Multiple imputation in Cox regression when there are time-varying effects of covariates

Missing covariates in competing risks analysis

(2016) Jonathan W. Bartlett et al.   BIOSTATISTICS

Nested case–control studies: should one break the matching?

(2015) Ørnulf Borgan et al.   LIFETIME DATA ANALYSIS

Combining fractional polynomial model building with multiple imputation

(2015) Tim P. Morris et al.   STATISTICS IN MEDICINE

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model

(2014) Jonathan W Bartlett et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Impact of the model-building strategy on inference about nonlinear and time-dependent covariate effects in survival analysis

(2014) Willy Wynant et al.   STATISTICS IN MEDICINE

On the stationary distribution of iterative imputations

(2013) J. Liu et al.   BIOMETRIKA

What Is Meant by “Missing at Random”?

(2013) Shaun Seaman et al.   STATISTICAL SCIENCE

Model Selection for Cox Models with Time-Varying Coefficients

(2012) Jun Yan et al.   BIOMETRICS

Comparison of procedures to assess non-linear and time-varying effects in multivariable models for survival data

(2011) Anika Buchholz et al.   BIOMETRICAL JOURNAL

Multiple imputation using chained equations: Issues and guidance for practice

(2010) Ian R. White et al.   STATISTICS IN MEDICINE

Imputing missing covariate values for the Cox model

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

How should variable selection be performed with multiply imputed data?

(2008) Angela M. Wood et al.   STATISTICS IN MEDICINE

Empirical study of the dependence of the results of multivariable flexible survival analyses on model selection strategy

(2008) C. Binquet et al.   STATISTICS IN MEDICINE