Robust estimation of the effect of an exposure on the change in a continuous outcome

Robust estimation of the effect of an exposure on the change in a continuous outcome

Abstract Background The change in two measurements of a continuous outcome can be modelled directly with a linear regression model, or indirectly with a random effects model (REM) of the individual measurements. These methods are susceptible to model misspecifications, which are commonly addressed b...

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Bibliographic Details
Main Authors: Yilin Ning, Nathalie C. Støer, Peh Joo Ho, Shih Ling Kao, Kee Yuan Ngiam, Eric Yin Hao Khoo, Soo Chin Lee, E-Shyong Tai, Mikael Hartman, Marie Reilly, Chuen Seng Tan
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Research Methodology
Subjects:
Box-Cox transformation
Conditional probit model
Normal errors
Random effects model
Online Access:http://link.springer.com/article/10.1186/s12874-020-01027-6

Internet

http://link.springer.com/article/10.1186/s12874-020-01027-6

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