J L Schafer

Summary

Affiliation: Pennsylvania State University
Country: USA

Publications

  1. ncbi Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis
    Stephanie T Lanza
    The Methodology Center, Pennsylvania State University, State College, PA 16801, USA
    Psychol Methods 10:84-100. 2005
  2. ncbi Multiple imputation: a primer
    J L Schafer
    Department of Statistics, Pennsylvania State University, University Park 16802 6202, USA
    Stat Methods Med Res 8:3-15. 1999
  3. ncbi Missing data: our view of the state of the art
    Joseph L Schafer
    Department of Statistics and The Methodology Center, Pennsylvania State University, University Park 16802, USA
    Psychol Methods 7:147-77. 2002
  4. ncbi Average causal effects from nonrandomized studies: a practical guide and simulated example
    Joseph L Schafer
    Department of Statistics, The Pennsylvania State University, PA, USA
    Psychol Methods 13:279-313. 2008
  5. ncbi A comparison of inclusive and restrictive strategies in modern missing data procedures
    L M Collins
    The Methodology Center and Department of Human Development and Family Studies, The Pennsylvania State University, University Park 16802, USA
    Psychol Methods 6:330-51. 2001
  6. ncbi On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out
    Hakan Demirtas
    Department of Statistics and The Methodology Center, Pennsylvania State University, University Park, PA 16802, U.S.A
    Stat Med 22:2553-75. 2003

Detail Information

Publications6

  1. ncbi Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis
    Stephanie T Lanza
    The Methodology Center, Pennsylvania State University, State College, PA 16801, USA
    Psychol Methods 10:84-100. 2005
    ..DA is demonstrated with an example involving tests of ethnic differences, gender differences, and an Ethnicity x Gender interaction in the development of adolescent problem behavior...
  2. ncbi Multiple imputation: a primer
    J L Schafer
    Department of Statistics, Pennsylvania State University, University Park 16802 6202, USA
    Stat Methods Med Res 8:3-15. 1999
    ..Essential features of multiple imputation are reviewed, with answers to frequently asked questions about using the method in practice...
  3. ncbi Missing data: our view of the state of the art
    Joseph L Schafer
    Department of Statistics and The Methodology Center, Pennsylvania State University, University Park 16802, USA
    Psychol Methods 7:147-77. 2002
    ..Although not yet in the mainstream, these procedures may eventually extend the ML and MI methods that currently represent the state of the art...
  4. ncbi Average causal effects from nonrandomized studies: a practical guide and simulated example
    Joseph L Schafer
    Department of Statistics, The Pennsylvania State University, PA, USA
    Psychol Methods 13:279-313. 2008
    ..Throughout the article, the authors offer insights and practical guidance for researchers who attempt causal inference with observational data...
  5. ncbi A comparison of inclusive and restrictive strategies in modern missing data procedures
    L M Collins
    The Methodology Center and Department of Human Development and Family Studies, The Pennsylvania State University, University Park 16802, USA
    Psychol Methods 6:330-51. 2001
    ..As implemented in currently available software, the ML approach tends to encourage the use of a restrictive strategy, whereas the MI approach makes it relatively simple to use an inclusive strategy...
  6. ncbi On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out
    Hakan Demirtas
    Department of Statistics and The Methodology Center, Pennsylvania State University, University Park, PA 16802, U.S.A
    Stat Med 22:2553-75. 2003
    ....