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1
Bayesian Adaptive Trial Design for a Newly Validated Surrog..:
Renfro, Lindsay A.
;
Carlin, Bradley P.
;
Sargent, Daniel J.
Biometrics. 68 (2012) 1 - p. 258-267 , 2012
Link:
https://www.jstor.org/stable/41434066
RT Journal T1
Bayesian Adaptive Trial Design for a Newly Validated Surrogate Endpoint
UL https://suche.suub.uni-bremen.de/peid=jstor-41434066&Exemplar=1&LAN=DE A1 Renfro, Lindsay A. A1 Carlin, Bradley P. A1 Sargent, Daniel J. PB Wiley-Blackwell YR 2012 SN 0006-341X SN 1541-0420 K1 Philosophy K1 Applied philosophy K1 Philosophy of science K1 Scientific method K1 Experimentation K1 Health sciences K1 Medical diagnosis K1 Diagnostic methods K1 Bioassay K1 Biological markers K1 Law K1 Judicial system K1 Legal proceedings K1 Trial court proceedings K1 Trials K1 Trial de novo K1 Medical conditions K1 Diseases K1 Neoplasia K1 Cancer K1 Colorectal cancer K1 Mathematics K1 Applied mathematics K1 Statistics K1 Applied statistics K1 Descriptive statistics K1 Measures of variability K1 Sample size K1 Medical sciences K1 Medical research K1 Clinical research K1 Clinical trials K1 Health and wellness K1 Public health K1 Epidemiology K1 Disease free survival K1 Health care industry K1 Health information K1 Biostatistics K1 Biometrics K1 Statistical models K1 Parametric models K1 Physical sciences K1 Earth sciences K1 Geography K1 Geomorphology K1 Topography K1 Fall lines JF Biometrics VO 68 IS 1 SP 258 OP 267 LK http://dx.doi.org/https://www.jstor.org/stable/41434066 DO https://www.jstor.org/stable/41434066 SF ELIB - SuUB Bremen
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