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Volumn 7, Issue 6, 2010, Pages 643-652

Sample size calculations for evaluating treatment policies in multi-stage designs

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CLUSTER ANALYSIS; COVARIANCE; EVALUATION; MATHEMATICAL COMPUTING; METHODOLOGY; POLICY; PRIORITY JOURNAL; REGRESSION ANALYSIS; SAMPLE SIZE; SEQUENTIAL MULTIPLE ASSIGNMENT RANDOMIZED DESIGN; SIMULATION;

EID: 78650346527     PISSN: 17407745     EISSN: 17407753     Source Type: Journal    
DOI: 10.1177/1740774510376418     Document Type: Article
Times cited : (18)

References (16)
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  • 2
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    • An experimental design for the development of adaptive treatment strategies
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    • Dynamic treatment regimes: Practical design considerations
    • Lavori PW, Dawson R. Dynamic treatment regimes: practical design considerations. Clin Trials 2004 ; 1: 9-20.
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  • 6
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    • Sequential causal inference: Application to randomized trials of adaptive treatment strategies
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  • 8
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    • Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials
    • Lunceford JK, Davidian M., Tsiatis AA Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials. Biometrics 2002 ; 58: 48-57.
    • (2002) Biometrics , vol.58 , pp. 48-57
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  • 9
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    • Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules
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  • 10
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  • 12
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    • Optimal estimator for the survival distribution and related quantities for treatment policies in two-stage randomization designs in clinical trials
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.