Inconsistency between conditional and marginal analyses

Abstract Conditional and marginal analyses are widely used in clinical studies. However, the results of these two methods may occasionally contradict each other. For instance, marginal analysis may show that the treatment group outperforms the control group, while conditional analysis may suggest the opposite. We examine the causes of this inconsistency and provide general sufficient conditions for ensuring consistency.

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Publication Details

Journal
Biometrical Letters
Published
2024-12-01
DOI
https://doi.org/10.2478/bile-2024-0009
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
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article

Inconsistency between conditional and marginal analyses

Changyong Feng, Chang Feng, Hongyue Wang, Honghong Liu
Biometrical Letters
Statistical Methods and Inference
article

Inconsistency between conditional and marginal analyses

Changyong Feng, Chang Feng, Hongyue Wang, Honghong Liu
article en

Abstract

Abstract Conditional and marginal analyses are widely used in clinical studies. However, the results of these two methods may occasionally contradict each other. For instance, marginal analysis may show that the treatment group outperforms the control group, while conditional analysis may suggest the opposite. We examine the causes of this inconsistency and provide general sufficient conditions for ensuring consistency.

Biometrical LettersVol. 61(2)
Jianghan University (CN), University of Rochester (US)
Openalex Percentile: Top 74%
Statistical Methods and Inference
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