkan Ertefaie, James Flory, Sean Hennessy and Dylan S. Small,
in Biometrics
(2023)
Optimal Matching with Minimal Deviation from Fine Balance in a Study of Obesity and Surgical Outcomes,
Dan Yang, Dylan S. Small, Jeffrey H. Silber and Paul R. Rosenbaum,
in Biometrics
(2012)
Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting,
Zijian Guo, Hyunseung Kang, T. Tony Cai and Dylan S. Small,
in Journal of the Royal Statistical Society Series B
(2018)
Increasing power for observational studies of aberrant response: An adaptive approach,
Siyu Heng, Hyunseung Kang, Dylan S. Small and Colin B. Fogarty,
in Journal of the Royal Statistical Society Series B
(2021)
Non-parametric methods for doubly robust estimation of continuous treatment effects,
Edward H. Kennedy, Zongming Ma, Matthew D. McHugh and Dylan S. Small,
in Journal of the Royal Statistical Society Series B
(2017)
Mediation analysis for count and zero‐inflated count data without sequential ignorability and its application in dental studies,
Zijian Guo, Dylan S. Small, Stuart A. Gansky and Jing Cheng,
in Journal of the Royal Statistical Society Series C
(2018)
Discovering treatment effect heterogeneity through post‐treatment variables with application to the effect of class size on mathematics scores,
Ashkan Ertefaie, Jesse Y. Hsu, Lindsay C. Page and Dylan S. Small,
in Journal of the Royal Statistical Society Series C
(2018)
Discovering effect modification in an observational study of surgical mortality at hospitals with superior nursing,
Kwonsang Lee, Dylan S. Small, Jesse Y. Hsu, Jeffrey H. Silber and Paul R. Rosenbaum,
in Journal of the Royal Statistical Society Series A
(2018)
Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization,
Hyunseung Kang, Anru Zhang, T. Tony Cai and Dylan S. Small,
in Journal of the American Statistical Association
(2016)
Strong control of the familywise error rate in observational studies that discover effect modification by exploratory methods,
Jesse Y. Hsu, José R. Zubizarreta, Dylan S. Small and Paul R. Rosenbaum,
in Biometrika
(2015)
Efficient nonparametric estimation of causal effects in randomized trials with noncompliance,
Jing Cheng, Dylan S. Small, Zhiqiang Tan and Thomas R. Ten Have,
in Biometrika
(2009)
Randomization-based instrumental variables methods for binary outcomes with an application to the ‘IMPROVE’ trial,
Luke Keele, Dylan Small and Richard Grieve,
in Journal of the Royal Statistical Society Series A
(2017)
Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach,
Tze Leung Lai and Dylan Small,
in Journal of the Royal Statistical Society Series B
(2007)
Bayesian hierarchical regression on clearance rates in the presence of “lag” and “tail” phases with an application to malaria parasites,
Colin B. Fogarty, Michael P. Fay, Jennifer A. Flegg, Kasia Stepniewska, Rick M. Fairhurst and Dylan S. Small,
in Biometrics
(2015)
Mapping the spatial distribution of a disease-transmitting insect in the presence of surveillance error and missing data,
Andrew E. Hong, Corentin M. Barbu, Dylan S. Small, Michael Z. Levy and the Chagas Disease Working Group in Arequipa,
in Journal of the Royal Statistical Society Series A
(2015)
A Simple Model Allowing Modification of the Effect of a Randomized Intervention by Post-Randomization Variables,
Faerber Jennifer A., Joffe Marshall M., Small Dylan S., Zhang Rongmei, Brown Gregory K. and Ten Have Thomas R.,
in Journal of Causal Inference
(2017)
Keywords: cognitive therapy, depression, interaction, stratification
An assessment of the Francois-Xavier Bagnoud poverty alleviation program in Rwanda and Uganda,
Michael O. Harhay, Mary C. Smith Fawzi, Sacha Jeanneret, Damascène Ndayisaba, William Kibaalya, Emily A. Harrison and Dylan S. Small,
in International Journal of Public Health
(2017)
Keywords: Poverty reduction, Rwanda, Uganda, Evaluation, Graduation program, Ultra-poor
INTRODUCTION TO PSYCHIATRIC NURSING. By Marion E. Kalkman, R.N., M.A. New York: McGraw-Hill Book Co., 1958. Pp. 331. NURSE-PATIENT RELATIONSHIP IN PSYCHIATRY. By Helena W. Render, R.N., B.S., and M. Olga Weiss, R.N., M.Litt. New York: McGraw-Hill Book Co., 1959. Pp. 319. Price, $5.95,
Sophie S. Small,
in International Journal of Social Psychiatry
(1960)
Book Reviews: FAMILIES IN TREATMENT. By Erika Chance. New York: Basic Books, 1959. Pp. 234. Price, $5.50,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1960)
Book Reviews: PSYCHOTHERAPISTS IN ACTION. By Hans H. Strupp. New York: Grune & Stratton Inc., 1960. Pp 338. Price, $8.85,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1961)
Book Reviews: ADMINISTRATION IN PSYCHIATRY. By Walter E. Barton. Springfield, Illinois: Charles C. Thomas, 1962. Pp. 773. Price $24.50,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1965)
Book Reviews: SEXUAL INVERSION: THE MULTIPLE ROOTS OF HOMOSEXUALITY. Edited by Judd Marmor. New York: Basic Books, Inc., 1965. Pp. 358. Price $8.50,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1966)
Book Reviews: DRUG AND SOCIAL THERAPY IN CHRONIC SCHIZOPHRENIA. Edited by Milton Greenblatt, Maidah Solomon, Anne S. Evans and George W. Brooks. Springfield, Illinois: Charles C. Thomas, 1965. Pp. 238. Price, $7.50,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1967)
Book Reviews: PSYCHIATRIC NURSING. By David Maddison, Patricia Day and Bruce Leabeater. Second edition. Baltimore: The Williams and Wilkins Company, 1965. Pp. 511. Price, $10.50,
Sophie S. Small,
in International Journal of Social Psychiatry
(1967)
Book Reviews: THE MANAGEMENT OF THE DOCTOR-PATIENT RELATIONSHIP. By Richard H. Blum. New York: McGraw Hill Book Co. Inc., 1960. Pp. 304. Price, $8.50,
S. Mouchly Small,
in International Journal of Social Psychiatry
(1961)
Bayesian analysis of deterministic and stochastic prisoner’s dilemma games,
Howard Kunreuther, Gabriel Silvasi, Eric T. Bradlow and Dylan Small,
in Judgment and Decision Making
(2009)
Selection Bias When Using Instrumental Variable Methods to Compare Two Treatments But More Than Two Treatments Are Available,
Ertefaie Ashkan, Small Dylan, Flory James and Hennessy Sean,
in The International Journal of Biostatistics
(2016)
Keywords: selection bias, instrumental variables, sensitivity analysis
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