Reducing selection bias in analyzing longitudinal health data with high mortality rates

TitleReducing selection bias in analyzing longitudinal health data with high mortality rates
Publication TypeJournal Article
Year of Publication2010
AuthorsLi, X, Engel, CC, Kang, H, Gore, KL
JournalJournal of Modern Applied Statistical Methods
Volume9
Issue2
PaginationArticle 2
KeywordsBias, Meta-analyses, Mortality, Older Adults
Abstract

Two longitudinal regression models, one parametric and one nonparametric, are developed to reduce selection bias when analyzing longitudinal health data with high mortality rates. The parametric mixed model is a two-step linear regression approach, whereas the nonparametric mixed-effects regression model uses a retransformation method to handle random errors across time.

URLhttp://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1394&context=jmasm
Citation Key8760