Ethical and scientific features of cutoff-based designs of clinical trials: a simulation study.
Cutoff-based clinical trial designs are geared towards balancing ethical and scientific concerns when it is deemed unethical or infeasible to randomize all patients to study treatments. In a cutoff-based design with randomization, patients who are the least sick based on a quantitative baseline indicator are assigned the control treatment, patients who are the most sick based on the same indicator are assigned to test treatment, and patients who are moderately sick based on the indicator are randomly assigned. Simulations were conducted to examine statistical efficiency and potential bias for designs with varying amounts of cutoff-based assignment and randomization. All design variations yielded unbiased estimates of a main treatment effect and a linear interaction effect. While randomization tends to lead to greater efficiency (or lower standard errors of treatment effect), the correlation between the binary treatment variable and baseline assignment variable completely determines the efficiency of a design.
Department of Medicine, New England Medical Center, Tufts University School of Medicine, Boston, Massachusetts 02111, USA.
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Trochim
D004992:Ethics, Medical; D006301:Health Services Needs and Demand; D006801:Humans; D007258:Informed Consent; D009010:Monte Carlo Method; D016032:Randomized Controlled Trials as Topic; D012044:Regression Analysis; D015203:Reproducibility of Results; D012107:Research Design; D015983:Selection Bias; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D016037:Single-Blind Method