Observational Studies

A peer-reviewed journal publishing manuscripts on all aspects of observational studies.
Editors-in-Chief: Nandita Mitra, PhD and Andrew Spieker, PhD

[Observational Studies @ObservStudies]

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!

[Observational Studies @ObservStudies]

Sorry, I missed including Sekhon as an author!

[Observational Studies @ObservStudies]

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: https://t.co/BAy43OMA5Y

[Observational Studies @ObservStudies]

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”!!
https://t.co/MdR2w4bPF0

[Observational Studies @ObservStudies]

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: https://t.co/k2Qf3oRYGw

[Penn Press @PennPress]

Thank you to @UDLibrary for their support of Diamond Open Access by contributing to @ObservStudies through @OACIP_LYRASIS. For more about OACIP: https://t.co/0TKYHfAhkL

[Observational Studies @ObservStudies]

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: https://t.co/AjGKePJgKC

[Observational Studies @ObservStudies]

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. https://t.co/yiv1HUqPNq

[Observational Studies @ObservStudies]

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.
https://t.co/ZefeXJkus8

[Observational Studies @ObservStudies]

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! https://t.co/yRQ2MDn3F9

[Observational Studies @ObservStudies]

Check out our newest issue featuring commentaries on Rosenbaum and Rubin's 1983 propensity score paper (Biometrika) in celebration of its 40th anniversary: https://t.co/SjkR3eXv8G

[Observational Studies @ObservStudies]

@Basucally Thanks so much, Anirban!

[Observational Studies @ObservStudies]

Observational Studies is excited to announce our new special issue "Rebels with a Cause: Monologues from Heckman, Pearl, Robins, and Rubin": https://t.co/W1uipH5VKr
These fascinating monologues are followed by insightful perspectives by Didelez, Mealli, and Tchetgen Tchetgen

[Observational Studies @ObservStudies]

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!

[Observational Studies @ObservStudies]

Scopus is a huge database of citations and abstracts that helps with article searches and indexing: https://t.co/9nC84Boy2C

[Observational Studies @ObservStudies]

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

[Observational Studies @ObservStudies]

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

[Observational Studies @ObservStudies]

Sorry, there was a typo in the contact email: [email protected]

[Observational Studies @ObservStudies]

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; https://t.co/GtvSaCwkEy).

[Observational Studies @ObservStudies]

Please see author guidelines and submission instructions at https://t.co/cg8Y1sxfux
The deadline for submitting comments is July 1, 2022.