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Strategies To Adjust For Response Bias In Clinical Trials: A Simulation Study, Victoria R. Swaidan
Strategies To Adjust For Response Bias In Clinical Trials: A Simulation Study, Victoria R. Swaidan
USF Tampa Graduate Theses and Dissertations
Background: Response bias can distort treatment effect estimates and inferences in clinical trials. Although prevention, quantification, and adjustments have been developed, current methods are not applicable when subject-level reliability is used as the measure of response bias. Thus, the objective of the current study is to develop, test, and recommend a series of bias correction strategies for use in these cases. Methods: Monte Carlo simulation and logistic regression modeling were used to develop the strategies, examining the collective impact of sample size (N), effect size (ES), reliability distribution, and response style on estimating the treatment effect size in a series …