J. Schafer

发表

Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Joseph Kang, J. Schafer, 2007, 0804.2958.

Missing data: our view of the state of the art.

J. Schafer, J. Graham, 2002, Psychological methods.

A comparison of inclusive and restrictive strategies in modern missing data procedures.

J. Schafer, L. Collins, C. Kam, 2001, Psychological methods.

Imputation of missing covariates under a multivariate linear mixed model

J. Schafer, 2005 .

Multiple imputation: a primer

J. Schafer, 1999, Statistical methods in medical research.

On the performance of multiple imputation for multivariate data with small sample size

J. Schafer, J. Graham, R. Hoyle, 1999 .

Analysis of Incomplete Multivariate Data

Joseph L Schafer, J. Schafer, 1997 .

Difficulties in Drawing Inferences With Finite-Mixture Models

J. Schafer, E. Loken, Hwan Chung, 2004 .

PROC LCA: A SAS Procedure for Latent Class Analysis

Stephanie T. Lanza, J. Schafer, L. Collins, 2007, Structural equation modeling : a multidisciplinary journal.

Average causal effects from nonrandomized studies: a practical guide and simulated example.

J. Schafer, Joseph Kang, 2008, Psychological methods.

Multiple Edit/Multiple Imputation for Multivariate Continuous Data

J. Schafer, B. Ghosh-Dastidar, 2003 .

Multiple Imputation in Multivariate Problems When the Imputation and Analysis Models Differ

J. Schafer, 2003 .

Analysis of Incomplete Multivariate Data (Monographs on Statistics and Applied Probability, No. 72)

J. Schafer, G. Gadbury, 2000 .

Robustness of a multivariate normal approximation for imputation of incomplete binary data

Joseph L Schafer, Thomas R Belin, J. Schafer, 2007, Statistics in medicine.

MULTIPLE IMPUTATION OF MISSING BLOOD ALCOHOL CONCENTRATION (BAC) VALUES IN FARS

D. Rubin, J. Schafer, R. Subramanian, 1998 .

A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data

Joseph L Schafer, Maren K Olsen, J. Schafer, 2001 .

Latent class logistic regression: application to marijuana use and attitudes among high school seniors

Joseph L Schafer, Brian P. Flaherty, Hwan Chung, 2006 .

The Pennsylvania State University The Graduate School The Mary Jean and Frank P. Smeal College of Business Administration A HIERARCHICAL BAYESIAN FINITE MIXTURE MULTIDIMENSIONAL SCALING APPROACH FOR ACCOMMODATING STRUCTURAL AND PREFERENCE HETEROGENEITY IN THREE WAY PREFERENCE DATA

Frank P. Smeal, J. Schafer, W. DeSarbo, 2007 .

Analysis of incomplete multivariate data / J.L. Schafer

J. Schafer, J. L. Schafer, 1997 .

ON THE PERFORMANCE OF RANDOM-COEFFICIENT PATTERN-MIXTURE MODELS FOR NONIGNORABLE ATTRITION

J. Schafer, H. Demirtas, 2002 .

Models for intensive longitudinal data

Theodore A. Walls, Theodore A. Walls, Joseph L. Schafer, 2006 .

Correcting for Selective Nonresponse in the National Longitudinal Survey of Youth Using Multiple Imputation

J. Schafer, M. Shanahan, A. Davey, 2001 .

MULTIPLE IMPUTATIONS: A PRIMER

J L Schafer, J. Schafer, 1999 .

Algorithms for multiple imputation and posterior simulation from incomplete multivariate data with ignorable nonresponse

Donald B. Rubin, Joseph L Schafer, D. Rubin, 1992 .

Multiple Imputation in Two Stages

J. Schafer, O. Harel, 2003 .

Methods For Categorical Data

J. Schafer, 1997 .

Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Joseph Kang, J. Schafer, 2007, 0804.2973.

Bayesian Penalized Spline Models for Statistical Process Monitoring of Survey Paradata Quality Indicators

Joseph L. Schafer, J. Schafer, 2013 .

Statistical inference and Monte Carlo algorithms

Jun S. Liu, Xiao-Li Meng, L. Wasserman, 1996 .

Flexible imputation techniques for incomplete multivariate multilevel data

Joseph L Schafer, J. Schafer, 2000 .

Inference By Data Augmentation

Joseph L Schafer, J. Schafer, 1997 .

Missing data in logitudinal studies

Joseph L Schafer, J. Schafer, 2002 .

PROC LCA & PROC LTA Users' Guide (Version 1.1.3)

Linda M. Collins, Stephanie T. Lanza, Joseph L Schafer, 2007 .

Multiple imputation for missing-data problems

Joseph L Schafer, J. Schafer, 2001 .

Multiple Imputation for Multivariate Missing-Data Problems: A Data Analyst's Perspective.

J L Schafer, M K Olsen, J. Schafer, 1998, Multivariate behavioral research.

A latent class selection model for nonignorably missing data

Hyekyung Jung, Joseph L. Schafer, Byungtae Seo, 2011, Comput. Stat. Data Anal..

Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis.

Stephanie T. Lanza, Joseph L Schafer, Brian P. Flaherty, 2005, Psychological methods.

Computational Strategies for Multivariate Linear Mixed-Effects Models With Missing Values

J. Schafer, R. Yucel, 2002 .

Partial and latent ignorability in missing-data problems

Ofer Harel, Joseph L Schafer, J. Schafer, 2009 .

Inference with Imputed Conditional Means

Joseph L Schafer, Nathaniel Schenker, J. Schafer, 2000 .

The NHANES III multiple imputation project

Roderick J. A. Little, Donald B. Rubin, Joseph L Schafer, 1996 .

Latent class profile analysis: an application to stage sequential processes in early onset drinking behaviours

J. Schafer, J. Anthony, Hwan Chung, 2011, Journal of the Royal Statistical Society. Series A,.

A stimulation study to evaluate the performance of model-based multiple imputations in HCHS health examination surveys

Roderick J. A. Little, Donald B. Rubin, Joseph L Schafer, 1995 .

Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation.

D. Rubin, J. Schafer, A. Zaslavsky, 1993, Journal of the American Statistical Association.

On the performance of random‐coefficient pattern‐mixture models for non‐ignorable drop‐out

Joseph L Schafer, Hakan Demirtas, J. Schafer, 2003, Statistics in medicine.

Modeling and imputation of semicontinuous survey variables

Joseph L Schafer, Maren K. Olsen, J. Schafer, 1999 .

Outlier Detection and Editing Procedures for Continuous Multivariate Data

Bonnie Ghosh-Dastider, J. L. Schafer, J. Schafer, 2003 .

A class of models for semicont inuous longitudinal data

J. Schafer, M. Olsen, 2002 .

Modeling the Effects of Recent Field Interventions in the National Crime Victimization Survey

J. Schafer, 2014 .

Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations

Joseph L. Schafer, J. Schafer, 2006 .

Multiple imputation: a primer

J. Schafer, 1999, Statistical methods in medical research.

Multiple imputation with PAN.

Joseph L. Schafer, J. Schafer, 2001 .

Log-Linear Modeling with Missing and Coarsened Values Using the cvam Package

J. Schafer, 2021 .

Average causal effects from nonrandomized studies: a practical guide and simulated example.

J. Schafer, Joseph Kang, 2008, Psychological methods.

Tools for Estimating Causal Dose Response Functions

Joseph Schafer, J. Schafer, 2015 .

Variance estimation with imputed means

Joseph L Schafer, Nathaniel Schenker, J. Schafer, 1991 .

Analysis of Incomplete Multivariate Data

J. Schafer, 1997 .

Introduction to multiple imputation for missing-data problems

Joseph L Schafer, J. Schafer, 1997 .

Multiple Imputation for incomplete multivariate data under a latent-class selection model

Joseph L Schafer, J. Schafer, H. Jung, 2006 .