Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
By Jason A. Roy, Xihong Lin. 2002
99 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/57433e830e1feae93b8ff7ccb4ca48411208af41
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In Statistics and Probability
Citations in the corpus
- Semiparametric Regression Analysis of Longitudinal Data With Informative Observation Times (2005, unknown): “One situation that is similar to that considered here, but different, is the analysis of longitudinal data in the presence of informative or nonignorable dropouts or informative censoring times (Little 1995; Roy and Lin 2002; Wang and Taylor 2001; Wu and Carroll 1988; Wulfsohn and Tsiatis 1997).”
- Regression Analysis of Longitudinal Data in the Presence of Informative Observation and Censoring Times (2007, background): “Recently, some authors have considered the situation in which there exists an informative or nonignorable dropout or informative censoring time (Huang and Wang 2004; Little 1995; Roy and Lin 2002; Sun and Song 2001; Wang and Taylor 2001; Wu and Carroll 1988; Wulfsohn and Tsiatis 1997).”