Generalized Likelihood Ratio Statistics and Uncertainty Adjustments in\n Efficient Adaptive Design of Clinical Trials

2011/05/23 by Jay Bartroff, Tze Leung Lai, Bartroff, Jay +1 · 1 citation
Decision Sciences · Immunology and Microbiology · Mathematics · #62F03 #62L10 #62P10 #Biosimilars and Bioanalytical Methods #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Optimal Experimental Design Methods #Statistical Methods in Clinical Trials #Statistics Theory (math.ST)

paper · pdf · doi:10.48550/arxiv.1105.4667

openalex publication_date 2011/05/23 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28

Abstract

A new approach to adaptive design of clinical trials is proposed in a general\nmultiparameter exponential family setting, based on generalized likelihood\nratio statistics and optimal sequential testing theory. These designs are easy\nto implement, maintain the prescribed Type I error probability, and are\nasymptotically efficient. Practical issues involved in clinical trials allowing\nmid-course adaptation and the large literature on this subject are discussed,\nand comparisons between the proposed and existing designs are presented in\nextensive simulation studies of their finite-sample performance, measured in\nterms of the expected sample size and power functions.\n

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