Missing covariates in competing risks analysis

• Predictive averaging and Rubin’s rule-based model pooling to predict survival risk with imputations in the presence of missing patient data: methodology and verification using two case studies and simulations

  2026 BMC Medical Research Methodology article Mathematics Statistical Methods and Bayesian Inference Open access

  1

  citations
• Multiple Imputation of Missing Covariates When Using the Fine–Gray Model

  2025 Statistics in Medicine article Mathematics Statistical Methods and Bayesian Inference Open access

  3

  citations
• High-dimensional, outcome-dependent missing data problems: Models for the human KIR loci

  2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access

  0

  citations
• Handling missing covariate data in clinical studies in haematology

  2023 Best Practice & Research Clinical Haematology article Mathematics Statistical Methods and Bayesian Inference Open access

  13

  citations
• Multiple imputation for cause-specific Cox models: Assessing methods for estimation and prediction

  2022 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access

  17

  citations
• Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study

  2021 The Lancet Healthy Longevity article Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies Open access

  30

  citations

6 results