Journal

Statistics in Medicine

ISSN 0277-6715 · Wiley

Published here

15 counted works of 16 linked

YearTitleAcademicsSources
2025 Estimating Average Treatment Effects with Support Vector Machines Kosuke Imai CV OA GS
2025 Multilevel regression and poststratification using margins of poststratifiers: Improving inference for HIV health outcomes during the COVID-19 pandemic Andrew Gelman CV OA
2024 Using leave-one-out cross-validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale Andrew Gelman CV OA GS
2023 A Guide to Regression Discontinuity Designs in Medical Applications Rocío Titiunik CV OA GS
2021 Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data Andrew Gelman CV OA GS
2018 A Sensitivity Analysis for Missing Outcomes Due to Truncation-by-Death under the Matched-Pairs Design Kosuke Imai CV OA GS
2015 Incorporating the sampling design in weighting adjustments for panel attrition Andrew Gelman CV OA GS
2015 Regression: What’s it all about related record Andrew Gelman GS
2015 Regression: What’s it all about? Review of Bayesian and Frequentist Regression Methods, by Jon Wakefield Andrew Gelman CV OA GS
2009 Some thoughts on the BUGS package for Bayesian analysis1 Andrew Gelman GS
2009 Some thoughts on the BUGS package for Bayesian analysis. Discussion of “The BUGS project: evolution, critique and future directions,” by David Lunn, David Spiegelhalter, Andrew Thomas, and Nicky Best Andrew Gelman CV OA GS
2008 Scaling regression inputs by dividing by two standard deviations Andrew Gelman CV OA GS
2008 Variance Identification and Efficiency Analysis in Experiments under the Matched-Pair Design Kosuke Imai CV OA GS
2002 Estimating Risk and Rate Levels, Ratios, and Differences in Case-Control Studies Gary King CV OA GS
2000 A method for quantifying artifacts in mapping methods, illustrated by application to headbanging Andrew Gelman CV OA GS
1999 All maps of parameter estimates are misleading Andrew Gelman CV OA GS