Measuring Surrogacy in Clinical Research
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry, Genetics and Molecular Biology (miscellaneous),Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s12561-019-09244-4.pdf
Reference83 articles.
1. Alonso A, Geys H, Molenberghs G, Kenward MG, Vangeneugden T (2003) Validation of surrogate markers in multiple randomized clinical trials with repeated measurements. Biometr J 45(8):931–945
2. Alonso A, Molenberghs G, Burzykowski T, Renard D, Geys H, Shkedy Z, Tibaldi F, Abrahantes JC, Buyse M (2004) Prentice’s approach and the meta-analytic paradigm: a reflection on the role of statistics in the evaluation of surrogate endpoints. Biometrics 60(3):724–728
3. Alonso A, Molenberghs G, Geys H, Buyse M, Vangeneugden T (2006) A unifying approach for surrogate marker validation based on prentice’s criteria. Stat Med 25(2):205–221
4. Baker SG (2005) A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpoint. Biostatistics 7(1):58–70
5. Baker SG, Kramer BS (2003) A perfect correlate does not a surrogate make. BMC Med Res Methodol 3(1):605
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