Area of research
Statistics and Probability · Psychiatry and Mental health
Research interest
Research interests include Missing data, Imputation (statistics), Computer science, Medicine, Statistics, and Covariate.
The Estimand Framework and Causal Inference: Complementary Not Competing Paradigms
Estimating hypothetical estimands with causal inference and missing data estimators in a diabetes trial case study
G-formula with multiple imputation for causal inference with incomplete data
Multiple Imputation of Missing Covariates When Using the Fine–Gray Model
Infection and telomere length: A systematic review
Estimands and Causal Inference
Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data
Infection and telomere length: a systematic review protocol
Weighted Hazard Ratio Estimation for Delayed and Diminishing Treatment Effect
Rejoinder to the letter: “Standard and reference‐based conditional mean imputation: Regulators and trial statisticians be aware!”
Software tools for quantitative bias analysis on measurement error or misclassification (Web of Science Core Collection and four other databases hosted on the same platform).
Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods?
They built this city—construction workers injured in Delhi, India: cross-sectional analysis of First Information Reports of the Delhi Police 2016–2018
Complete case logistic regression with a dichotomised continuous outcome led to biased estimates
Multiple imputation of partially observed covariates in discrete-time survival analysis
Measurement Error as a Missing Data Problem
Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice
Defining Efficacy Estimands in Clinical Trials: Examples Illustrating ICH E9(R1) Guidelines
Disease Course Varies According to Age and Symptom Length in Alzheimer’s Disease
Multiple Imputation of Missing Data in Nested Case-Control and Case-Cohort Studies
Growth of HIV-exposed uninfected, compared with HIV-unexposed, Zambian children: a longitudinal analysis from infancy to school age
Missing binary outcomes under covariate‐dependent missingness in cluster randomised trials
Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration
Missing continuous outcomes under covariate dependent missingness in cluster randomised trials
Asymptotically Unbiased Estimation of Exposure Odds Ratios in Complete Records Logistic Regression
Multiple Imputation of Covariates by Substantive-model Compatible Fully Conditional Specification
Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model
CSF neurofilament light differs in neurodegenerative diseases and predicts severity and survival
Improving upon the efficiency of complete case analysis when covariates are MNAR
Application of Multiple Imputation using the Two-Fold Fully Conditional Specification Algorithm in Longitudinal Clinical Data