Journal of Applied Statistics

Article	Citations
Diagnostic analytics for the mixed Poisson INGARCH model with applications	42
Causal mediation analysis between resistance exercise and reduced risk of cardiovascular disease based on the Aerobics Center Longitudinal Study	30
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	29
Multicriteria decision frontiers for prescription anomaly detection over time	23
Shrinkage estimation of fixed and random effects in linear quantile mixed models	22
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	20
Tests of covariate effects under finite Gaussian mixture regression models	19
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	19
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	18
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	18
Bayesian doubly robust estimation of causal effects for clustered observational data	16
Estimation of time-varying kernel densities and chronology of the impact of COVID-19 on financial markets	15
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	15
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	15
A non-linear integer-valued autoregressive model with zero-inflated data series	15
A defective cure rate quantile regression model for male breast cancer data	14
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	13
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	12
A control chart for bivariate discrete data monitoring	11
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	11
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	10
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	10
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	10
A test for comparing conditional ROC curves with multidimensional covariates	9
Influence diagnostics in the Heckman selection models based on EM algorithms	9

A robust latent CUSUM chart for monitoring customer attrition	9
Forecasting waved daily COVID-19 death count series with a novel combination of segmented Poisson model and ARIMA models	8
Exact inference for disease prevalence based on a test with unknown specificity and sensitivity	7
Current status data with two competing risks and time-dependent missing failure types	7
Multiple comparisons of treatment against control under unequal variances using parametric bootstrap	7
On detecting the effect of exposure mixture	7
Parametric estimation of quantile versions of Zenga and D inequality curves: methodology and application to Weibull distribution	7
Goodness-of-fit tests for the one-sided Lévy distribution based on quantile conditional moments	7
Developing predictive precision medicine models by exploiting real-world data using machine learning methods	7
Testing serial correlation in a general d -factor model with possible infinite variance	7
The balanced discrete Burr–Hatke model and mixing INAR(1) process: properties, estimation, forecasting and COVID-19 applications	7
Spot It!and balanced block designs: keys to better debate architecture for a plethora of candidates in presidential primaries?	7
Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates	6
Inference for a discretized stochastic logistic differential equation and its application to biological growth	6
A fusion learning method to subgroup analysis of Alzheimer's disease	6
Forecasting a time series of Lorenz curves: one-way functional analysis of variance	6
Personalized treatment selection using observational data	6
Functional distributional clustering using spatio-temporal data	6
Estimation of accelerated hazards models based on case K informatively interval-censored failure time data	6
A new GEE method to account for heteroscedasticity using asymmetric least-square regressions	6
Estimation for volunteer web survey samples using a model-averaging approach	6
Detection and estimation of multiple transient changes	6
On regime changes of COVID-19 outbreak	6
Robust parameter estimation and variable selection in regression models for asymmetric heteroscedastic data	5
Gradient test to assess homogeneity of probabilities in discrete-time transition models with application in agricultural science data	5
Estimating linear mixed effect models with non-normal random effects through saddlepoint approximation and its application in retail pricing analytics	5
Confidence sets for dynamic poverty indexes	5
Local Linear Regression and the problem of dimensionality: a remedial strategy via a new locally adaptive bandwidths selector	5
Fast algorithms of computing admissible intervals for discrete distributions with single parameter	5
Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients	5
Bayesian poisson regression tensor train decomposition model for learning mortality pattern changes during COVID-19 pandemic	5
Depth-based statistical analysis in the spike train space	5
A robust likelihood approach to inference for paired multiple binary endpoints data	5
Framework for constructing an optimal weighted score based on agreement	5
A note on the unimodality and log-concavity of the exponentiated Teissier distribution	4
Maximum precision estimation for a step-stress model using two-stage methodologies	4
Estimation and prediction for Burr type III distribution based on unified progressive hybrid censoring scheme	4
Anticipative Bayesian classification for data streams with verification latency	4
Complexities of information sources	4
Optimal bandwidth estimators of kernel density functionals for contaminated data	4
Curve fitting and jump detection on nonparametric regression with missing data	4
Spatial analysis for interval-valued data	4
A new regression model for rates and proportions data with applications	4
A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies	4
On the use and misuse of time-rescaling to assess the goodness-of-fit of self-exciting temporal point processes	4
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	3
Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data	3
Pearson's goodness-of-fit tests for sparse distributions	3

Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
A robust and efficient variable selection method for linear regression	3
Confidence intervals and prediction intervals for two-parameter negative binomial distributions	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	3
A multivariate randomized response model for mixed-type data	3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	3
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
Identification of factors impacting on the transmission and mortality of COVID-19	3
Epidemic change-point detection in general integer-valued time series	3
Validation of risk-based quality control techniques: a case study from the automotive industry	3
A principal-weighted penalized regression model and its application in economic modeling	3
Comparison of two statistical methodologies for a binary classification problem of two-dimensional images	3
How reliable are the multiple comparison methods for odds ratio?	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Estimating wildfire ignition probabilities with geographic weighted logistic regression	3
Interval-valued scalar-on-function linear quantile regression based on the bivariate center and radius method	3
Understanding students' evaluations of professors using non-negative matrix factorization	3
Noise-insensitive discriminative subspace fuzzy clustering	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution	3
Wavelet analysis of variance box plot	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
Scalable Bayesian inference for bradley–Terry models with ties: an application to honour based abuse	3
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
Bayesian approaches to variable selection in mixture models with application to disease clustering	2
Imputed mean tensor regression for near-sited spatial temporal data	2
Multiple observers ranked set samples for shrinkage estimators	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
A review and comparison of methods of parameter estimation and inference for heteroskedastic linear regression models	2
Bootstrapping a powerful mixed portmanteau test for time series	2
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance	2
Estimating an executive summary of a time series: the tendency	2
Estimation for time-varying coefficient smoothed quantile regression	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Calibrating a simulated exposure distribution using measurement error models	2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
On parameter estimation of the standard omega distribution	2
Forward variable selection for random forest models	2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	2
The modified slash Lindley–Weibull distribution with applications to nutrition data	2
Model averaging estimation of panel data models with many instruments and boosting	2
Estimation of world seroprevalence of SARS-CoV-2 antibodies	2
Statement of Retraction: A novel alpha power transformed exponential distribution with real-life applications	2
Assessing adult physical activity and compliance with 2008 CDC guidelines using a Bayesian two-part measurement error model	2
Three approaches to supervised learning for compositional data with pairwise logratios	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	2
Derivation of a multivariate longitudinal causal effects model	2
Insurance risk analysis using tempered stable subordinator	2
The Fay–Herriot model for multiply imputed data with an application to regional wealth estimation in Germany	2
Prediction models with graph kernel regularization for network data	2
Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association	2
A survival tree based on stabilized score tests for high-dimensional covariates	2
Statistical inference for a relaxation index of stochastic dominance under density ratio model	2
Semiparametric model averaging prediction in nested case-control studies	2
A Bayesian approach for de-duplication in the presence of relational data	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
Statistical methods for assessing drug interactions using observational data	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Latent trait models for perceived risk assessment using a Covid-19 data survey	2
Finding groups in data: an introduction to cluster analysis Finding groups in data: an introduction to cluster analysis , authored by Leonard Kaufman and Peter J. Rousse	2
Testing the reliability of forecasting systems	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Fast maximum likelihood estimation for general hierarchical models	2
A semiparametric accelerated failure time-based mixture cure tree	2
A methodological proposal to estimate the correlation coefficient under range restriction and clustering	2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	2

Alternative statistical modeling for radical prostatectomy data	2
A family of bimodal distributions generated by distributions with positive support	2
Estimating effects of time-varying exposures on mortality risk	2
Reliability analysis based on doubly-truncated and interval-censored data	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
A generalized l2,p-norm regression based feature selection algorithm	2
A new factor analysis model for factors obeying a Gamma distribution	2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	2
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Confidence intervals for assessing equivalence of two treatments with combined unilateral and bilateral data	1
Variable targeting and reduction in large vector autoregressions with applications to workforce indicators	1
The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models	1
A longitudinal study of the influence of air pollutants on children: a robust multivariate approach	1
Generalised random tessellation stratified sampling over auxiliary spaces	1
A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies	1
Rollout designs for lump-sum data	1
Markov (Set) chains application to predict mortality rates using extended Milevsky–Promislov generalized mortality models	1
Fractional Poisson process for modeling extreme values in financial data using the ABC methodology in parameter estimation	1
An empirical Bayes approach for constructing confidence intervals for clonality and entropy	1
Order selection in GARMA models for count time series: a Bayesian perspective	1
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States	1
Editorial to the special issue: modern streaming data analytics	1
Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset	1
Iterative smoothing for change-point regression function estimation	1
Component selection for exponential power mixture models	1
A supervised weeding method to cluster high dimensional predictors with application to job market analysis	1
A partitioned weighted moving average control chart	1
Optimal Poisson subsampling decorrelated score for high-dimensional generalized linear models	1
Smoothing level selection for density estimators based on the moments	1
Delaying bud-break on pecan trees: a Bayesian longitudinal multinomial regression approach	1
Bayesian semiparametric analysis on the relationship between BMI and income for rural and urban workers in China	1
Estimating software reliability using size-biased modelling	1
Semiparametric partial linear modeling of risk factors for ear infections: the Early Childhood Longitudinal Study	1
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	1
Penalized functional regression using R package PFLR	1
New advances in statistics and data science New advances in statistics and data science , edited by Ding-Geng Chen, Gang Li, Aiyi Liu, Zhezhen Jin, Yi Li and Yichuan Zha	1
Estimating longitudinal biomarker effects using a Lasso-network constrained time-Varying mixed effects model	1
Sensitivity analysis of unmeasured confounding in causal inference based on exponential tilting and super learner	1
Bayesian inference for Laplace distribution based on complete and censored samples with illustrations	1
Factor model for ordinal categorical data with latent factors explained by auxiliary variables applied to the major depression inventory	1
Bootstrap-adjusted quasi-likelihood information criteria for mixed model selection	1
A comparative study of computation approaches of the generalized F-test	1
Goodness-of-fit inference for the additive hazards regression model with clustered current status data	1
Bayes factor testing of equality and order constraints on measures of association in social research	1
Correction Notice	1
Regression-based rectangular tolerance regions as reference regions in laboratory medicine	1
Significance testing of rank cross-correlations between autocorrelated time series with short-range dependence	1
A new class of efficient and debiased two-step shrinkage estimators: method and application	1
Fast inference for robust nonlinear mixed-effects models	1
Dealing with separation or near-to-separation in the model for multinomial response with application to childhood health seeking behavior data from a complex survey	1
Bayesian Markov Chain Monte Carlo for reparameterized Stochastic volatility models using Asian FX rates during Covid-19	1
Bayesian factor selection in a hybrid approach to confirmatory factor analysis	1
Urinary volatile organic compounds (VOCs) based prostate cancer diagnosis via high-dimensional classification	1
Modeling nematode population dynamics using a multivariate poisson model with spike and slab variable selection	1
Sparse regression for low-dimensional time-dynamic varying coefficient models with application to air quality data	1
A unit-level one-inflated beta model for small area prediction of seat-belt use rates	1
Logarithmic confidence estimation of a ratio of binomial proportions for dependent populations	1
Adapting and evaluating deep-pseudo neural network for survival data with time-varying covariates	1
Nonparametric Shiryaev-Roberts change-point detection procedures based on modified empirical likelihood	1
The slashed Lomax distribution: new properties and Mellin-type statistical measures for inference	1
A Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 2010–2014	1
A family of non-parametric tests for the class of log-symmetric distributions	1
On efficiency of locally D -optimal designs under heteroscedasticity and non-Gaussianity	1
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting	1
Upper quantile-based CUSUM-type control chart for detecting small changes in image data	1
Testing exchangeability of multivariate distributions	1
A computationally efficient sequential regression imputation algorithm for multilevel data	1
Rapid online plant leaf area change detection with high-throughput plant image data	1
Towards a unified test for the intercept of autoregressive models	1
Identifying outlying groups through residual analysis and its application to healthcare expenditure	1
On the improved estimation of the normal mixture components for longitudinal data	1
Bayesian fractional polynomial approach to quantile regression and variable selection with application in the analysis of blood pressure among US adults	1
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	1
An efficient estimation approach to joint modeling of longitudinal and survival data	1
The optimal CUSUM control chart with a dynamic non-random control limit and a given sampling strategy for small samples sequence	1
Inference for depending competing risks from Marshall–Olikin bivariate Kies distribution under generalized progressive hybrid censoring	1
Statistical inference for dependent competing risks data under adaptive Type-II progressive hybrid censoring	1
Variable selection in linear-circular regression models	1
A novel group VIF regression for group variable selection with application to multiple change-point detection	1
An optimal subsampling design for large-scale Cox model with censored data	1
A one-sided exponentially weighted moving average control chart for time between events	1
New results on optimal conditional error functions for adaptive two-stage designs	1
Beta-negative binomial nonlinear spatio-temporal random effects modeling of COVID-19 case counts in Japan	1
A flexible test for early-stage studies with multiple endpoints	1
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data	1
A new method for estimating Sharpe ratio function via local maximum likelihood	1
A novel M-Lognormal–Burr regression model with varying threshold for modeling heavy-tailed claim severity data	1
Circular analyses of dates on patients with gastric carcinoma	1
The efficiency of CUSUM schemes for monitoring the multivariate coefficient of variation in short runs process	1
Elastic statistical analysis of interval-valued time series	1
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	1
Inferences for multiple interval type-I censoring scheme	1
Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection	1