Plenary Session:
Guide for the Perplexed: Toward Healthier Analyses (2109)

Friday, Aug. 7, 10:00–10:50 a.m., Room 717A

From the 1980s onward, Monte Carlo simulations have increased our understanding of how traditional statistical methods behave under real data conditions and have provided alternative approaches with superior operating characteristics. During this session, improved methods for estimation (e.g., bracketed intervals for point estimates and robust measures of central tendency and variability) and inference (e.g., nonparametric rank, permutation, randomization, and approximate randomization) will be presented, with a strong orientation toward application. Implications for Type I error rates, optimal power, and data preparation and cleaning will also be presented.

Participant: Shlomo S. Sawilowsky, PhD, Wayne State University

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