Observational Studies

Thrilled to welcome Andrew Spieker (@SpiekerStats) from Vanderbilt as Co-Editor-in-Chief of Observational Studies! After 5 rewarding years solo, I’m excited to share this role with such a thoughtful scholar and leader in causal inference. Big things ahead!

Sorry, I missed including Sekhon as an author!

I'm pleased to announce the publication of our special issue featuring an opinion piece by Aronow, Robins, Saarinen, Sävje: “Nonparametric Identification Is Not Enough, but Randomized Controlled Trials Are" along with 6 commentaries: muse.jhu.edu/issue/54591

Congratulations to Jordan Rodu and Michael Baiocchi for winning the Cochran Award for best publication in OBS in the past 2 years for their paper “When black box algorithms are (not) appropriate”!! muse.jhu.edu/pub/56/article…

Our spring/summer issue is now out! Check out articles on bias in matched case-control studies, a protocol for an obs study on the effects of adolescent sports participation, and a causal approach to price optimization using conjoint data: muse.jhu.edu/issue/52625

Thank you to @UDLibrary for their support of Diamond Open Access by contributing to @ObservStudies through @OACIP_LYRASIS. For more about OACIP: ow.ly/rZPr50RaKU2

Check out our newest issue including papers on sensitivity analysis for matched pairs design, power analysis for DTRs, using a diff-in-diff control trial, causal inf for invalid IVs, and a tutorial on matching for clustered studies: muse.jhu.edu/issue/51573

Our newest issue features manuscripts from 6 teams that competed in the American Causal Inference Conference (ACIC) Data Challenge in 2022 to causally evaluate large-scale U.S. health care system interventions aimed to lower Medicare expenditures. muse.jhu.edu/issue/50973

Check out our newest issue of Observational Studies (issue 9.2). Great papers on black box algorithms, new R packages for causal inference, dimension reduction techniques, and leveraging contact network information. muse.jhu.edu/issue/49836

We are delighted to announce that "gesttools: General Purpose G-Estimation in R" by Tompsett, Vansteelandt, Dukes, and De Stavola has been awarded the Cochran Award for best paper published in Observational Studies over the last 2 years! muse.jhu.edu/article/856403

Check out our newest issue featuring commentaries on Rosenbaum and Rubin's 1983 propensity score paper (Biometrika) in celebration of its 40th anniversary: muse.jhu.edu/issue/49835

@Basucally Thanks so much, Anirban!

What a fantastic collection of viewpoints on science and causality from the giants in our field!!! Congrats @ObservStudies and CE Nandita Mitra!

Observational Studies is excited to announce our new special issue "Rebels with a Cause: Monologues from Heckman, Pearl, Robins, and Rubin": muse.jhu.edu/issue/48885 These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen

The deadline to submit commentaries on Rosenbaum and Rubin's Biometrika 1983 paper has been extended to August 1. We look forward to your submissions!

Scopus is a huge database of citations and abstracts that helps with article searches and indexing: elsevier.com/solutions/scop…

We're proud to announce that Observational Studies will now be indexed by Scopus!

We invite submissions of commentaries on Rosenbaum and Rubin’s paper “The central role of the propensity score in observational studies for causal effects” (Biometrika, 1983). These commentaries will be published in a special issue. Deadline July 1, 2022

Sorry, there was a typo in the contact email: nanditam@upenn.edu

Please see author guidelines and submission instructions at obs.pennpress.org The deadline for submitting comments is July 1, 2022.

Observational Studies invites submission of commentaries on Paul Rosenbaum and Donald Rubin’s influential paper “The central role of the propensity score in observational studies for causal effects” (Biometrika, 1983; academic.oup.com/biomet/article…).