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	41
The efficient design of Nested Group Testing algorithms for disease identification in clustered data	29
Shrinkage estimation of fixed and random effects in linear quantile mixed models	28
Multicriteria decision frontiers for prescription anomaly detection over time	28
Heteroscedastic partially linear model under skew-normal distribution with application in ragweed pollen concentration	24
Nonparametric estimation of mean residual lifetime in ranked set sampling with a concomitant variable	23
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19	21
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test	20
Tests of covariate effects under finite Gaussian mixture regression models	19
A defective cure rate quantile regression model for male breast cancer data	18
Statistical methods for dynamic disease screening and spatio-temporal disease surveillance	18
KCBC – a correlation-based method for co-localization analysis of super-resolution microscopy images using bivariate Ripley's K functions	18
Spatio-temporal modeling of traffic accidents incidence on urban road networks based on an explicit network triangulation	17
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	16
Efficient fully Bayesian approach to brain activity mapping with complex-valued fMRI data	15
Estimation procedures and optimal censoring schemes for an improved adaptive progressively type-II censored Weibull distribution	15
A non-linear integer-valued autoregressive model with zero-inflated data series	15
Personalized treatment selection using observational data	14
A resample-replace lasso procedure for combining high-dimensional markers with limit of detection	12
A control chart for bivariate discrete data monitoring	12
Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data	11
Geometric framework for statistical analysis of eye tracking heat maps, with application to a tobacco waterpipe study	11
Comparing and integrating US COVID-19 data from multiple sources with anomaly detection and repairing	10

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

A principal-weighted penalized regression model and its application in economic modeling	4
Validation of risk-based quality control techniques: a case study from the automotive industry	4
Comparing heart PET scans: an adjustment of Kolmogorov-Smirnov test under spatial autocorrelation	4
Identification of factors impacting on the transmission and mortality of COVID-19	3
A family of bimodal distributions generated by distributions with positive support	3
Type-II progressive censoring with GLM-based random removal mechanism dependent on the experimental conditions	3
Alternative classification rules for two inverse gaussian populations with a common mean and order restricted scale-like parameters	3
Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs	3
Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data	3
Bootstrapping a powerful mixed portmanteau test for time series	3
A multivariate randomized response model for mixed-type data	3
Joint modelling of longitudinal measurements and survival times via a multivariate copula approach	3
How reliable are the multiple comparison methods for odds ratio?	3
Alternative statistical modeling for radical prostatectomy data	3
Spatiotemporal nonhomogeneous poisson model with a seasonal component applied to the analysis of extreme rainfall	3
Bayesian approaches to variable selection in mixture models with application to disease clustering	3
Fast maximum likelihood estimation for general hierarchical models	3
Bias-corrected estimators for proportion of true null hypotheses: application of adaptive FDR-controlling in segmented failure data	3
Marginalized LASSO in the low-dimensional difference-based partially linear model for variable selection	3
Epidemic change-point detection in general integer-valued time series	3
Wavelet analysis of variance box plot	3
Estimating an executive summary of a time series: the tendency	3
Bayesian extension of the Weibull AFT shared frailty model with generalized family of distributions for enhanced survival analysis using censored data	3
Finding the tail of a distribution: analysis of a method based on the coefficient of variation	3
A robust and efficient variable selection method for linear regression	3
Pearson's goodness-of-fit tests for sparse distributions	3
Modeling the spatial patterns of antenatal care utilization in Nigeria with inference based on Pólya-Gamma mixtures	3
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	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
A class of infinite number of unbiased estimators using weighted squared distance for two-deck randomized response model	3
Testing the reliability of forecasting systems	3
Multivariate meta-analysis with a robustified diagonal likelihood function	3
Three approaches to supervised learning for compositional data with pairwise logratios	3
Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution	3
Noise-insensitive discriminative subspace fuzzy clustering	3
Observed heterogeneity in players' football performance analysis using PLS-PM	3
Mixed Lasso estimator for stochastic restricted regression models	2
The Kendall interaction filter for variable interaction screening in high dimensional classification problems	2
The modified slash Lindley–Weibull distribution with applications to nutrition data	2
Bayesian parametric estimation based on left-truncated competing risks data under bivariate Clayton copula models	2
A Bayesian approach for de-duplication in the presence of relational data	2
Model averaging estimation of panel data models with many instruments and boosting	2
A novel two-way functional linear model with applications in human mortality data analysis	2
Multiresolution granger causality testing with variational mode decomposition: a python software	2
Editorial to the special issue: Recent statistical methods for data analysis, applied economics, business & finance	2
Phase II control charts for monitoring the depth-ratio of ball-bearings involving three normal variables	2
Joint modeling of correlated binary outcomes using multivariate logistic regression: contraception and HIV knowledge in Sri Lanka	2
Clustering regions with dynamic time warping to model obesity prevalence disparities in the United States	2
LPRE estimation for functional multiplicative model and optimal subsampling	2
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting	2
A survival tree based on stabilized score tests for high-dimensional covariates	2
A generalized l2,p-norm regression based feature selection algorithm	2
An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR	2
Semiparametric model averaging prediction in nested case-control studies	2
New insights into multicollinearity in the Cox proportional hazard models: the Kibria-Lukman estimator and its application	2
COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States	2
Bayesian models for spatial count data with informative finite populations with application to the American community survey	2
GWR-assisted integrated estimator of finite population total under two-phase sampling: a model-assisted approach	2
Investigating zero-state and steady-state performance of MEWMA-CoDa control chart using variable sampling interval	2
A hierarchical Bayesian analysis for bivariate Weibull distribution under left-censoring scheme	2
Statistical methods for assessing drug interactions using observational data	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
The Fay–Herriot model for multiply imputed data with an application to regional wealth estimation in Germany	2
A more powerful test for three-arm non-inferiority via risk difference: Frequentist and Bayesian approaches	2
Estimating effects of time-varying exposures on mortality risk	2
Goodness-of-fit inference for the additive hazards regression model with clustered current status data	2
A semiparametric accelerated failure time-based mixture cure tree	2
Variable selection for quantile autoregressive model: Bayesian methods versus classical methods	2
Calibrating a simulated exposure distribution using measurement error models	2
Addressing overdispersion and zero-inflation for clustered count data via new multilevel heterogenous hurdle models	2
Applications of monitoring and tracing the evolution of clustering solutions in dynamic datasets	2
Reliability analysis based on doubly-truncated and interval-censored data	2
A new factor analysis model for factors obeying a Gamma distribution	2
Multiple observers ranked set samples for shrinkage estimators	2
Statistical inference for a relaxation index of stochastic dominance under density ratio model	2
Post-shrinkage strategies in statistical and machine learning for high dimensional data	2
Intrinsic spherical smoothing method based on generalized Bézier curves and sparsity inducing penalization	2

Estimation for two Gompertz populations under a balanced joint progressive Type-II censoring scheme	2
A novel network architecture combining central-peripheral deviation with image-based convolutional neural networks for diffusion tensor imaging studies	2
Forward variable selection for random forest models	2
Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function	2
Bimodality in reentry latitude predictions for spacecraft in prograde orbits	2
Estimation for time-varying coefficient smoothed quantile regression	2
Imputed mean tensor regression for near-sited spatial temporal data	2
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	2
Inferential procedures based on the weighted Pearson correlation coefficient test statistic	2
Inferences for multiple interval type-I censoring scheme	2
Reparametrized generalized gamma partially linear regression with application to breast cancer data	2
Derivation of a multivariate longitudinal causal effects model	2
Prediction models with graph kernel regularization for network data	2
A bootstrap procedure to estimate the causal effect of a public policy, considering overlap and imperfect compliance	2
Latent trait models for perceived risk assessment using a Covid-19 data survey	2
Dimension-wise sparse low-rank approximation of a matrix with application to variable selection in high-dimensional integrative analyzes of association	2
On parameter estimation of the standard omega distribution	2