Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival

Statistical Methods in Medical Research

Volumn 26, Issue 1, 2017, Pages 414-436

  Newcombe, P J ^a   Raza Ali, H ^b,c,d   Blows, F M ^c   Provenzano, E ^e   Pharoah, P D ^c,d,f   Caldas, C ^b,c,d   Richardson, S ^a  

^a MRC BIOSTATISTICS UNIT   (United Kingdom)

^b CANCER RESEARCH UK CAMBRIDGE RESEARCH INSTITUTE   (United Kingdom)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d NIHR   (United Kingdom)

^e Cambridge Biomedical Research Centre   (United Kingdom)

^f UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bayesian variable selection; breast cancer; gene expression; MCMC; penalised regression; reversible jump; stability selection; survival analysis

Indexed keywords

CD8 ANTIGEN; EPIDERMAL GROWTH FACTOR RECEPTOR 2; ESTROGEN RECEPTOR; TRANSCRIPTION FACTOR FOXP3; TUMOR MARKER;

ADULT; AGED; ANTIGEN EXPRESSION; ARTICLE; BAYES THEOREM; BREAST CANCER; CANCER GRADING; CANCER INCIDENCE; CANCER MORTALITY; CANCER PROGNOSIS; CANCER SURVIVAL; CLINICAL DECISION MAKING; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MEDIAN SURVIVAL TIME; PATIENT PREFERENCE; PREVALENCE; PROTEIN EXPRESSION; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SENSITIVITY AND SPECIFICITY; SPARSE BAYESIAN WEILBULL REGRESSION ANALYSIS; TUMOR VOLUME; VALIDATION PROCESS; WEIBULL REGRESSION ANALYSIS; ALGORITHM; BREAST TUMOR; METABOLISM; MORTALITY; PROGNOSIS; SURVIVAL ANALYSIS;

ALGORITHMS; BAYES THEOREM; BIOMARKERS, TUMOR; BREAST NEOPLASMS; FEMALE; HUMANS; PROGNOSIS; RECEPTORS, ESTROGEN; REGRESSION ANALYSIS; SURVIVAL ANALYSIS;

EID: 85008687569     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280214548748     Document Type: Article

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