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Joseph L. Schafer - Publications

Affiliations: 
Pennsylvania State University, State College, PA, United States 
Area:
Statistics
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23 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2012 Schafer JL. Marginal Modeling of Intensive Longitudinal Data by Generalized Estimating Equations Models For Intensive Longitudinal Data. DOI: 10.1093/acprof:oso/9780195173444.003.0002  0.379
2011 Chung H, Anthony JC, Schafer JL. 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. PMID 27313406 DOI: 10.1111/J.1467-985X.2010.00674.X  0.549
2011 Chung H, Anthony JC, Schafer JL. 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. DOI: 10.1111/j.1467-985X.2010.00674.x  0.479
2011 Jung H, Schafer JL, Seo B. A latent class selection model for nonignorably missing data Computational Statistics and Data Analysis. 55: 802-812. DOI: 10.1016/J.Csda.2010.07.002  0.525
2009 Harel O, Schafer JL. Partial and latent ignorability in missing-data problems Biometrika. 96: 37-50. DOI: 10.1093/Biomet/Asn069  0.475
2008 Schafer JL, Kang J. Average causal effects from nonrandomized studies: a practical guide and simulated example. Psychological Methods. 13: 279-313. PMID 19071996 DOI: 10.1037/A0014268  0.391
2007 Lanza ST, Collins LM, Lemmon DR, Schafer JL. PROC LCA: A SAS Procedure for Latent Class Analysis. Structural Equation Modeling : a Multidisciplinary Journal. 14: 671-694. PMID 19953201 DOI: 10.1080/10705510701575602  0.441
2007 Bernaards CA, Belin TR, Schafer JL. Robustness of a multivariate normal approximation for imputation of incomplete binary data. Statistics in Medicine. 26: 1368-82. PMID 16810713 DOI: 10.1002/Sim.2619  0.442
2006 Chung H, Flaherty BP, Schafer JL. 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. DOI: 10.1111/J.1467-985X.2006.00419.X  0.566
2005 Lanza ST, Collins LM, Schafer JL, Flaherty BP. Using data augmentation to obtain standard errors and conduct hypothesis tests in latent class and latent transition analysis. Psychological Methods. 10: 84-100. PMID 15810870 DOI: 10.1037/1082-989X.10.1.84  0.462
2004 Chung H, Loken E, Schafer JL. Difficulties in Drawing Inferences With Finite-Mixture Models The American Statistician. 58: 152-158. DOI: 10.1198/0003130043286  0.528
2004 Chung H, Loken E, Schafer JL. Difficulties in drawing inferences with finite-mixture models: A simple example with a simple solution American Statistician. 58: 152-158.  0.331
2003 Demirtas H, Schafer JL. On the performance of random-coefficient pattern-mixture models for non-ignorable drop-out. Statistics in Medicine. 22: 2553-75. PMID 12898544 DOI: 10.1002/Sim.1475  0.597
2003 Ghosh-Dastidar B, Schafer JL. Multiple Edit/Multiple Imputation for Multivariate Continuous Data Journal of the American Statistical Association. 98: 807-817. DOI: 10.1198/016214503000000738  0.418
2003 Schafer JL. Multiple imputation in multivariate problems when the imputation and analysis models differ Statistica Neerlandica. 57: 19-35. DOI: 10.1111/1467-9574.00218  0.378
2002 Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychological Methods. 7: 147-77. PMID 12090408 DOI: 10.1037/1082-989X.7.2.147  0.385
2002 Schafer JL, Yucel RM. Computational strategies for multivariate linear mixed-effects models with missing values Journal of Computational and Graphical Statistics. 11: 437-457. DOI: 10.1198/106186002760180608  0.609
2001 Collins LM, Schafer JL, Kam CM. A comparison of inclusive and restrictive strategies in modern missing data procedures Psychological Methods. 6: 330-351. PMID 11778676 DOI: 10.1037/1082-989X.6.4.330  0.396
2001 Olsen MK, Schafer JL. A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data Journal of the American Statistical Association. 96: 730-745.  0.419
2000 Schafer JL, Schenker N. Inference With Imputed Conditional Means Journal of the American Statistical Association. 95: 144-154.  0.394
1998 Schafer JL, Olsen MK. Multiple imputation for multivariate missing-data problems: A data analyst's perspective Multivariate Behavioral Research. 33: 545-571.  0.359
1993 Belin TR, Diffendal GJ, Mack S, Rubin DB, Schafer JL, Zaslavsky AM. Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation. Journal of the American Statistical Association. 88: 1,149-66. PMID 12155420  0.355
1993 Belin TR, Diffendal GJ, Mack S, Rubin DB, Schafer JL, Zaslavsky AM. Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation Journal of the American Statistical Association. 88: 1149-1159. DOI: 10.1080/01621459.1993.10476388  0.307
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