Jennifer Hill

发表

Data Analysis Using Regression and Multilevel/Hierarchical Models: Understanding and summarizing the fitted models

Andrew Gelman, Jennifer Hill, 2006 .

A Causal Framework for Observational Studies of Discrimination*

Sharad Goel, Guillaume Basse, William Cai, 2022, Statistics and Public Policy.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Multilevel linear models: varying slopes, non-nested models, and other complexities

Andrew Gelman, Jennifer Hill, 2006 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Simulation of probability models and statistical inferences

Andrew Gelman, Jennifer Hill, 2006 .

Applied regression and multilevel/hierarchical models

Andrew Gelman, Jennifer Hill, 2006 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Missing-data imputation

Andrew Gelman, Jennifer Hill, 2006 .

Reducing Bias in Treatment Effect Estimation in Observational Studies Suffering from Missing Data

Jennifer Hill, Jennifer L. Hill, 2004 .

Discussion of research using propensity‐score matching: Comments on ‘A critical appraisal of propensity‐score matching in the medical literature between 1996 and 2003’ by Peter Austin, Statistics in Medicine

Jennifer Hill, Jennifer L. Hill, J. Hill, 2008, Statistics in medicine.

Data Analysis Using Regression and Multilevel/Hierarchical Models: Single-level regression

Andrew Gelman, Jennifer Hill, 2006 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Fitting multilevel models

Andrew Gelman, Jennifer Hill, 2006 .

Interval estimation for treatment effects using propensity score matching

Jerome P. Reiter, Jerome P Reiter, Jennifer Hill, 2006, Statistics in medicine.

Principal Stratification Approach to Broken Randomized Experiments

Donald B. Rubin, John Barnard, Jennifer Hill, 2003 .

Data Analysis Using Regression and Multilevel/Hierarchical Models: Multilevel linear models: the basics

Andrew Gelman, Jennifer Hill, A. Gelman, 2006 .