Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

REALCOM-IMPUTESoftware for Multilevel Multiple Imputation with Mixed Response Types

(2015) James R. Carpenter et al.   Journal of Statistical Software

Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research

(2012) Jochen Hardt et al.   BMC Medical Research Methodology

Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods

(2012) Shaun R Seaman et al.   BMC Medical Research Methodology

Data Resource Profile: Cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER)

(2012) S. C. Denaxas et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

MissForest--non-parametric missing value imputation for mixed-type data

(2011) D. J. Stekhoven et al.   BIOINFORMATICS

Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study

(2011) Andrea Marshall et al.   BMC Medical Research Methodology

Imputation of missing values of tumour stage in population-based cancer registration

(2011) Nora Eisemann et al.   BMC Medical Research Methodology

Potential responders to FOLFOX therapy for colorectal cancer by Random Forests analysis

(2011) S Tsuji et al.   BRITISH JOURNAL OF CANCER

Estimating residual variance in random forest regression

(2011) Guillermo Mendez et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Low Lymphocyte Count and Cardiovascular Diseases

(2011) J. Nunez et al.   CURRENT MEDICINAL CHEMISTRY

Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience

(2011) Abhijit Dasgupta et al.   GENETIC EPIDEMIOLOGY

Neutrophils and clinical outcomes in patients with acute coronary syndromes and/or cardiac revascularisation

(2011) Luigina Guasti et al.   THROMBOSIS AND HAEMOSTASIS

Threshold Haemoglobin Levels and the Prognosis of Stable Coronary Disease: Two New Cohorts and a Systematic Review and Meta-Analysis

(2011) Anoop D. Shah et al.   PLOS MEDICINE

Multiple Imputation for Missing Data via Sequential Regression Trees

(2010) L. F. Burgette et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

The Myocardial Ischaemia National Audit Project (MINAP)

(2010) E. Herrett et al.   HEART

Issues in multiple imputation of missing data for large general practice clinical databases

(2010) Louise Marston et al.   PHARMACOEPIDEMIOLOGY AND DRUG SAFETY

Validation and validity of diagnoses in the General Practice Research Database: a systematic review

(2009) Emily Herrett et al.   BRITISH JOURNAL OF CLINICAL PHARMACOLOGY

Imputing missing covariate values for the Cox model

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

Random survival forests

(2008) Hemant Ishwaran et al.   Annals of Applied Statistics