التفاصيل البيبلوغرافية
| العنوان: |
Inference for Surrogate Endpoint Validation in the Binary Case. |
| المؤلفون: |
Bebu, Ionut1 (AUTHOR) ibebu@bsc.gwu.edu, Mathew, Thomas2 (AUTHOR), Agan, Brian3 (AUTHOR) |
| المصدر: |
Journal of Biopharmaceutical Statistics. 2015, Vol. 25 Issue 6, p1272-1284. 13p. 5 Charts. |
| مصطلحات موضوعية: |
*STATISTICAL sampling, CONFIDENCE intervals, BINARY number system, LOGISTIC regression analysis, SURROGATE-based optimization |
| مستخلص: |
Surrogate endpoint validation for a binary surrogate endpoint and a binary true endpoint is investigated using the criteria of proportion explained (PE) and the relative effect (RE). The concepts of generalized confidence intervals and fiducial intervals are used for computing confidence intervals for PE and RE. The numerical results indicate that the proposed confidence intervals are satisfactory in terms of coverage probability, whereas the intervals based on Fieller’s theorem and the delta method fall short in this regard. Our methodology can also be applied to interval estimation problems in a causal inference-based approach to surrogate endpoint validation. [ABSTRACT FROM PUBLISHER] |
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| قاعدة البيانات: |
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