1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2022
Multiple imputation for logistic regression models: incorporating an interaction
Matthew J. Smith, Matteo Quartagno, Edmund Njeru Njagi
Background: Multiple imputation is often used to reduce bias and gain efficiency when there is missing data. The most appropriate imputation method depends on the model the analyst…
stat.ME2020★ 1 cited
Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code
Matthew J. Smith, Camille Maringe, Bernard Rachet +4
The purpose of many health studies is to estimate the effect of an exposure on an outcome. It is not always ethical to assign an exposure to individuals in randomised controlled tr…