Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 2: Results from simulations with normally and uniformly distributed sample sizes

Elena Kulinskaya; David C. Hoaglin; Ilyas Bakbergenuly

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arXiv · 2007.05354

Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 2: Results from simulations with normally and uniformly distributed sample sizes

Elena Kulinskaya·David C. Hoaglin·Ilyas Bakbergenuly

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Abstract

This report continues our investigation of effects a simulation design may have on the conclusions on performance of statistical methods. In the context of meta-analysis of log-odds-ratios, we consider five generation mechanisms for control probabilities and log-odds-ratios. Our first report (Kulinskaya et al. 2020) considered constant sample sizes. Here we report on the results for normally and uniformly distributed sample sizes.

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Elena Kulinskaya, David C. Hoaglin, Ilyas Bakbergenuly. 2020-07-07. Exploring Consequences of Simulation Design for Apparent Performance of Statistical Methods. 2: Results from simulations with normally and uniformly distributed sample sizes. https://arxiv.org/abs/2007.05354

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