Search Results for author: Sherri Rose

Found 9 papers, 5 papers with code

Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations

1 code implementation25 Feb 2022 Paidamoyo Chapfuwa, Sherri Rose, Lawrence Carin, Edward Meeds, Ricardo Henao

Understanding the effects of these system inputs on system outputs is crucial to have any meaningful model of a dynamical system.

Time Series Time Series Analysis

Why Machine Learning Cannot Ignore Maximum Likelihood Estimation

no code implementations23 Oct 2021 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.

BIG-bench Machine Learning

Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid

1 code implementation27 Sep 2021 Irina Degtiar, Tim Layton, Jacob Wallace, Sherri Rose

To generalize to a target population represented by a union of these data, we propose a class of novel conditional cross-design synthesis estimators that combine randomized and observational data, while addressing their respective biases.

Causal Inference Design Synthesis

Considerations Across Three Cultures: Parametric Regressions, Interpretable Algorithms, and Complex Algorithms

no code implementations14 Apr 2021 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, interpretable algorithms, and complex (possibly explainable) algorithms.

A Review of Generalizability and Transportability

no code implementations23 Feb 2021 Irina Degtiar, Sherri Rose

Estimates from randomized data may have internal validity but are often not representative of the target population.

Causal Inference

Ethical Machine Learning in Health Care

no code implementations22 Sep 2020 Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi

The use of machine learning (ML) in health care raises numerous ethical concerns, especially as models can amplify existing health inequities.

BIG-bench Machine Learning Ethics

Fair Regression for Health Care Spending

1 code implementation28 Jan 2019 Anna Zink, Sherri Rose

The distribution of health care payments to insurance plans has substantial consequences for social policy.

Fairness regression

Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects

1 code implementation20 May 2018 Sherri Rose

Observational cohort studies with oversampled exposed subjects are typically implemented to understand the causal effect of a rare exposure.

Causal Inference

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