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Misestimation as a consequence of small sample sizes, small effect sizes, and noisy measurement may be particularly problematic in biomarker studies, the cost of which can adversely affect design decisions. This simulation study used real study designs reported in a meta-analysis of psychosocial correlates of the cortisol awakening response to investigate the probability that the results of these designs would yield misestimates in a cross-sectional study. For each of the 212 designs, 100,000 simulated data sets were produced and the p
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