Importance Although clinical trials demonstrate the superior effectiveness of medication for
opioid use disorder (MOUD) compared with nonpharmacologic treatment, national data on …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

Multiple imputation (MI) is now well established as a flexible, general, method for the
analysis of data sets with missing values. Most implementations assume the missing data …

Simulation studies are conducted to assess the performance of current and novel statistical
models in pre‐defined scenarios. It is often desirable that chosen simulation scenarios …

Methods for estimating heterogeneous treatment effect in observational data have largely
focused on continuous or binary outcomes, and have been relatively less vetted with …

Background The incidence of acute kidney injury (AKI) has been increasing over time and is
associated with a high risk of short-term death. Previous studies on hospital-acquired AKI …

The Cox proportional hazards model is frequently used in medical statistics. The standard
methods for fitting this model rely on the assumption of independent censoring. Although this …

Rationale: Although chronic obstructive pulmonary disease is the first indication for lung
transplantation, the benefit of the procedure in terms of survival remains debated …

Background: A number of studies have linked neuropsychiatric symptoms to increase risk of
dementia. Objective: To determine if risk of conversion to mild cognitive impairment or …

In clinical studies, when censoring is caused by competing risks or patient withdrawal, there
is always a concern about the validity of treatment effect estimates that are obtained under …