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Immunoinformatics and Molecular Docking Studies Predicted Potential Multiepitope-Based Peptide Vaccine and Novel Compounds against Novel SARS-CoV-2 through Virtual Screening

Power formulas for mixed effects models with random slope and intercept comparing rate of change across groups

Effects of covariates on alternating recurrent events in accelerated failure time models

Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models

Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up

Targeted design for adaptive clinical trials via semiparametric model

Causal mediation analysis in presence of multiple mediators uncausally related

Marginal quantile regression for longitudinal data analysis in the presence of time-dependent covariates

Seemingly unrelated regression with measurement error: estimation via Markov Chain Monte Carlo and mean field variational Bayes approximation

Summarizing causal differences in survival curves in the presence of unmeasured confounding

Co-localization analysis in fluorescence microscopy via maximum entropy copula

Integrative analysis with a system of semiparametric projection non-linear regression models

Alternatives to the Kaplan-Meier estimator of progression-free survival

Modelling ethnic differences in the distribution of insulin resistance via Bayesian nonparametric processes: an application to the SABRE cohort study

Two-stage receiver operating-characteristic curve estimator for cohort studies

A machine learning-based approach for estimating and testing associations with multivariate outcomes

Derivation of Passing-Bablok regression from Kendall's tau

An extended trivariate vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable outcomes

Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator

Shrinkage estimation applied to a semi-nonparametric regression model

Estimating the area under a receiver operating characteristic curve using partially ordered sets

Model-based random forests for ordinal regression

Multivariate quasi-beta regression models for continuous bounded data

GAMLSS for high-variability data: an application to liver fibrosis case

Direct effect and indirect effect on an outcome under nonlinear modeling

An iterative algorithm for joint covariate and random effect selection in mixed effects models

Variable selection for high-dimensional quadratic Cox model with application to Alzheimer's disease

Inference for the Analysis of Ordinal Data with Spatio-Temporal Models

A Parametric Bootstrap for the Mean Measure of Divergence

Efficient Nonparametric Causal Inference with Missing Exposure Information

Super Learner for Survival Data Prediction

A Bayesian Framework for Robust Quantitative Trait Locus Mapping and Outlier Detection

Incorporating Contact Network Uncertainty in Individual Level Models of Infectious Disease using Approximate Bayesian Computation

Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)

Bayesian Nonparametrics and Biostatistics: The Case of PET Imaging

Bayesian Autoregressive Frailty Models for Inference in Recurrent Events

Biostatistics in Africa 2019: A Special Issue of The International Journal of Biostatistics

Exploration of Heterogeneous Treatment Effects via Concave Fusion

On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging

Multinomial Logistic Model for Coinfection Diagnosis Between Arbovirus and Malaria in Kedougou

Bayesian Detection of Piecewise Linear Trends in Replicated Time-Series with Application to Growth Data Modelling

Bayesian Two-Stage Adaptive Design in Bioequivalence

Simultaneous Inference of Treatment Effect Modification by Intermediate Response Endpoint Principal Strata with Application to Vaccine Trials

Computationally Stable Estimation Procedure for the Multivariate Linear Mixed-Effect Model and Application to Malaria Public Health Problem

Simple Quasi-Bayes Approach for Modeling Mean Medical Costs

Second Order Segmented Polynomials for Syphilis and Gonorrhea Prevalence and Incidence Trends Estimation: Application to Spectrum's Guinea-Bissau and South Africa Data

Semiparametric Inference for Proportional Mean Past Life Model

A Law of Large Numbers in the Supremum Norm for a Multiscale Stochastic Spatial Gene Network

Double Poisson-Tweedie Regression Models

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners