Literature DB >> 30766452

Multiple Imputation When Rate of Change is the Outcome of Interest.

Manisha Desai1, Aya A Mitani2, Susan W Bryson3, Thomas Robinson4.   

Abstract

Little research has been devoted to multiple imputation (MI) of derived variables. This study investigates various MI approaches for the outcome, rate of change, when the analysis model is a two-stage linear regression. Simulations showed that competitive approaches depended on the missing data mechanism and presence of auxiliary terms.

Entities:  

Keywords:  Multiple imputation; active imputation; derived variables; mixed effects model; passive imputation; slope; two-stage linear regression

Year:  2016        PMID: 30766452      PMCID: PMC6372125          DOI: 10.22237/jmasm/1462075740

Source DB:  PubMed          Journal:  J Mod Appl Stat Methods        ISSN: 1538-9472


  1 in total

1.  Imputing Longitudinal Growth Data in International Pediatric Studies: Does CDC Reference Suffice?

Authors:  Zhiguo Li; Jorma Toppari; Markus Lundgren; Brigitte I Frohnert; Peter Achenbach; Riitta Veijola; Vibha Anand
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21
  1 in total

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