Case-only Approach in Randomized Clinical Trials -Evaluation of Power to Detect a Treatment Effect Predictive Marker-
Author:
Affiliation:
1. Clinical Biostatistics Course, Kyoto University School of Public Health
2. Department of Data Science, National Cerebral and Cardiovascular Center
3. Department of Clinical Biostatistics, Graduate School of Medicine, Kyoto University
Publisher
The Biometric Society of Japan
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjb/41/2/41_137/_pdf
Reference14 articles.
1. Albert, P. S., Ratnasinghe, D., Tangrea, J., and Wacholder, S. (2001). Limitations of the case-only design for identifying gene-environment interactions. American Journal of Epidemiology 154, 687-693.
2. Amado, R. G., Wolf, M., Peeters, M., Van Cutsem, E., Siena, S., Freeman, D. J., et al. (2008). Wild-type KRAS is required for panitumumab efficacy in patients with metastatic colorectal cancer. Journal of Clinical Oncology 26, 1626-1634.
3. Dai, J. Y., Kooperberg, C., LeBlanc, M., and Prentice, R. L. (2012). Two-stage testing procedures with independent filtering for genome-wide gene-environment interaction. Biometrika 99, 929-944.
4. Dai, J. Y., Zhang, X. C., Wang, C. Y., and Kooperberg, C. (2016). Augmented case-only designs for randomized clinical trials with failure time endpoints. Biometrics 72, 30-38.
5. Dai, J. Y., Liang, J., LeBLanc, M., Prentice, R. L., Janes, H. (2018). Case-only approach to identifying markers predicting treatment effects on the relative risk scale. Biometrics 74, 753-763.
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