Statistical Validation of Surrogate Endpoints: Another Look at the Prentice Criterion and Other Criteria.

Saraf, Sanatan; Mathew, Thomas; Roy, Anindya

Saraf, Sanatan; Mathew, Thomas; Roy, Anindya.

Affiliation

Saraf S; a Department of Mathematics and Statistics , University of Maryland Baltimore County , Baltimore , Maryland , USA.
Mathew T; a Department of Mathematics and Statistics , University of Maryland Baltimore County , Baltimore , Maryland , USA.
Roy A; a Department of Mathematics and Statistics , University of Maryland Baltimore County , Baltimore , Maryland , USA.

J Biopharm Stat ; 25(6): 1234-46, 2015.

Article in En | MEDLINE | ID: mdl-25372337

Subject(s)

Endpoint Determination/statistics & numerical data; Algorithms; Confidence Intervals; Data Interpretation, Statistical; Humans; Likelihood Functions; Models, Statistical; Reproducibility of Results; Therapeutic Equivalency

Key words

Bioequivalence; Bootstrap calibration; Equivalence hypothesis; Modified signed log-likelihood ratio test statistic; Proportion explained; Relative effect; Signed log-likelihood ratio test statistic.

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Endpoint Determination Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Biopharm Stat Journal subject: FARMACOLOGIA Year: 2015 Type: Article Affiliation country: United States

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