Career trajectories
Voldoire et al. model career paths of French elite civil servants using whole-population data - what we observe vs. what we can infer 🇫🇷
doi.org/10.1093/jrss...

Sports equity
Cashmore et al. on gender disparities in horse racing - examining whether female jockeys face systematic placement disadvantages 🏇
doi.org/10.1093/jrss...

Energy markets
Saâdaoui & Rabbouch use multiresolution neural networks with q-wavelet methods for electricity market forecasting - handling complexity at multiple scales ⚡
doi.org/10.1093/jrss...

Survey data
Gueorguieva & Iannario present multivariate mixed models that properly account for 'don't know' responses in ordinal data - because uncertainty is data too 🤔
doi.org/10.1093/jrss...

Small area estimation
Bugallo & Morales develop inference methods for M-quantile models with applications to small area estimation - getting local estimates right ⚙️
doi.org/10.1093/jrss...

Mortality
Lanfiuti Baldi & Nigri use Age-Period-Cohort models to examine the gender gap in youth and early adult mortality - disentangling temporal patterns 📊
doi.org/10.1093/jrss...

Climate & health
Chen et al. model how heat exposure effects vary across space - because the relationship between temperature and health isn't the same everywhere 🌡️
doi.org/10.1093/jrss...

Education assessment
Cortes et al. on handling student non-participation in international learning assessments - what can we say about mean achievement when not everyone shows up? 🎓
doi.org/10.1093/jrss...

Tax fraud
Alexopoulos et al. use network analysis to detect VAT fraud - following the money through transaction networks 💰
doi.org/10.1093/jrss...

Survey methods
Who wants to take surveys on their phone? Olson & Smyth revisit what predicts survey mode preference in the smartphone era 📱
doi.org/10.1093/jrss...

Diagnostic tests
Guolo & Caruso tackle measurement error in meta-analyses of diagnostic test accuracy using SIMEX methods - important for getting reliable estimates when test classifications aren't perfect 🔬
doi.org/10.1093/jrss...

We demonstrate that higher variability in snap timing is beneficial for the passing game, as it relates to facing less havoc created by the opposing defence. We also obtain a quarterback leaderboard based on our snap timing variability measure, and Patrick Mahomes stands out 🐐

Using a Bayesian multilevel model with heterogeneous variances, we provide an assessment of National Football League (NFL) quarterbacks and their ability to synchronize the timing of the ball snap with pre-snap movement from their teammates.

Associate editors are appointed for 4-year periods and usually have a workload of no more than 10-12 new papers per year.

If you would like to nominate yourself, please send a short note to Mike Elliott (again, details at the link) with a CV by 31st October 2025.

We are looking to cover these areas:

Latent variables
Multivariate modes
Machine learning
Network analysis
Causal inference
Missing data
Confidentiality
Spatial statistics
Categorical data analysis
Infectious disease
Genomics
Econometrics
Sports statistics
Business management

At Hallam Conference Centre and online, more details on the link. *free and open to everyone*, and people can just listen to the authors and invited discussants, there's no need to make a comment.