Generalized inferences on the overall treatment effect in meta-analysis with normally distributed outcomes.
This paper focuses on inferences about the overall treatment effect in meta-analysis with normally distributed responses based on the concepts of generalized inference. A refined generalized pivotal quantity based on t distribution is presented and simulation study shows that it can provide confidence intervals with satisfactory coverage probabilities and perform hypothesis testing with satisfactory type-I error control at very small sample sizes.
Tian
Lili
L
Department of Biostatistics, University at Buffalo, School of Public Health and Health Professions, 249 Farber Hall 3435 Main St. Bldg. 26, Buffalo, NY 14214-3000, USA. ltian@buffalo.edu
D017311:Amlodipine / Q000494:pharmacology; D003198:Computer Simulation; D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D015444:Exercise / Q000502:physiology; D006801:Humans; D015201:Meta-Analysis as Topic; D014665:Vasodilator Agents / Q000494:pharmacology
D014665:Vasodilator Agents; D017311:Amlodipine