1-5 of 5
Authors: Jason Roy
Sort by
Journal Article
Bayesian Nonparametric Generative Models for Causal Inference with Missing at Random Covariates
Get access
Jason Roy and others
Biometrics, Volume 74, Issue 4, December 2018, Pages 1193–1202, https://doi.org/10.1111/biom.12875
Published: 26 March 2018
Journal Article
A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times
Get access
Jason Roy and Michael J. Daniels
Biometrics, Volume 64, Issue 2, June 2008, Pages 538–545, https://doi.org/10.1111/j.1541-0420.2007.00884.x
Published: 28 June 2008
Journal Article
Missing Covariates in Longitudinal Data with Informative Dropouts: Bias Analysis and Inference
Get access
Jason Roy and Xihong Lin
Biometrics, Volume 61, Issue 3, September 2005, Pages 837–846, https://doi.org/10.1111/j.1541-0420.2005.00340.x
Published: 31 August 2005
Journal Article
Latent Variable Models for Longitudinal Data with Multiple Continuous Outcomes
Get access
Jason Roy and Xihong Lin
Biometrics, Volume 56, Issue 4, December 2000, Pages 1047–1054, https://doi.org/10.1111/j.0006-341X.2000.01047.x
Published: 24 May 2004
Journal Article
Modeling Longitudinal Data with Nonignorable Dropouts Using a Latent Dropout Class Model
Get access
Jason Roy
Biometrics, Volume 59, Issue 4, December 2003, Pages 829–836, https://doi.org/10.1111/j.0006-341X.2003.00097.x
Published: 11 December 2003