58 citations · 94 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data
Albee Y. Ling, Allison W. Kurian, Jennifer L. Caswell-Jin +3
Objectives: Most cancer data sources lack information on metastatic recurrence. Electronic medical records (EMRs) and population-based cancer registries contain complementary infor…