OOIR: Observatory of International Research

Papers

(The median citation count of Statistical Modelling is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-08-01 to 2026-08-01.)

Article	Citations
A novel Benford-based approach for detecting statistical anomalies in precinct-level election data	20
Integrating joint latent class mixed models and Bayesian network for uncovering clinical subgroups of COVID-19 patients	14
Editorial	12
Simultaneous estimation and model choice for big discrete time-to-event data with additive predictors	10
Simple or complex statistical models: Non-traditional regression models with intuitive interpretations	9
The Skellam distribution revisited: Estimating the unobserved incoming and outgoing ICU COVID-19 patients on a regional level in Germany	9
Time-to-event modelling for grouped variables using Exclusive Lasso	8
Response mixture models based on supervised components: Clustering floristic taxa	7
Nonparametric estimation of bivariate hidden Markov models using tensor-product B-splines	6
Fast, effective, and coherent time series modelling using the sparsity-ranked lasso	6
Bayesian discrete conditional transformation models	6
Regularization and model selection for ordinal-on-ordinal regression with applications to food products’ testing and survey data	5
Discussion on: ‘Simple or complex statistical models: Non-traditional regression models with intuitive interpretations’ by Gillian Z. Heller	5
Twenty-five years of statistics and Statistical Modelling	4
Rational voting behaviour accounting for heterogeneous ballots in British elections	4
A flexible Bayesian hierarchical quantile spatial model for areal data	4
An extended generalized Pareto regression model for count data	3
Graph-structured variable selection with Gaussian Markov random field horseshoe prior	3
Guest Editorial: Statistical modelling with latent variables	3
Editorial: An informal look at 25 Years of Statistical Modelling papers	3
Modelling dependence in football match outcomes: Traditional assumptions and an alternative proposal	3
A Bayesian approach for variable selection in mixture of logistic regressions with Pólya-Gamma data augmentation	3
Omitted covariates bias and finite mixtures of regression models for longitudinal responses	2
A novel Benford-based approach for detecting statistical anomalies in precinct-level election data	2
Bayesian multivariate semi-Markov-switching mixed data sampling	2

Impact of jittering on raster- and distance-based geostatistical analyses of DHS data	2
A statistical modelling approach to feedforward neural network model selection	2
A spline-based framework for the flexible modelling of continuously observed multistate survival processes	2
A novel mixture model for characterizing human aiming performance data	2
Penalty parameter selection and asymmetry corrections to Laplace approximations in Bayesian P-splines models	2
Inference on a bivariate binomial distribution with zero-inflation applicable to baseball data	2
How to build your latent Markov model: The role of time and space	2
Covariate-modulated rectangular latent Markov models with an unknown number of regime profiles	1
Dual-phase threshold selection methodology for modelling extreme events	1
Joint modelling of dyadic and monadic count outcomes: an application to modelling forced migration flows	1
Semi-parametric model approach to causal mediation analysis for longitudinal data	1
Bivariate distributional copula regression for mixed non-time-to-event and time-to-event responses	1
Editorial	1
Fast and efficient joint modelling of multivariate longitudinal data and time-to-event data with a pairwise-fitting approach	1
Discussion on: Shape constrained additive smooth models by Simon N. Wood	1
A Bayesian hierarchical model for predicting rates of oxygen consumption in mechanically ventilated intensive care patients	1
Detection of nonlinearity, discontinuity and interactions in generalized regression models	1
Taking advantage of sampling designs in spatial small-area survey studies	1
Robust function-on-function interaction regression	1
A general framework for random effects models for binary, ordinal, count type and continuous dependent variables	1
Shape constrained additive smooth models	1
A path-based boosting algorithm for exploring transition metal compounds	1
Guided structure learning of DAGs for count data	1
Penalizing complexity priors for Bayesian inference of circular models	1
A joint normal-binary (probit) model for high-dimensional longitudinal data	1
Derivative curve estimation in longitudinal studies using P-splines	1
Bayesian effect selection in structured additive quantile regression	1
Soft-clipping INGARCH models for time series of bounded counts	1