專題演講 主講人：Prof. Zhezhen Jin ( Department of Biostatistics, Mailman School of Public Health, Columbia University)

• 事件日期: 2024-07-11
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題　目：A Step-Wise Multiple Testing for Linear Regression Models with Application to the Study of Resting Energy Expenditure

主講人：Prof. Zhezhen Jin ( Department of Biostatistics, Mailman School of Public Health, Columbia University )

時　間：113年7月11日(星期四)下午15:30-16:30
　　　　
地　點：綜合一館427室
 

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摘要
 

Motivated by the mechanistic model of the resting energy expenditure, we present a new multiple hypothesis testing approach to evaluate organ/tissue-specific resting metabolic rates. The approach is based on generalized marginal regression estimates for a subset of coefficients along with a stepwise multiple testing procedure with a minimization–maximization of the normalized estimates (maximization over all its components and minimization over all possible choices of the subset). The approach offers a valid way to address challenges in multiple hypothesis testing on regression coefficients in linear regression analysis especially when covariates are highly correlated. Importantly, the approach yields estimates that are conditionally unbiased. In addition, the approach controls a family-wise error rate in the strong sense. The approach was used to analyze a real study on resting energy expenditure in 131 healthy adults, which yielded an interesting and surprising result of age-related decrease in resting metabolic rate of kidneys. Simulation studies were also presented with various strengths of multi-collinearity induced by pre-specified correlation in covariates. 
This is joint work with Junyi Zhang, Zimian Wang and Zhiliang Ying

 

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