Bayesian case influence diagnostics for survival models

Biometrics

Volumn 65, Issue 1, 2009, Pages 116-124

  Cho, Hyunsoon ^a   Ibrahim, Joseph G ^a   Sinha, Debajyoti ^b   Zhu, Hongtu ^a  

^a IL   (United States)

^b FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Bayesian diagnostic measure; Cox model; Influential observation; Kullback Leibler divergence; Marginal influence; Partial likelihood

Indexed keywords

BIOMETRICS;

BAYESIAN; BAYESIAN DIAGNOSTIC MEASURE; COX MODEL; DATA EXAMPLES; DIAGNOSTIC MEASURES; INFLUENTIAL OBSERVATIONS; KULLBACK LEIBLER DIVERGENCE; MARGINAL INFLUENCE; PARTIAL LIKELIHOODS; SURVIVAL MODEL;

MARKOV PROCESSES;

BAYESIAN ANALYSIS; DATA INTERPRETATION; MARKOV CHAIN; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; NUMERICAL MODEL; SURVIVAL;

ARTICLE; BAYES THEOREM; DATA ANALYSIS; DIAGNOSTIC PROCEDURE; MONTE CARLO METHOD; PROBABILITY; PROPORTIONAL HAZARDS MODEL; SIMULATION; STATISTICAL MODEL; SURVIVAL;

EID: 62749083908     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01037.x     Document Type: Article

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