Confidence intervals and statistical power of the ‘Validation’ ratio for surrogate or intermediate endpoints
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[1] V De Gruttola,et al. Estimating the proportion of treatment effect explained by a surrogate marker. , 1997, Statistics in medicine.
[2] T. Fleming,et al. Perspective: validating surrogate markers--are we being naive? , 1997, The Journal of infectious diseases.
[3] S. Dawsey,et al. Surrogate end points in cancer research: a critique. , 1996, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.
[4] D. DeMets,et al. Surrogate End Points in Clinical Trials: Are We Being Misled? , 1996, Annals of Internal Medicine.
[5] Randy R. Sitter,et al. On the Accuracy of Fieller Intervals for Binary Response Data , 1993 .
[6] L S Freedman,et al. Sample size for studying intermediate endpoints within intervention trails or observational studies. , 1992, American journal of epidemiology.
[7] R. Prentice. Surrogate endpoints in clinical trials: definition and operational criteria. , 1989, Statistics in medicine.
[8] D. A. Williams,et al. Interval estimation of the median lethal dose. , 1986, Biometrics.
[9] Nathaniel Schenker,et al. Qualms about Bootstrap Confidence Intervals , 1985 .
[10] J. Mullahy,et al. Valuing health care: Statistical issues in cost–effectiveness analyses , 1995 .
[11] F. Sloan. Valuing health care : costs, benefits, and effectiveness of pharmaceuticals and other medical technologies , 1995 .
[12] B. Graubard,et al. Statistical validation of intermediate endpoints for chronic diseases. , 1992, Statistics in medicine.
[13] C. Cox. Fieller's theorem, the likelihood and the delta method , 1990 .
[14] E. C. Fieller. The Biological Standardization of Insulin , 1940 .