A Bayesian Nonparametric Model for Zero-Inflated Outcomes: Prediction, Clustering, and Causal Estimation

Arman Oganisian, Nandita Mitra, and Jason Roy

Bayesian Longitudinal Causal Inference in the Analysis of the Public Health Impact of Pollutant Emissions

Chanmin Kim, Corwin M Zigler, Michael J Daniels, Christine Choirat, and Jason A Roy

Patterns of Effects and Sensitivity Analysis for Differences-in-Differences

Luke J. Keele, Dylan S. Small, Jesse Y. Hsu, and Colin B. Fogarty

Robust causal inference with continuous instruments using the local instrumental variable curve

Edward H. Kennedy, Scott Lorch, and Dylan S. Small

Bounded, efficient and multiply robust estimation of average treatment effects using instrumental variables

Wang L, Tchetgen Tchetgen E.

 

Estimating scaled treatment effects with multiple outcomes

Edward H Kennedy, Shreya Kangovi, Nandita Mitra

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Estimating cost-effectiveness from claims and registry data with measured and unmeasured confounders

Elizabeth Handorf, Daniel Heitjan, Justin Bekelman, Nandita Mitra

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Sensitivity analysis and power for instrumental variable studies

Wang X, Jiang Y, Zhang NR, Small DS.

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Eliminating survivor bias in two-stage instrumental variable estimators.

Vansteelandt S, Walter S, Tchetgen Tchetgen E.

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Bayesian nonparametric generative models for causal inference with missing at random covariates

Jason Roy, Kirsten J. Lum, Bret Zeldow , Jordan D. Dworkin, Vincent Lo Re III, and Michael J. Daniels

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