每周论坛之五（总第169期）：柯紫筠（太阳集团官网），2018年4月2日下午

报告人介绍：

讲座介绍：

每周论坛之五（总第169期）

报告人：柯紫筠博士

报告人单位：太阳成集团tyc151cc

题目：Reliability Matters in Meta-Analysis: A Better Approach to Correcting for Unreliability

时间：2017年 4 月 2  日 （周一，14:20-16:00）

地点：太阳集团官网东校园太阳成集团tyc151cc（南学院楼C座）305

报告简介

As a powerful tool for synthesizing information from multiple studies, meta-analysis has enjoyed high popularity in many disciplines. Conclusions stemming from meta-analyses are often used to direct theory development, calibrate sample size planning, and guide decision making or policy making. However, meta-analyses can be conflicted, misleading, and irreproducible. One of the reasons for meta-analyses to be misleading is the improper handling of unreliability. We showed via a simulation study that current meta-analysis procedures with or without corrections for unreliability frequently detected nonexistent effects, and provided severely biased estimates and interval estimates with coverage rates far below the intended level. A better approach to correcting for unreliability was proposed and evaluated via a simulation study.

报告人简介

柯紫筠，女，太阳成集团tyc151cc讲师。研究兴趣为元分析、结构方程模型元分析、增长曲线模型分析、时间序列分析、稳健分析等。