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文章基本信息

  • 标题:Reducing Selection Bias in Analyzing Longitudinal Health Data with High Mortality Rates
  • 本地全文:下载
  • 作者:Liu, Xian ; Engel, Charles C. ; Kang, Han
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2010
  • 卷号:9
  • 期号:2
  • 页码:9
  • 出版社:Wayne State University
  • 摘要: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.
  • 关键词:Longitudinal data; mortality rates; nonrandom dropouts; selection bias
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