JOURNAL ARTICLE

Proper inference from Simon's two‐stage designs

Tatsuki KoyamaHeidi Chen

Year: 2007 Journal:   Statistics in Medicine Vol: 27 (16)Pages: 3145-3154   Publisher: Wiley

Abstract

Abstract Simon's two‐stage designs are very popular for phase II clinical trials. A literature review revealed that the inference procedures used with Simon's designs almost always ignore the actual sampling plan used. Reported P ‐values, point estimates and confidence intervals for the response rate are not usually adjusted for the design's adaptiveness. In addition, we found that the actual sample size for the second stage is often different from that planned. We present here a method for inferences using both the planned and the actual sample sizes. The conventional and the preferred inference procedures usually yield similar P ‐values and confidence intervals for the response rate. The conventional inference, however, may contradict the result of the corresponding hypothesis testing. Copyright © 2007 John Wiley & Sons, Ltd.

Keywords:
Inference Computer science Stage (stratigraphy) Econometrics Statistics Artificial intelligence Mathematics Biology

Metrics

126
Cited By
1.83
FWCI (Field Weighted Citation Impact)
32
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Methods in Clinical Trials
Physical Sciences →  Mathematics →  Statistics and Probability
Optimal Experimental Design Methods
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Gene expression and cancer classification
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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