OOIR: Observatory of International Research

Papers

(The TQCC of International Statistical Review is 2. 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 2020-05-01 to 2024-05-01.)

Article	Citations
A Review of Multi‐Compartment Infectious Disease Models	73
A Critical Review of LASSO and Its Derivatives for Variable Selection Under Dependence Among Covariates	32
Predictive Inference Based on Markov Chain Monte Carlo Output	31
A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications	29
Priors in Bayesian Deep Learning: A Review	23
Prediction, Estimation, and Attribution	23
Initialization of Hidden Markov and Semi‐Markov Models: A Critical Evaluation of Several Strategies	18
Data Integration by Combining Big Data and Survey Sample Data for Finite Population Inference	18
Rethinking the Effective Sample Size	16
Bias, Fairness and Accountability with Artificial Intelligence and Machine Learning Algorithms	16
Statistical Implementations of Agent‐Based Demographic Models	15
Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic	14
Spatial Regression With Partial Differential Equation Regularisation	14
On Some Characteristics of Gaussian Covariance Functions	13
Hierarchical Models for the Analysis of Likert Scales in Regression and Item Response Analysis	12
Another Look at the Lady Tasting Tea and Differences Between Permutation Tests and Randomisation Tests	11
Ranks and Pseudo‐ranks—Surprising Results of Certain Rank Tests in Unbalanced Designs	11
Modern Strategies for Time Series Regression	8
On the Effects of Spatial Confounding in Hierarchical Models	8
Small Area Estimation for Disease Prevalence Mapping	8
Uncertainty Estimation for Pseudo‐Bayesian Inference Under Complex Sampling	7
Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies	7
Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures	7
Enhancing Data Science Ethics Through Statistical Education and Practice	7
Reluctant Generalised Additive Modelling	6

Efficient and robust propensity‐score‐based methods for population inference using epidemiologic cohorts	5
An Extensive Comparison of Some Well‐Established Value at Risk Methods	5
White Noise Test from Ordinal Patterns in the Entropy–Complexity Plane	5
Supervised Machine Learning Techniques: An Overview with Applications to Banking	5
Variable Selection for Interval‐censored Failure Time Data	5
Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing a New Framework to Review and Standardise Documentation of Model Assumptions and Facilitate Model Compar	4
Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data	4
Modelling Excess Zeros in Count Data: A New Perspective on Modelling Approaches	4
A Statistical Review of Template Model Builder: A Flexible Tool for Spatial Modelling	4
Estimating Sampling Errors in Consumer Price Indices	4
Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics	4
Directions Old and New: Palaeomagnetism and Fisher (1953) Meet Modern Statistics	4
A Survey of Differentially Private Regression for Clinical and Epidemiological Research	4
Likelihood‐Based Inference for the Finite Population Mean with Post‐Stratification Information Under Non‐Ignorable Non‐Response	3
From Pareto to Weibull – A Constructive Review of Distributions on ℝ⁺	3
A Review of Seasonal Adjustment Diagnostics	3
Rao–Blackwellisation in the Markov Chain Monte Carlo Era	3
An Efficient Test for Homogeneity of Mean Directions on the Hyper‐sphere	3
Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea	2
C. Radhakrishna Rao: A Century in Statistical Science	2
A Review of Data‐Driven Discovery for Dynamic Systems	2
On Two Existing Approaches to Statistical Analysis of Social Media Data	2
Deconfounding and Causal Regularisation for Stability and External Validity	2
A Legacy of EM Algorithms	2
Optimal Treatment Regimes: A Review and Empirical Comparison	2
Increasing Trust in New Data Sources: Crowdsourcing Image Classification for Ecology	2
Survival Modelling for Data From Combined Cohorts: Opening the Door to Meta Survival Analyses and Survival Analysis Using Electronic Health Records	2
Fisher's g Revisited	2
Statistical analysis of longitudinal studies	2
A Conversation With Paul Embrechts	2
Unlucky Number 13? Manipulating Evidence Subject to Snooping	2
The Data Science Process: One Culture	2
Are You All Normal? It Depends!	2
Double Empirical Bayes Testing	2