Join Series A tomorrow for what promises to be a lively discussion meeting on Carl Morris' Finite Selection Model and its applications throughout experimental design

rss.org.uk/news-publication/news-publications/2025/member-callouts/associate-editors-sought-for-series-a/ We are looking for new editors for JRSSA! (details at the link) We are seeking associate editors for a four-year term starting in January 2026.

We wanted to invite you to the next discussion paper meeting ‘Balanced and Robust Randomized Treatment Assignments: The Finite Selection Model for the Health Insurance Experiment and Beyond’ on October 22nd at 3 pm (UK time) (more details on link!) rss.org.uk/training-eve...

🆕Latent class multi-state quantile regression with a cure fraction: application to jail recidivism in the USA 💡@barross993.bsky.social and @afarcome.bsky.social analyze time spent after release with a quantile regression approach doi.org/10.1093/jrss...

🆕Improving survey inference in two-phase designs using Bayesian machine learning 🪶Wang, Chen, et al with a very clear purpose in the title of their paper doi.org/10.1093/jrss...

🆕Multilayer topology-aware graph contrastive learning for fraud detection in the Ethereum transaction network 💱Chen et al delve in Blockchain networks doi.org/10.1093/jrss...

🆕A Bayesian approach to estimate causal peer influence accounting for latent network homophily 💡Um , Sweet and Adhikari show a framework to disentangle homophily from causal peer influence doi.org/10.1093/jrss...

🆕Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19 💡Bouranis et al. develop a flexible Bayesian evidence synthesis approach to model age-specific transmission dynamics of COVID-19 based on daily death counts

🆕Identifying enhanced generalized linear model estimation with nonignorable missing outcomes 💡Beppu, Choi, Morikawa & Im try to respond what happens when people don't respond to surveys because of their actual (unobserved) answer? doi.org/10.1093/jrss...

🆕Robust inference for geographic regression discontinuity designs: assessing the impact of police precincts 💡Kendall et al analyze how smaller, sub-municipal boundaries like police districts, precincts, and service areas also influence police outcomes doi.org/10.1093/jrss...

Who increases emergency department (ED) use? New insights from the Oregon health insurance experiment 💡Austin Denteh and Helge Liebert estimate the heterogeneous impacts of Medicaid on ED use and characterize them doi.org/10.1093/jrss...

🆕Long-term trends of US county-level extreme ozone concentrations with long memory and changepoint considerations 🌬️Lee and Lee develop a long-memory extreme series model using a copula transformation to quantify long-term trends of extreme ozone doi.org/10.1093/jrss...

🆕Bayesian safe policy learning with chance constrained optimization: application to military security assessment during the Vietnam War 🤔Jia Ben-Michael and Imai examine whether a security assessment algorithm deployed during the Vietnam War could have been improved doi.org/10.1093/jrss...

🆕Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data ‼️Lee and Kim introduce the Counterfactual Buckley–James Q-Learning framework, to address challenges arising from longitudinal survival data. doi.org/10.1093/jrss...

🆕 Capturing the Spatio-Temporal Diffusion Effects of Armed Conflict: A Non-parametric Smoothing Approach 💡@dracek.bsky.social‬ Thurner and Kauermann develop a statistical model to capture the spatio-temporal diffusion effects of armed conflict (@lmumuenchen.bsky.social‬) doi.org/10.1093/jrss...

🆕The effect of past successes on the probability of a current success: evidence from a natural experiment ♟️Adriaan Kalwij investigates the momentum effects to assess chess tournament performance doi.org/10.1093/jrss...

🆕A framework for studying causal effects of speech style: application to US presidential campaigns 💡Damann, Knox & Lucas develop a formal causal framework to overcome limitations of text-only analyses doi.org/10.1093/jrss...

🆕Spatially selected and dependent random effects for small area estimation with application to rent burden 💡Kawano Parker & Li we introduce a model that accounts for spatial dependence in random effects as well and effect selection latent processes doi.org/10.1093/jrss...

🆕Flexible Bayesian modelling of age-specific counts in many demographic subpopulations 💡Zens proposes a Bayesian model for the joint analysis of age-specific counts in many, potentially small, demographic subpopulations doi.org/10.1093/jrss...

🆕Estimating methane emissions from the upstream oil and gas industry using a multi-stage framework 💡Wigle and Béliveau provide a method for estimating methane inventories that are simple to interpret t.co/wWXhJhmTGq

🆕The analysis of criminal recidivism: a hierarchical model-based approach for the analysis of zero-inflated, spatially correlated recurring event data 💡Silva et al introduce models that overcome limitations in methods used to analyse criminal recidivism doi.org/10.1093/jrss...

🆕Joint estimation of insurance loss development factors using Bayesian hidden Markov models 💡Conor Goold proposes a novel application of Bayesian hidden Markov models to loss development modelling, where latent states are automatically learned from the data. doi.org/10.1093/jrss...

New: The short-term association between environmental variables and mortality: evidence from Europe 🪶Robben Antonio and Kleinow develop a modelling framework where a baseline model captures a region-specific, seasonal trend observed within weekly mortality rates doi.org/10.1093/jrss...

A Bayesian zero-inflated spatially varying coefficients model for overdispersed binomial data 🪶Wen and others developed a zero-inflated beta-binomial model within a spatiotemporal framework to analyze cardiometabolic risk factors (CRFs) doi.org/10.1093/jrss...

🆕Graphical displays and related statistical measures of health disparities between groups in complex sample surveys 🖌️‪ Ramos ( @mframos.bsky.social ) Graubard & Gastwirth develop measures focused on estimating disparities in health variables related to adverse health status doi.org/10.1093/jrss...

Our latest paper is now published in @jrssa.bsky.social. We constructed new ways to describe disparity between groups in survey-weighted data. Software to use these methods are now available in the glorenz R-package. #statsky #datascience #dataliteracy #academicsky academic.oup.com/jrsssa/advan...

🆕On life table measures of mortality shocks 🪶Juha Alho addresses the limitations of the life table techniques to analyze mortality shocks doi.org/10.1093/jrss...

🆕Bayesian unit-level models for longitudinal survey data under informative sampling: an analysis of expected job loss using the Household Pulse Survey 🪶Vedensky et al propose a new unit-level modelling methodology ... doi.org/10.1093/jrss...

🆕Estimating controlled direct effects with panel data: an application to reducing support for discriminatory policies 🪶Blackwell et al. ask if perspective-taking conversations on discrimination can directly affect policy views without changing prejudice doi.org/10.1093/jrss...

🆕Real-time modelling of the SARS-CoV-2 pandemic in England 2020–2023: a challenging data integration 🦠Birrell et al. present a deconstruction of one of the ‘real-time’ models that was a key contributor to monitoring current COVID-19 trends 🔓doi/10.1093/jrsssa/qnaf030/8116757

Hi Bluesky! We arrived. Happy to be friends with all of you so follow us and we'll do the same