Testing for differences in changes in the presence of censoring: parametric and non-parametric methods.

doi:10.1002/sim.4780130524

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Article

Testing for differences in changes in the presence of censoring: parametric and non-parametric methods.

Statistics in medicine - 1 Jan 2000

Wu M C, Hunsberger S, Zucker D

Abstract excerpt

Some commonly used parametric and non-parametric methods for analysing repeated measures with incomplete observations are briefly reviewed. The performances of these methods in the presence of completely random, as well as informative censoring are compared in simulated experiments generated unde...

Topics

Bias
Clinical Trials as Topic
Forced Expiratory Volume
Humans
Linear Models
Models, Statistical
Phenotype
Pulmonary Emphysema
Survival Rate
alpha 1-Antitrypsin Deficiency

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