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Volumn 6, Issue 1, 2010, Pages

Collaborative targeted maximum likelihood for time to event data

Author keywords

causal effect; causal inference; censored data; collaborative double robust; Cox proportional hazards; cross validation; double robust; efficient influence curve; estimating function; G computation; influence curve; locally efficient; loss function; maximum likelihood estimation; super efficiency; super learning; survival analysis; targeted maximum likelihood estimation; targeted nuisance parameter estimator selection

Indexed keywords

BOOTSTRAPPING; COLLABORATIVE TARGETED MAXIMUM LIKELIHOOD ESTIMATION; CONFIDENCE INTERVAL; DATA ANALYSIS; MAXIMUM LIKELIHOOD METHOD; OBSERVATIONAL STUDY; REVIEW; SIMULATION; SURVIVAL RATE; ARTICLE; BIOSTATISTICS; COMPARATIVE STUDY; EPIDEMIOLOGY; FEMALE; HUMAN; MALE; METHODOLOGY; PROBABILITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME;

EID: 77954380272     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1249     Document Type: Review
Times cited : (46)

References (15)
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  • 8
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    • A new approach to causal inference in mortality studies with sustained exposure periods - Application to control of the healthy worker survivor effect
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    • Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilonnet estimator: Finite sample oracle inequalities and examples
    • University of California, Berkeley
    • van der Laan, M. and S. Dudoit (2003): "Unified cross-validation methodology for selection among estimators and a general cross-validated adaptive epsilonnet estimator: Finite sample oracle inequalities and examples," Technical report, Division of Biostatistics, University of California, Berkeley.
    • (2003) Technical Report, Division of Biostatistics
    • Van Der Laan, M.1    Dudoit, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.