550 citations · 976 across the 12 of their papers we have counts for
5 papers · 1 filter
Why Machine Learning Cannot Ignore Maximum Likelihood Estimation
Mark J. van der Laan, Sherri Rose
The growth of machine learning as a field has been accelerating with increasing interest and publications across fields, including statistics, but predominantly in computer science…
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid
Irina Degtiar, Tim Layton, Jacob Wallace +1
While much of the causal inference literature has focused on addressing internal validity biases, both internal and external validity are necessary for unbiased estimates in a targ…
Identifying Undercompensated Groups Defined By Multiple Attributes in Risk Adjustment
Anna Zink, Sherri Rose
Risk adjustment in health care aims to redistribute payments to insurers based on costs. However, risk adjustment formulas are known to underestimate costs for some groups of patie…
Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms
Ani Eloyan, Sherri Rose
We consider an extension of Leo Breiman's thesis from "Statistical Modeling: The Two Cultures" to include a bifurcation of algorithmic modeling, focusing on parametric regressions,…
A Review of Generalizability and Transportability
Irina Degtiar, Sherri Rose
When assessing causal effects, determining the target population to which the results are intended to generalize is a critical decision. Randomized and observational studies each h…