Guoshen Wang

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Common Coauthors
Coauthor Papers Together
Yi Pan 1
Ruiguang Song 1
Yulei He 1
Qian An 1
Yichuan Zhao 1
Commonly Cited References
Action Title Year Authors # of times referenced
+ Cox Survival Analysis of Microarray Gene Expression Data Using Correlation Principal Component Regression 2007 Qiang Zhao
Jianguo Sun
1
+ A comparison of inclusive and restrictive strategies in modern missing data procedures. 2001 Linda M. Collins
Joseph L. Schafer
Chi-Ming Kam
1
+ PDF Chat Linking gene expression data with patient survival times using partial least squares 2002 Peter J. Park
Lü Tian
Isaac S. Kohane
1
+ Additive Risk Models for Survival Data with High‐Dimensional Covariates 2005 Shuangge Ma
Michael R. Kosorok
Jason P. Fine
1
+ Statistical Analysis With Missing Data 1989 Maureen Lahiff
Roderick J. A. Little
Donald B. Rubin
1
+ Semiparametric analysis of the additive risk model 1994 D. Y. Lin
Z. Ying
1
+ Practical Advice on How to Impute Continuous Data When the Ultimate Interest Centers on Dichotomized Outcomes Through Pre-Specified Thresholds 2007 Hakan Demirtaş
1
+ Predicting Patient Survival from Microarray Data by Accelerated Failure Time Modeling Using Partial Least Squares and LASSO 2006 Susmita Datta
Jennifer Le‐Rademacher
Somnath Datta
1
+ Multiple Imputation for Nonresponse in Surveys 1987 Donald B. Rubin
1
+ Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker 2000 Patrick J. Heagerty
Thomas Lumley
Margaret S. Pepe
1
+ PDF Chat A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables 2015 Wei Wu
Fan Jia
Craig K. Enders
1
+ A Comparison of Item-Level and Scale-Level Multiple Imputation for Questionnaire Batteries 2012 Amanda C. Gottschall
Stephen G. West
Craig K. Enders
1
+ A multivariate technique for multiply imputing missing values using a sequence of regression models 2001 Trivellore E. Raghunathan
James M. Lepkowski
John Van Hoewyk
Peter W. Solenberger
1
+ Multiple imputation using chained equations: Issues and guidance for practice 2010 Ian R. White
Patrick Royston
Angela Wood
1
+ PDF Chat What is the difference between missing completely at random and missing at random? 2014 Krishnan Bhaskaran
Liam Smeeth
1
+ PDF Chat Multiple imputation: review of theory, implementation and software 2007 Ofer Harel
Xiao‐Hua Zhou
1
+ PDF Chat Addressing Item-Level Missing Data: A Comparison of Proration and Full Information Maximum Likelihood Estimation 2015 Gina L. Mazza
Craig K. Enders
Linda S. Ruehlman
1
+ Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales 2016 Iris Eekhout
Henrica C. W. de Vet
Michiel R. de Boer
Jos W. R. Twisk
Martijn W. Heymans
1
+ Principal Component Analysis 2005 Ian T. Jolliffe
1
+ PDF Chat Risk Factor Redistribution of the National HIV/AIDS Surveillance Data: An Alternative Approach 2008 Kathleen Mc David Harrison
Tebitha Kajese
H. Irene Hall
Ruiguang Song
1
+ Flexible Imputation of Missing Data 2012 Stef van Buuren
1