6 papers
Marginal generalized raking with parametric working models
Brian D Williamson, Runjia Zou, Thomas Lumley +2
Generalized raking (GR) was originally developed in the survey statistics literature to incorporate auxiliary information in estimation. Recently, it has been used in the biostatis…
De-meaning Simulation Studies
Thomas Lumley, Brian Williamson, Pamela Shaw
In simulation studies evaluating asymptotic approximations it is common practice to report averages and standard deviations over repeated simulations. We argue that quantile-based…
Addressing errors in multiple variables using generalized raking and cumulative probability models
Eric S. Kawaguchi, Chun Li, Frank E. Harrell +3
Routinely collected data, such as electronic health record (EHR) data, are frequently used for biomedical research, but these data are prone to errors, which can bias study finding…
Generalized raking and stabilized weights for regression modeling in two-phase samples
Tong Chen, Joshua Slone, Gustavo Amorim +3
In regression models fitted to data from complex survey designs, sampling weights often incorporate non-essential variation, inflating variance estimates. Stabilized weights mitiga…
Design-Based Inference for the AUC with Complex Survey Data
Amaia Iparragirre, Thomas Lumley, Irantzu Barrio
Complex survey data are usually collected following complex sampling designs. Accounting for the sampling design is essential to obtain unbiased estimates and valid inferences when…
Optimal two-phase sampling designs for generalized raking estimators with multiple parameters of interest
Jasper B. Yang, Bryan E. Shepherd, Thomas Lumley +1
Large observational datasets, including those derived from electronic health records, are a valuable resource for medical research but are often affected by missingness, measuremen…