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Biometrics, 2005
SummaryTypically, regression models for competing risks outcomes are based on proportional hazards models for the crude hazard rates. These estimates often do not agree with impressions drawn from plots of cumulative incidence functions for each level of a risk factor. We present a technique which models the cumulative incidence functions directly. The
Klein, John P., Andersen, Per Kragh
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SummaryTypically, regression models for competing risks outcomes are based on proportional hazards models for the crude hazard rates. These estimates often do not agree with impressions drawn from plots of cumulative incidence functions for each level of a risk factor. We present a technique which models the cumulative incidence functions directly. The
Klein, John P., Andersen, Per Kragh
openaire +3 more sources
Estimating and modelling cumulative incidence functions using time-dependent weights [PDF]
, 2013 Competing risks occur in survival analysis when a subject is at risk of more than one type of event. A classic example is when there is consideration of different causes of death. Interest may lie in the cause-specific hazard rates, which can be estimated using standard survival techniques by censoring competing events.
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The global incidence of lip, oral cavity, and pharyngeal cancers by subsite in 2012
Ca-A Cancer Journal for Clinicians, 2017Ahmedin Jemal +2 more
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Cancers with increasing incidence trends in the United States: 1999 through 2008
Ca-A Cancer Journal for Clinicians, 2012Edgar P Simard +2 more
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Breast cancer statistics, 2015: Convergence of incidence rates between black and white women
Ca-A Cancer Journal for Clinicians, 2016Carol E Desantis +2 more
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Distribution-Free Tests for Two Crossing Cumulative Incidence Functions
1998Ram C. Tiwari, Jyoti N. Zalkikar
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