On assessing surrogacy in a single trial setting using a semicompeting risks paradigm

Biometrics

Volumn 65, Issue 2, 2009, Pages 521-529

  Ghosh, Debashis ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Bivariate survival data; Copula model; Dependent censoring; Multivariate failure time data; Prentice criterion

Indexed keywords

BIOMETRICS; RISK ASSESSMENT;

BIVARIATE; BIVARIATE SURVIVAL DATA; CLINICAL TRIAL; COPULA MODELS; DEPENDENT CENSORING; FAILURE TIME DATA; MULTIVARIATE FAILURE TIME DATA; PRENTICE CRITERIA; SINGLE TRIAL; SURVIVAL DATA;

MEDICAL APPLICATIONS;

CYTARABINE; DAUNORUBICIN; IDARUBICIN;

ASSESSMENT METHOD; BIOMARKER; IDENTIFICATION METHOD; MODELING; MULTIVARIATE ANALYSIS; RISK ASSESSMENT; SURVIVAL;

ACUTE GRANULOCYTIC LEUKEMIA; ARTICLE; CLINICAL RESEARCH; CLINICAL STUDY; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; LEUKEMIA CELL; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; RISK ASSESSMENT; SIMULATION;

EID: 66949179748     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01109.x     Document Type: Article

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