Prostate cancer: net survival and cause-specific survival rates after multiple imputation

Multiple Imputation with Diagnostics (mi) inR: Opening Windows into the Black Box

(2015) Yu-Sung Su et al.   Journal of Statistical Software

Projection de l’incidence et de la mortalité par cancer urologique en France en 2012

(2014) X. Rébillard et al.   PROGRES EN UROLOGIE

Estimating net survival in population-based cancer studies

(2013) Paul W. Dickman et al.   INTERNATIONAL JOURNAL OF CANCER

Regression modeling of the cumulative incidence function with missing causes of failure using pseudo-values

(2013) Margarita Moreno-Betancur et al.   STATISTICS IN MEDICINE

Cancer net survival on registry data: Use of the new unbiased Pohar-Perme estimator and magnitude of the bias with the classical methods

(2012) Laurent Roche et al.   INTERNATIONAL JOURNAL OF CANCER

Blinded and uniform causes of death verification in cancer screening: A major influence on the outcome of a prostate cancer screening trial?

(2010) S.J. Otto et al.   EUROPEAN JOURNAL OF CANCER

Modelling competing risks data with missing cause of failure

(2010) Giorgos Bakoyannis et al.   STATISTICS IN MEDICINE

A Bayesian approach to competing risks analysis with masked cause of death

(2010) Ananda Sen et al.   STATISTICS IN MEDICINE

Imputing missing covariate values for the Cox model

(2009) Ian R. White et al.   STATISTICS IN MEDICINE