Pseudo-observations for competing risks with covariate dependent censoring
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Aalen O (1978) Nonparametric estimation of partial transition probabilities in multiple decrement models. Ann Stat 6(3):534–545
Andersen PK, Borgan Ø, Gill RD, Keiding N (1993) Statistical models based on counting processes. Springer, New York
Andersen PK, Klein JP, Rosthøj S (2003) Generalised linear models for correlated pseudo-observations, with applications to multi-state models. Biometrika 90(1):15–27
Andersen PK, Pohar Perme M (2010) Pseudo-observations in survival analysis. Stat Methods Med Res 19(1):71–99
Begun JM, Hall WJ, Huang W-M, Wellner JA (1983) Information and asymptotic efficiency in parametric–nonparametric models. Ann Stat 11(2):432–452
Fine JP, Gray RJ (1999) A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 94(446):496–509
Gerds TA, Scheike TH, Andersen PK (2012) Absolute risk regression for competing risks: interpretation, link functions, and prediction. Stat Med 31(29):3921–3930
Gill RD (1980) Censoring and stochastic integrals. PhD thesis, Math. Centre Tracts 124. Mathematical Centre, Amsterdam
Graw F, Gerds TA, Schumacher M (2009) On pseudo-values for regression analysis in competing risks models. Lifetime Data Anal 15(2):241–255
Kalbfleisch JD, Prentice RL (2002) The statistical analysis of failure time data, 2nd edn. Wiley, New York
Klein JP, Andersen PK (2005) Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics 61(1):223–229
Scheike TH, Zhang MJ, Gerds TA (2008) Predicting cumulative incidence probability by direct binomial regression. Biometrika 95:205–220