Related references
Note: Only part of the references are listed.A Proportional Hazards Regression Model for the Subdistribution with Covariates-adjusted Censoring Weight for Competing Risks Data
Peng He et al.
SCANDINAVIAN JOURNAL OF STATISTICS (2016)
The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study
Mark J. Rutherford et al.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2015)
mstate: AnRPackage for the Analysis of Competing Risks and Multi-State Models
Liesbeth C. de Wreede et al.
Journal of Statistical Software (2015)
Competing risks analyses: objectives and approaches
Marcel Wolbers et al.
EUROPEAN HEART JOURNAL (2014)
A general framework for parametric survival analysis
Michael J. Crowther et al.
STATISTICS IN MEDICINE (2014)
Constrained parametric model for simultaneous inference of two cumulative incidence functions
Haiwen Shi et al.
BIOMETRICAL JOURNAL (2013)
Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
Sally R. Hinchliffe et al.
BMC MEDICAL RESEARCH METHODOLOGY (2013)
Re: Helene Hartvedt Grytli, Morten Wang Fagerland, Sophie D. Fossa, Kristin Austlid Tasken. Association Between Use of β-Blockers and Prostate Cancer-specific Survival: A Cohort Study of 3561 Prostate Cancer Patients with High-risk or Metastatic Disease. Eur Urol. In press. http://dx.doi.org/10.1016/j.eururo.2013.01.007.
Krishnan Bhaskaran et al.
EUROPEAN UROLOGY (2013)
A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions
Aurelien Latouche et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2013)
Simulating biologically plausible complex survival data
Michael J. Crowther et al.
STATISTICS IN MEDICINE (2013)
Competing risks in epidemiology: possibilities and pitfalls
Per Kragh Andersen et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2012)
Interpretability and importance of functionals in competing risks and multistate models
Per Kragh Andersen et al.
STATISTICS IN MEDICINE (2012)
Absolute risk regression for competing risks: interpretation, link functions, and prediction
Thomas A. Gerds et al.
STATISTICS IN MEDICINE (2012)
Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring
Ronald B. Geskus
BIOMETRICS (2011)
Pseudo-observations in survival analysis
Per Kragh Andersen et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2010)
Estimating the crude probability of death due to cancer and other causes using relative survival models
P. C. Lambert et al.
STATISTICS IN MEDICINE (2010)
Simulating competing risks data in survival analysis
Jan Beyersmann et al.
STATISTICS IN MEDICINE (2009)
Modeling cumulative incidence function for competing risks data
Mei-Jie Zhang et al.
Expert Review of Clinical Pharmacology (2008)
Parametric regression on cumulative incidence function
Jong-Hyeon Jeong et al.
BIOSTATISTICS (2007)
Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function
JP Klein et al.
BIOMETRICS (2005)
Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects
P Royston et al.
STATISTICS IN MEDICINE (2002)
Share Paper
