Joined July 2021
Photos and videos
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!
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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

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Sorry, I missed including Sekhon as an author!
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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/…

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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

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Observational Studies retweeted
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
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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

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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

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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

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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

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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

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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

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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!
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We're proud to announce that Observational Studies will now be indexed by Scopus!
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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
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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/arti…).
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Sorry, there was a typo in the contact email: nanditam@upenn.edu