Joseph L. Schafer

Affiliations: 
Pennsylvania State University, State College, PA, United States 
Area:
Statistics
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"Joseph Schafer"

Children

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Recai M. Yucel grad student 2000 Penn State
Hwan Chung grad student 2003 Penn State
Hakan Demirtas grad student 2003 Penn State
Hyekyung Jung grad student 2007 Penn State
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Publications

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Chung H, Anthony JC, Schafer JL. (2011) Latent class profile analysis: an application to stage-sequential process in early-onset drinking behaviours. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 174: 689-712
Chung H, Anthony JC, Schafer JL. (2011) Latent class profile analysis: An application to stage sequential processes in early onset drinking behaviours Journal of the Royal Statistical Society. Series a: Statistics in Society. 174: 689-712
Jung H, Schafer JL, Seo B. (2011) A latent class selection model for nonignorably missing data Computational Statistics and Data Analysis. 55: 802-812
Harel O, Schafer JL. (2009) Partial and latent ignorability in missing-data problems Biometrika. 96: 37-50
Schafer JL, Kang J. (2008) Average causal effects from nonrandomized studies: a practical guide and simulated example. Psychological Methods. 13: 279-313
Lanza ST, Collins LM, Lemmon DR, et al. (2007) PROC LCA: A SAS Procedure for Latent Class Analysis. Structural Equation Modeling : a Multidisciplinary Journal. 14: 671-694
Bernaards CA, Belin TR, Schafer JL. (2007) Robustness of a multivariate normal approximation for imputation of incomplete binary data. Statistics in Medicine. 26: 1368-82
Kang JDY, Schafer JL. (2007) Rejoinder: Demystifying double robustness: A comparison of alternative strategies for estimating a population mean from incomplete data Statistical Science. 22: 574-580
Chung H, Flaherty BP, Schafer JL. (2006) Latent class logistic regression: Application to marijuana use and attitudes among high school seniors Journal of the Royal Statistical Society. Series a: Statistics in Society. 169: 723-743
Davidian M, Tsiatis AA, Leon S. (2005) Semiparametric Estimation of Treatment Effect in a Pretest-Posttest Study with Missing Data. Statistical Science : a Review Journal of the Institute of Mathematical Statistics. 20: 261-301
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