Maozai Tian, Wei Xiong, Shaopei Ma, and Jinwen Liang's Contribution to the Discussion of ‘Regression by Composition’ by Farewell et al

Maozai Tian; Xiong Wei; Shaopei Ma; Jinwen Liang

doi:10.1093/jrsssb/qkag092

June 15, 2026Journal of the Royal Statistical Society Series B (Statistical Methodology)

Maozai Tian, Wei Xiong, Shaopei Ma, and Jinwen Liang's Contribution to the Discussion of ‘Regression by Composition’ by Farewell et al

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Key Points

The aim is to explore and clarify the concept of regression by composition as discussed in prior analyses.
Contribution to existing literature on regression by composition.
Discussion includes theoretical frameworks and applications.
Provides insights into the implications of regression by composition for statistical analysis.

Implication

This contribution analyzes regression by composition, highlighting its impacts on statistical methods.

Abstract

Maozai Tian, Wei Xiong, Shaopei Ma, Jinwen Liang; Maozai Tian, Wei Xiong, Shaopei Ma, and Jinwen Liang's Contribution to the Discussion of ‘Regression by C

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Cite This Study

Tian et al. (2026) studied this question.

synapsesocial.com/papers/6a323dd7d50b63ecad207479 https://doi.org/10.1093/jrsssb/qkag092

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Maozai Tian, Wei Xiong, Shaopei Ma, and Jinwen Liang's Contribution to the Discussion of ‘Regression by Composition’ by Farewell et al

Key Points

Implication

Abstract

Discussion

Cite This Study

Maozai Tian, Wei Xiong, Shaopei Ma, and Jinwen Liang's Contribution to the Discussion of ‘Regression by Composition’ by Farewell et al

Key Points

Implication

Abstract

Discussion

Cite This Study

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