activity
20172025
most citedHow to apply multiple imputation in propensity score matching with partially observed confounders: a simulation study and practical recommendations

31 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

Clustering-based accelerometer measures to model relationships between physical activity and key outcomes

Hyatt Moore, Thomas N. Robinson, Alexandria Jensen +4

Accelerometers produce enormous amounts of data. Research that incorporates such data often involves a derived summary metric to describe physical activity. Traditional metrics hav…

stat.AP2022★ 3 cited

Application of Multiple Imputation When Using Propensity Score Methods to Generalize Clinical Trials to Target Populations of Interest

Albee Y. Ling, Maria E. Montez-Rath, Kris Kapphahn +1

When the distribution of treatment effect modifiers differs between the trial sample and target population, inverse probability weighting (IPSW) can be applied to achieve an unbias…

stat.AP2022★ 2 cited

A Critical Review of Methods for Real-World Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest

Albee Y. Ling, Maria E. Montez-Rath, Paulo Carita +6

Generalizability and transportability methods have been proposed to address the external validity bias of randomized clinical trials that results from differences in the distributi…

stat.AP2019★ 31 cited

How to apply multiple imputation in propensity score matching with partially observed confounders: a simulation study and practical recommendations

Albee Y. Ling, Maria E. Montez-Rath, Maya B. Mathur +2

Propensity score matching (PSM) has been widely used to mitigate confounding in observational studies, although complications arise when the covariates used to estimate the PS are…

stat.AP2017★ 3 cited

Simulating realistically complex comparative effectiveness studies with time-varying covariates and right-censored outcomes

Maria E. Montez-Rath, Kristopher Kapphahn, Maya B. Mathur +3

Simulation studies are useful for evaluating and developing statistical methods for the analyses of complex problems. Performance of methods may be affected by multiple complexitie…