New defective models based on the Kumaraswamy family of distributions with application to cancer data sets

Statistical Methods in Medical Research

Volumn 26, Issue 4, 2017, Pages 1737-1755

  Rocha, Ricardo ^a   Nadarajah, Saralees ^b   Tomazella, Vera ^a   Louzada, Francisco ^c   Eudes, Amanda ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Cure fraction; defective distributions; Gompertz distribution; inverse Gaussian distribution; Kumaraswamy family; survival analysis

Indexed keywords

CANCER EPIDEMIOLOGY; FAMILY STUDY; MAXIMUM LIKELIHOOD METHOD; SURVIVAL ANALYSIS; TUMOR MODEL; COLON TUMOR; HUMAN; INFORMATION PROCESSING; KAPLAN MEIER METHOD; LEUKEMIA; MELANOMA; MORTALITY; NEOPLASM; NORMAL DISTRIBUTION; STATISTICAL MODEL;

COLONIC NEOPLASMS; DATASETS AS TOPIC; HUMANS; KAPLAN-MEIER ESTIMATE; LEUKEMIA; LIKELIHOOD FUNCTIONS; MELANOMA; NEOPLASMS; NORMAL DISTRIBUTION;

EID: 85027712969     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280215587976     Document Type: Article

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