Evidence map›Paper›PMID 41311091›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2025

[Impact of incorrect designation of working correlation structure matrix on sample size estimation in 2×2 cross design: a simulation study].

Peiyu Zhang, Ziheng Xie, Yan Zhuang

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Peiyu ZhangDepartment of Biostatistics, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Ziheng XieDepartment of Biostatistics, School of Public Health, Southern Medical University, Guangzhou 510515, China.
Yan ZhuangDepartment of Biostatistics, School of Public Health, Southern Medical University, Guangzhou 510515, China.

Funding

National Natural Science Foundation of China 81773544
6 · The paper itself

Abstract

objectivesTo investigate the impact of incorrect specification of the working correlation structure matrix on estimated sample size in a 2×2 crossover design based on the generalized estimating equation (GEE).

methodsBased on Monte Carlo simulation, the influence of incorrect specification of the work-related structure matrix on the sample size estimation under different conditions was evaluated after controlling the total sample size

resultsWhen the correctly specified working correlation structure matrix is independent, the sample size estimation effect of correctly specifying the working correlation structure matrix is better than that of incorrect specification. But when the correctly specified working correlation structure matrix is equal and the correlation coefficient is closer to 0, with other factors being smaller (

conclusionsUnder most conditions, incorrectly specifying the working correlation structure matrix can cause the estimated sample size to deviate significantly from the theoretical value, but under certain conditions, the impact of incorrectly specifying the working correlation structure matrix can be small on the estimated sample size.

Indexed as

Research DesignBiasComputer SimulationCross-Over StudiesHumansMonte Carlo MethodSample Size2×2 crossover trialsgeneralized estimation equation designsample size estimationworking correlation structure matrix

Identifiers

PMID41311091
PMCPMC12676686

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.