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Bayesian Adaptive Trial Design for a Newly Validated Surrogate Endpoint
Renfro, Lindsay A.
;
Carlin, Bradley P.
;
Sargent, Daniel J.
- In:
Biometrics
68
(
2012
)
1
,
pp. 258-267
Persistent link: https://www.econbiz.de/10010683875
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2
Evaluating marker-guided treatment selection strategies
Matsouaka, Roland A.
;
Li, Junlong
;
Cai, Tianxi
- In:
Biometrics
70
(
2014
)
3
,
pp. 489-499
Persistent link: https://www.econbiz.de/10010946511
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3
Hierarchical Commensurate and Power Prior Models for Adaptive Incorporation of Historical Information in Clinical Trials
Hobbs, Brian P.
;
Carlin, Bradley P.
;
Mandrekar, Sumithra J.
- In:
Biometrics
67
(
2011
)
3
,
pp. 1047-1056
Persistent link: https://www.econbiz.de/10010947394
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4
Bayesian Variable Selection with Joint Modeling of Categorical and Survival Outcomes: An Application to Individualizing Chemotherapy Treatment in Advanced Colorectal Cancer
Chen, Wei
;
Ghosh, Debashis
;
Raghunathan, Trivellore E.
; …
- In:
Biometrics
65
(
2009
)
4
,
pp. 1030-1040
Persistent link: https://www.econbiz.de/10010948101
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5
Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time
Baker, Stuart G.
;
Sargent, Daniel J.
;
Buyse, Marc
; …
- In:
Biometrics
68
(
2012
)
1
,
pp. 248-257
Persistent link: https://www.econbiz.de/10010683907
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6
Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling
Ghosh, Debashis
;
Taylor, Jeremy M. G.
;
Sargent, Daniel J.
- In:
Biometrics
68
(
2012
)
1
,
pp. 226-232
Persistent link: https://www.econbiz.de/10010683919
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7
Rejoinder for “Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling”
Ghosh, Debashis
;
Taylor, Jeremy M. G.
;
Sargent, Daniel J.
- In:
Biometrics
68
(
2012
)
1
,
pp. 245-247
Persistent link: https://www.econbiz.de/10011036076
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