Search Results

A Note on Different Types of Probabilities of Misclassification,
Awogbemi Clement Adeyeye, in Academic Journal of Applied Mathematical Sciences (2020)
Keywords: Probabilities of misclassification; Classification regions; Estimated probability of misclassification; Discriminant function; Mahalanobis distance

Bias analysis for misclassification in a multicategorical exposure in a logistic regression model,
Yaqing Liu, Juxin Liu and Fuxi Zhang, in Statistics & Probability Letters (2013)
Keywords: Misclassification; Nondifferential misclassification; Bias; Multicategorical exposure; Logistic regression;

Misclassification and the hidden silent rivalry,
Yingyao Hu and Zhongjian Lin, from Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2018)
Keywords: Misclassification, Binary Choice, Peer Effects, Attitude Towards Learning, Silent Rivalry, Social Desirability

Estimation of Average Treatment Effects With Misclassification,
Arthur Lewbel, from Econometric Society (2004)
Keywords: Program Evaluation, Treatment Effects, Misclassification, Measurement error, Binomial Response

Probability of misclassification in model-based clustering,
Xuwen Zhu, in Computational Statistics (2019)
Keywords: Finite mixture models, Classification confidence region, Diagnostics, Misclassification

Identification of the Binary Choice Model with Misclassification,
Arthur Lewbel, from Boston College Department of Economics (2000)
Keywords: binary choice, misclassification, measurement error, semiparametric, latent variable

A New Mixture Model for Misclassification With Applications for Survey Data,
Simon Cheng, Yingmei Xi and Ming-Hui Chen, in Sociological Methods & Research (2008)
Keywords: misclassification; Bayesian; mismeasured discrete variable; mixture model

Estimating the Productivity Impacts of Technology Adoption in the Presence of Misclassification,
Tesfamicheal Wossen, Tahirou Abdoulaye, Arega Alene, Pierre Nguimkeu, Shiferaw Feleke, Ismail Y Rabbi, Mekbib Haile and Victor Manyong, in American Journal of Agricultural Economics (2019)
Keywords: Adoption, cassava, DNA-fingerprinting, impact, misclassification, Nigeria

Bayesian Analysis and Design for Joint Modeling of Two Binary Responses With Misclassification,
James Stamey, Daniel P. Beavers and Michael E. Sherr, in Sociological Methods & Research (2017)
Keywords: misclassification; Bayesian design; correlated binary

Estimating first-price auctions with an unknown number of bidders: A misclassification approach,
Yonghong An, Yingyao Hu and Matthew Shum, in Journal of Econometrics (2010)
Keywords: Auction models Nonparametric identification Misclassification

Misclassification in Construction: The Original Gig Economy,
Mark Erlich, in ILR Review (2021)
Keywords: construction industry; independent contractors; misclassification; labor regulations; union decline; gig economy; federal and state wage enforcement agencies

Estimation of Average Treatment Effects With Misclassification,
Arthur Lewbel, from Boston College Department of Economics (2006)
Keywords: binary regressor, program evaluation,treatment effects, misclassification, contamination bias, measurement error, binary choice, binomial response.

Minimum variance estimators for misclassification probabilities in discriminant analysis,
James D. Broffitt and J. S. Williams, in Journal of Multivariate Analysis (1973)
Keywords: Estimating misclassification probabilities classification linear discriminant function minimum variance estimation

Estimation of relative average treatment effects with misclassification,
Lianyan Fu, Wei Gao and Ning-Zhong Shi, in Economics Letters (2011)
Keywords: Misclassification Treatment effect Relative effect Policy intervention Estimation

Convergence rate of estimators of clustered panel models with misclassification,
Andreas Dzemski and Ryo Okui, in Economics Letters (2021)
Keywords: Panel data; Latent grouped structure; Clustering; kmeans; Convergence rate; Misclassification;

Measuring the Effects of Bid-Rigging on Prices with Binary Misclassification,
Seoyun Hong, Chang Sik Kim and Hyunchul Kim, in Review of Industrial Organization (2022)
Keywords: Bid-rigging, Overcharges, Binary regressors, Misclassification error, Partial identification

Sample size determination of binomial data with the presence of misclassification,
Athanassios Katsis, in Metrika: International Journal for Theoretical and Applied Statistics (2005)
Keywords: Sample size, Misclassification, Bayesian design, Primary 62K05, Secondary 62F15,

Misclassification error when identifying job stayers in the Current Population Survey,
Chase Eck, in Economics Bulletin (2018)
Keywords: wage rigidity, job stayers, CPS, misclassification

A Multistage Screening Model for Evaluation and Control of Misclassification Error in the Detection of Hypertension,
Herbert Moskowitz, Robert Plante and Hsien-Tang Tsai, in Management Science (1993)
Keywords: multistage screening model, misclassification error, quality control

Correcting bias due to misclassification in the estimation of logistic regression models,
K. F. Cheng and H. M. Hsueh, in Statistics & Probability Letters (1999)
Keywords: Estimated likelihood Kernel estimation Logistic regression Misclassification

A Binary Choice Model with Sample Selection and Covariate-Related Misclassification,
Jorge González Chapela, in Econometrics (2022)
Keywords: bivariate probit; misclassification; sample selection; lifetime migration

Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession,
Shuaizhang Feng and Jiandong Sun, from Human Capital and Economic Opportunity Working Group (2020)
Keywords: economic recession, Sahm rule, misclassification, unemployment rate

The halo effect of foreign brands on the misclassification of local brands,
Sulhaini Sulhaini, Rinuastuti Baiq Handayani and Sakti Dwi Putra Buana, in Management & Marketing (2019)
Keywords: halo effect, brand identity misclassification, inferior image of local products, consumer attitudes

Influence of observations on the misclassification probability in quadratic discriminant analysis,
Christophe Croux and Kristel Joossens, in Journal of Multivariate Analysis (2005)
Keywords: Classification Diagnostics Misclassification probability Outliers Partial influence functions Quadratic discriminant analysis

The Hidden Costs of Tariff Misclassification: Structural Winners and Losers,
Hector Sandoval, Pedro Hancevic and Hernan Bejarano, from CIDE, División de Economía (2024)
Keywords: tariff misclassification, firm behavior, electricity consumption, self- selection, suboptimal choice, illegal behavior.

Misclassification Errors and the Underestimation of U.S. Unemployment Rates,
Shuaizhang Feng and Yingyao Hu, from Institute of Labor Economics (IZA) (2010)
Keywords: Current Population Survey, unemployment rate, labor force participation rate, misclassification, measurement error

Misclassification-errors-adjusted Sahm Rule for Early Identification of Economic Recession,
Shuaizhang Feng and Jiandong Sun, from Global Labor Organization (GLO) (2020)
Keywords: Economic recession, Sahm rule, Misclassification errors, Unemployment rate

Asymptotic expansions of the probabilities of misclassification for k-NN discriminant rules,
Kamal C. Chanda, in Statistics & Probability Letters (1990)
Keywords: Nearest neighbor discriminant rule probability of misclassification asymptotic expansions

Asymptotic estimate of probability of misclassification for discriminant rules based on density estimates,
Kamal C. Chanda and F. H. Ruymgaart, in Statistics & Probability Letters (1989)
Keywords: optimal classification rule probability of misclassification kernel function density estimates

Bayesian moment-based inference in a regression model with misclassification error,
Christopher Bollinger and Martijn van Hasselt, in Journal of Econometrics (2017)
Keywords: Binary misclassification; Partial identification; Bayesian bootstrap; Empirical likelihood;

Misclassification errors in labor force statuses and the early identification of economic recessions,
Jiandong Sun, Shuaizhang Feng and Yingyao Hu, in Journal of Asian Economics (2021)
Keywords: Economic recession; Sahm rule; Misclassification errors; Unemployment rate;

A Bayesian method for addressing multinomial misclassification with applications for alcohol epidemiological modeling,
William J. Parish, Arnie Aldridge and Martijn van Hasselt, in Stata Journal (2024)
Keywords: bamm, bammdx, Bayesian, multinomial, misclassification, alcohol, liver cirrhosis

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data,
Dianxu Ren and Roslyn Stone, in Journal of Applied Statistics (2007)
Keywords: Bayesian approach, misclassification, logistic model, random effect logistic model, MCMC,

Instance-dependent misclassification cost-sensitive learning for default prediction,
Jin Xing, Guotai Chi and Ancheng Pan, in Research in International Business and Finance (2024)
Keywords: Credibility; Default prediction; Difficulty of instances; Misclassification cost-sensitive; Optimal threshold;

Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining,
Mengke Qiao and Ke-Wei Huang, in Information Systems Research (2021)
Keywords: data mining, econometrics, measurement error, misclassification, statistical inference, performance metric

Misreporting and Misclassification: Implications for Socioeconomic Disparities in Body-mass Index and Obesity,
Åsa Ljungvall, Ulf-G. Gerdtham and Ulf Lindblad, from Lund University, Department of Economics (2012)
Keywords: body-mass index; waist circumference; obesity; socioeconomic disparity; misreporting; misclassification

Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession,
Shuaizhang Feng and Jiandong Sun, from Institute of Labor Economics (IZA) (2020)
Keywords: misclassification errors, Sahm rule, economic recession, unemployment rate

Investigating healthy life expectancy using a multi-state model in the presence of missing data and misclassification,
Ardo van den Hout, Ekaterina Ogurtsova, Jutta Gampe and Fiona Matthews, in Demographic Research (2014)
Keywords: micro-simulation, panel data, misclassification, cognitive functioning

Robust Bayesian Sensitivity Analysis for Case–Control Studies with Uncertain Exposure Misclassification Probabilities,
Mak Timothy Shin Heng, Best Nicky and Rushton Lesley, in The International Journal of Biostatistics (2015)
Keywords: misclassification, robust Bayes, case–control study, Bayesian

PVW: Stata module to perform predictive value weighting for covariate misclassification in logistic regression,
Jonathan Bartlett, from Boston College Department of Economics (2019)
Keywords: misclassification, logistic regression, logit, sensitivity, specificity

Land Use Misclassification Results in Water Use, Economic Value, and GHG Emission Discrepancies in California’s High-Intensity Agriculture Region,
Vicky Espinoza, Lorenzo Ade Booth and Joshua H. Viers, in Sustainability (2023)
Keywords: land use misclassification; California agriculture; greenhouse gas emissions; crop water requirement; economic costs; misclassification discrepancies

Effect of Misclassification on Test of Independence Using Different Randomized Response Techniques,
Asma Halim, Irshad Ahmad Arshad, Summaira Haroon and Waqas Shair, in Journal of Policy Research (JPR) (2022)
Keywords: Misclassification, Randomized Response, Perturbation, Independence, Chi-square test of association, Sensitive issues

Misclassification error in satellite imagery data: Implications for empirical land-use models,
Austin M. Sandler and Benjamin S. Rashford, in Land Use Policy (2018)
Keywords: Land-use; Econometrics; Misclassification error; Satellite imagery data; Northern Great Plains;

Binary choice with misclassification and social interactions, with an application to peer effects in attitude,
Zhongjian Lin and Yingyao Hu, in Journal of Econometrics (2024)
Keywords: Measurement error; Misclassification; Social interactions; Nested pseudo likelihood; Large network; Peer effects; Attitude;

A methodological procedure for evaluating curve-related misclassifications in motor vehicle crash databases,
Yang Xu, Zhe Han, Zhanmin Zhang and Michael Murphy, in Research in Transportation Economics (2024)
Keywords: Data consistency; Motor vehicle crash data; Horizontal curves; Curve-related crash misclassifications; Data integration;

Direct Effects under Differential Misclassification in Outcomes, Exposures, and Mediators,
Li Yige and VanderWeele Tyler J., in Journal of Causal Inference (2020)
Keywords: Controlled direct effect, Differential misclassification, Mediation analysis, Natural direct effect, Sensitivity analysis

Misclassification-robust semiparametric estimation of single-index binary-choice models,
P Čížek and S Sadıkoğlu, in The Econometrics Journal (2022)
Keywords: Asymptotic normality, binary-choice model, breakdown point, indirect inference, misclassification, single-index model

Parametric Regression Analysis with Covariate Misclassification in Main Study/Validation Study Designs,
Yi Grace Y., Yan Ying, Liao Xiaomei and Spiegelman Donna, in The International Journal of Biostatistics (2019)
Keywords: efficiency, estimating function, external validation study, internal validation study, likelihood method, measurement error, misclassification

Misreporting and misclassification: implications for socioeconomic disparities in body-mass index and obesity,
Åsa Ljungvall, Ulf-G. Gerdtham and Ulf Lindblad, in The European Journal of Health Economics (2015)
Keywords: Misreporting, Misclassification, BMI, Obesity, Waist circumference, Education, Income, C18, I12, I14,

Errors of misclassification in discrimination with data from truncated t populations,
Apostolos Batsidis, in Statistical Papers (2012)
Keywords: Truncated t , Errors of misclassification, Linear discriminant function, Distribution of errors, 62H30, 62F35,

Confidence intervals for the ratio of two Poisson rates under one-way differential misclassification using double sampling,
David J. Kahle, Phil D. Young, Brandi A. Greer and Dean M. Young, in Computational Statistics & Data Analysis (2016)
Keywords: Poisson rates; Differential misclassification; Double-sampling; Under-reporting; R;

Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining,
Mochen Yang, Gediminas Adomavicius, Gordon Burtch and Yuqing Rena, in Information Systems Research (2018)
Keywords: data mining; econometrics; measurement error; misclassification; statistical inference

Race and Ethnicity Misclassification in Hospital Discharge Data and the Impact on Differences in Severe Maternal Morbidity Rates in Florida,
Chinyere N. Reid, Renice Obure, Jason L. Salemi, Chinwendu Ilonzo, Judette Louis, Estefania Rubio and William M. Sappenfield, in IJERPH (2023)
Keywords: race and ethnicity; misclassification; severe maternal morbidity; hospital discharge; birth certificate

Quantifying the Health Burden Misclassification from the Use of Different PM 2.5 Exposure Tier Models: A Case Study of London,
Vasilis Kazakos, Zhiwen Luo and Ian Ewart, in IJERPH (2020)
Keywords: PM 2.5 ; population exposure; tier-models; health burden misclassification; BenMap-CE

Misclassification in travel surveys and implications to choice modeling: application to household auto ownership decisions,
Rajesh Paleti and Lacramioara Balan, in Transportation (2019)
Keywords: Misclassification, Auto ownership, Latent class models, Activity-based models

Computing Asymptotic Power and Sample Size for Case-Control Genetic Association Studies in the Presence of Phenotype and/or Genotype Misclassification Errors,
Ji Fei, Yang Yaning, Haynes Chad, Finch Stephen J and Gordon Derek, in Statistical Applications in Genetics and Molecular Biology (2006)
Keywords: diagnostic error, diagnosis error, misclassification, genotyping error, phenotyping error

Estimating Complex Multi-State Misclassification Rates for Biopsy-Measured Liver Fibrosis in Patients with Hepatitis C,
Bacchetti Peter and Boylan Ross, in The International Journal of Biostatistics (2009)
Keywords: fibrosis, hepatitis C, kappa statistic, latent variables, misclassification

Partial Identification arising from Nondifferential Exposure Misclassification: How Informative are Data on the Unlikely, Maybe, and Likely Exposed?,
Wang Dongxu, Shen Tian and Gustafson Paul, in The International Journal of Biostatistics (2012)
Keywords: Bayesian methods, case-control analysis, exposure misclassification, partial identification.

Analytical Split Value Calculation for Numerical Attributes in Hoeffding Trees with Misclassification-Based Impurity,
Mehran Mirkhan, Maryam Amir Haeri and Mohammad Reza Meybodi, in Annals of Data Science (2021)
Keywords: Hoeffding tree, Gaussian distribution, Misclassification error, Massive and streaming data

The misclassification error of the maximum likelihood procedure when deciding among a finite choice of distributions,
Christopher Withers and Saralees Nadarajah, in Metrika: International Journal for Theoretical and Applied Statistics (2010)
Keywords: Bayes distance, Canonical exponential family, Maximum likelihood, Misclassification error,

Wage Penalty of Abstinence and Wage Premium of Drinking - A misclassification bias due to pooling of drinking groups?,
Johan Jarl and Ulf-G. Gerdtham, from Lund University, Department of Economics (2009)
Keywords: Alcohol consumption; Drinking history; Consumption groups; Misclassification bias

Effects of Non-Differential Exposure Misclassification on False Conclusions in Hypothesis-Generating Studies,
Igor Burstyn, Yunwen Yang and A. Robert Schnatter, in IJERPH (2014)
Keywords: false positive; false negative; Monte-Carlo simulation; study design; ase-control studies; measurement error; exposure misclassification; Bayesian; hypothesis-testing; power

Learning cost sensitive binary classification rules accounting for uncertain and unequal misclassification costs,
Lydia Rybizki, from Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics (2014)
Keywords: unequal misclassification costs, proper scoring rules, AUC, boosting, CART, model selection, pruning, early stopping

Consumers' cognitive and affective responses to brand origin misclassifications: Does confidence in brand origin identification matter?,
Timo Mandler, Sungbin Won and Kyungae Kim, in Journal of Business Research (2017)
Keywords: Brand origin misclassification; Country-of-origin; Confidence in brand origin identification; Confirmation bias;

Quantifying and Adjusting for Disease Misclassification Due to Loss to Follow-Up in Historical Cohort Mortality Studies,
Laura L. F. Scott and George Maldonado, in IJERPH (2015)
Keywords: probabilistic bias analysis; Monte Carlo; disease misclassification; loss to follow-up; historical cohort mortality

Misclassification cost minimizing fitness functions for genetic algorithm-based artificial neural network classifiers,
P Pendharkar, in Journal of the Operational Research Society (2009)
Keywords: data mining, genetic algorithms, neural networks, misclassification cost, knowledge discovery, classification

Variable interval sampling in economical designs for online process control of attributes with misclassification errors,
L Bessegato, R Quinino, L L Ho and L Duczmal, in Journal of the Operational Research Society (2011)
Keywords: quality control, online process control for attributes, economical design, misclassification errors, Markov chain, variable inspection interval

Parental misclassification of child overweight/obese status: The role of parental education and parental weight status,
John Cullinan and John Cawley, in Economics & Human Biology (2017)
Keywords: Child overweight and obesity; Reporting error; Parental misclassification; Education; Social desirability bias;

Adjusting for differential misclassification in multilevel models: the relationship between child exposure to smoke and cognitive development,
Maria Ferrão and Harvey Goldstein, in Quality & Quantity: International Journal of Methodology (2014)
Keywords: Differential misclassification, Multilevel model, MCMC estimation, Millennium Cohort Study, Pregnancy, Smoking,

Misclassification of the Dependent Variable in Binary Choice Models: Evidence from Five Latin American Countries,
Evangelos Falaris, from University of Delaware, Department of Economics (2007)
Keywords: Data Quality; Misclassification; Formal Sector; Pension Contributor; Job Change; Nicaragua; Peru; Brazil; Guatemala; Panama

Hypothesis Testing for an Exposure–Disease Association in Case–Control Studies Under Nondifferential Exposure Misclassification in the Presence of Validation Data: Bayesian and Frequentist Adjustments,
Mohammad Ehsanul Karim and Paul Gustafson, in Statistics in Biosciences (2016)
Keywords: Bayesian methods, Case–control study, Exposure misclassification, Nondifferential assumption, Hypothesis testing, Validation data

Exact Misclassification Probabilities for Plug-In Normal Quadratic Discriminant Functions: II. The Heterogeneous Case,
H. Richard McFarland and Donald St. P. Richards, in Journal of Multivariate Analysis (2002)
Keywords: apparent error rate Bessel function of matrix argument corporate financial data cross-validation diabetes data discriminant analysis holdout method iris data misclassification probability multivariate gamma function multivariate normal distribution resubstitution method stochastic representation Wishart distribution

Exact Misclassification Probabilities for Plug-In Normal Quadratic Discriminant Functions. I. The Equal-Means Case,
H. Richard McFarland and Donald St. P. Richards, in Journal of Multivariate Analysis (2001)
Keywords: Bessel function of matrix argument biplot discriminant analysis dizygotic twins football helmet design misclassification probability monozygotic twins multivariate gamma function multivariate normality neck injuries stochastic representation stochastic ordering Wishart distribution

A General Method for Dealing with Misclassification in Regression: The Misclassification SIMEX,
Helmut Küchenhoff, Samuel M. Mwalili and Emmanuel Lesaffre, in Biometrics (2006)

Debate: Worker (mis)classification,
Lynda J. Burkinshaw, in Public Money & Management (2016)

Misclassifications in financial risk tolerance,
Caterina Lucarelli, Pierpaolo Uberti and Gianni Brighetti, in Journal of Risk Research (2015)

Mutual fund objective misclassification,
Moon Kim, Ravi Shukla and Michael Tomas, in Journal of Economics and Business (2000)

Language proficiency of immigrants and misclassification,
Augustin de Coulon and François-Charles Wolff, in Applied Economics Letters (2007)

Binomial Regression with Misclassification,
Carlos Daniel Paulino, Paulo Soares and John Neuhaus, in Biometrics (2003)

Misclassification in Difference-in-differences Models,
Augustine Denteh and D\'esir\'e K\'edagni, from arXiv.org (2022)

MISCLASSIFICATION IN BINARY CHOICE MODELS,
Bruce Meyer and Nikolas Mittag, from U.S. Census Bureau, Center for Economic Studies (2013)
Keywords: measurement error; binary choice models; program take-up; food stamps.

Misclassification in binary choice models,
Bruce D. Meyer and Nikolas Mittag, in Journal of Econometrics (2017)
Keywords: Measurement error; Binary choice models; Program take-up; Food stamps;

Bias in Estimation of Misclassification Rates,
Shelby Haberman, in Psychometrika (2006)
Keywords: penalty function, entropy, concentration, large-sample approximation,

Misclassification in Binary Choice Models,
Bruce Meyer and Nikolas Mittag, from National Bureau of Economic Research, Inc (2014)

Increase of Rejection Rate in Case-Control Studies with the Differential Genotyping Error Rates,
Ahn Kwangmi, Gordon Derek and Finch Stephen J, in Statistical Applications in Genetics and Molecular Biology (2009)
Keywords: misclassification, genotyping error

Gross profit manipulation in emerging economies: evidence from India,
Manish Bansal, Ashish Kumar and Vivek Kumar, in Pacific Accounting Review (2021)
Keywords: Classification shifting, COGS misclassification, Gross profit, Revenue misclassification

INSTRUMENTAL VARIABLE QUANTILE REGRESSION WITH MISCLASSIFICATION,
Takuya Ura, in Econometric Theory (2021)

CORRECTION OF MISCLASSIFICATION ERROR IN DISABILITY RATES,
Amanda Gosling and Eirini-Christina Saloniki, in Health Economics (2014)

Lessons from misclassification in international accounting,
Christopher Nobes, in The British Accounting Review (2018)
Keywords: Classification; International accounting;

Misclassification of childhood homicide on death certificates,
G.D. Lapidus, D.I. Gregorio and H. Hansen, in American Journal of Public Health (1990)