Estimating inverse-probability weights for longitudinal data with dropout or truncation: The xtrccipw command

Details

• Alternative Title:
  Stata J
• Personal Author:
  Daza, Eric J. ; Hudgens, Michael G. ; Herring, Amy H.
• Description:
  Individuals may drop out of a longitudinal study, rendering their outcomes unobserved but still well defined. However, they may also undergo truncation (for example, death), beyond which their outcomes are no longer meaningful. Kurland and Heagerty (2005, | 6: 241-258) developed a method to conduct regression conditioning on nontruncation, that is, regression conditioning on continuation (RCC), for longitudinal outcomes that are monotonically missing at random (for example, because of dropout). This method first estimates the probability of dropout among continuing individuals to construct inverse-probability weights (IPWs), then fits generalized estimating equations (GEE) with these IPWs. In this article, we present the xtrccipw command, which can both estimate the IPWs required by RCC and then use these IPWs in a GEE estimator by calling the glm command from within xtrccipw. In the absence of truncation, the xtrccipw command can also be used to run a weighted GEE analysis. We demonstrate the xtrccipw command by analyzing an example dataset and the original Kurland and Heagerty (2005) data. We also use xtrccipw to illustrate some empirical properties of RCC through a simulation study.
• Keywords:
  Dropout Generalized Estimating Equations Inverse-probability Weights Longitudinal Data Missing At Random St0474 Truncation Weighted GEE Xtrccipw
• Source:
  Stata J. 17(2):253-278
• Pubmed ID:
  29755297
• Pubmed Central ID:
  PMC5947963
• Document Type:
  Journal Article
• Funding:
  U48 DP001944/DP/NCCDPHP CDC HHSUnited States/ ; U48DP001944/ACL/ACL HHSUnited States/ ; R01 AI085073/AI/NIAID NIH HHSUnited States/ ; R01 ES020619/ES/NIEHS NIH HHSUnited States/ ; R01 AI029168/AI/NIAID NIH HHSUnited States/ ; R24 HD050924/HD/NICHD NIH HHSUnited States/ ; P2C HD050924/HD/NICHD NIH HHSUnited States/ ; U48 DP000059/DP/NCCDPHP CDC HHSUnited States/ ; P30 AI050410/AI/NIAID NIH HHSUnited States/
• Volume:
  17
• Issue:
  2
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:d15492cbf926662864425525fbeae98fcecb5da7ae6f60bbd736b7e59cb3c8de
• Download URL:
  https://stacks.cdc.gov/view/cdc/158009/cdc_158009_DS1.pdf
• File Type:
  [PDF - 700.93 KB ]