Announcements

A general approach to evaluating the bias of 2‐stage instrumental variable estimators

Fei Wan, Dylan Small, and Nandita Mitra

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There is an opening for a postdoctoral fellowship in the CCI. Apply by February 28, 2018 to join our group!

Quantitative Evaluation of the Trade-off of Strengthened Instruments and Sample Size in Observational Studies

Ashkan Ertefaie, Dylan S. Small & Paul R. Rosenbaum

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A causal approach to analysis of censored medical costs in the presence of time-varying treatment

Spieker, Oganisian, Ko, Roy, Mitra

https://arxiv.org/abs/1705.08742

Paradoxes in instrumental variable studies with missing data and one-sided noncompliance

Kennedy and Small

https://arxiv.org/abs/1705.00506

Nonparametric causal effects based on incremental propensity score interventions

Kennedy

https://arxiv.org/abs/1704.00211

A doubly robust approach for cost–effectiveness estimation from observational data

Li, Vachani, Epstein, Mitra

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

Roy, Lum, Daniels, Zeldow, Dworkin, Lo Re III

https://arxiv.org/abs/1702.08496

A new, powerful approach to the study of effect modification in observational studies.

Lee, Small, Rosenbaum

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The Trend-in-Trend Research Design for Causal Inference.

Ji, Small, Leonard, Hennessy

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ABOUT CCI

The Center for Causal Inference (CCI) is a research center that is operating under a partnership between Penn’s Center for Clinical Epidemiology and Biostatistics (CCEB), the Department of Biostatistics and Epidemiology, Rutgers School of Public Health, and Penn’s Wharton School. The mission of the CCI is to be a leading center for research and training in the development and application of causal inference theory and methods.

CONTACT US

6th Floor Blockley Hall 
423 Guardian Drive 
Philadelphia, PA 19104 

Email us with general inquiries