Biometrics

Papers
(The median citation count of Biometrics 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test73
Predictively consistent prior effective sample sizes40
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification31
Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes30
Nonparametric variable importance assessment using machine learning techniques30
Estimation of incubation period and generation time based on observed length‐biased epidemic cohort with censoring for COVID‐19 outbreak in China28
Testing small study effects in multivariate meta‐analysis23
Elastic priors to dynamically borrow information from historical data in clinical trials21
Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia20
Variance estimation in inverse probability weighted Cox models20
Inferring UK COVID‐19 fatal infection trajectories from daily mortality data: Were infections already in decline before the UK lockdowns?20
Zero‐inflated Poisson factor model with application to microbiome read counts19
Analysis of noisy survival data with graphical proportional hazards measurement error models18
Horseshoe‐based Bayesian nonparametric estimation of effective population size trajectories15
Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease15
Spatial+: A novel approach to spatial confounding15
A multiple robust propensity score method for longitudinal analysis with intermittent missing data14
Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials14
Improving Trial Generalizability Using Observational Studies14
A class of proportional win‐fractions regression models for composite outcomes14
A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes14
Parametric g‐formula implementations for causal survival analyses14
Semiparametric analysis of clustered interval‐censored survival data using soft Bayesian additive regression trees (SBART)13
Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties12
Bayesian multiple index models for environmental mixtures12
Combining primary cohort data with external aggregate information without assuming comparability12
Sample size formula for general win ratio analysis12
Synthesizing external aggregated information in the presence of population heterogeneity: A penalized empirical likelihood approach12
A pairwise pseudo‐likelihood approach for left‐truncated and interval‐censored data under the Cox model12
Causal mediation of semicompeting risks11
Post‐selection inference for changepoint detection algorithms with application to copy number variation data11
Two‐stage penalized regression screening to detect biomarker–treatment interactions in randomized clinical trials11
Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep11
Compositional knockoff filter for high‐dimensional regression analysis of microbiome data11
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts11
A marginal moment matching approach for fitting endemic‐epidemic models to underreported disease surveillance counts11
On restricted mean time in favor of treatment10
A generalized robust allele‐based genetic association test10
Regularized matrix data clustering and its application to image analysis10
A stacked approach for chained equations multiple imputation incorporating the substantive model10
Spatial factor modeling: A Bayesian matrix‐normal approach for misaligned data10
Nonparametric estimation of Spearman's rank correlation with bivariate survival data9
Sample size considerations for stepped wedge designs with subclusters9
A multiview model for relative and absolute microbial abundances9
Multimodal neuroimaging data integration and pathway analysis9
The impact of misclassification on covariate‐adaptive randomized clinical trials9
A Novel Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization with Applications to COVID-19 Outcomes9
Generalized reliability based on distances9
Modeling sparse longitudinal data on Riemannian manifolds9
Supervised Two-Dimensional Functional Principal Component Analysis with Time-to-Event Outcomes and Mammogram Imaging Data8
Nonparametric matrix response regression with application to brain imaging data analysis8
Sensitivity analyses informed by tests for bias in observational studies8
Nonlinear mediation analysis with high‐dimensional mediators whose causal structure is unknown8
Receiver operating characteristic curves and confidence bands for support vector machines8
Neural Networks for Clustered and Longitudinal Data Using Mixed Effects Models8
Bayesian group selection in logistic regression with application to MRI data analysis8
Bayesian inference of causal effects from observational data in Gaussian graphical models8
Interactive web‐based data visualization with R, plotly, and shiny (Carson Sievert)8
Restricted mean survival time as a function of restriction time8
Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach8
Improving inference for nonlinear state‐space models of animal population dynamics given biased sequential life stage data7
Bayesian group sequential enrichment designs based on adaptive regression of response and survival time on baseline biomarkers7
Bayesian compositional regression with structured priors for microbiome feature selection7
A transformation‐free linear regression for compositional outcomes and predictors7
Bayesian dose regimen assessment in early phase oncology incorporating pharmacokinetics and pharmacodynamics7
Cluster non‐Gaussian functional data7
Weak‐instrument robust tests in two‐sample summary‐data Mendelian randomization7
Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data7
Multivariate survival analysis in big data: A divide‐and‐combine approach7
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang6
General Independent Censoring in Event-Driven Trials with Staggered Entry6
Two robust tools for inference about causal effects with invalid instruments6
A spatial Bayesian latent factor model for image‐on‐image regression6
Joint association and classification analysis of multi‐view data6
Resampling‐based confidence intervals for model‐free robust inference on optimal treatment regimes6
DROID: Dose-Ranging Approach to Optimizing Dose in Oncology Drug Development6
Rejoinder to “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test”6
Discussion on “Nonparametric variable importance assessment using machine learning techniques” by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon6
Jackknife model averaging for high‐dimensional quantile regression6
Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models6
Upper bound estimators of the population size based on ordinal models for capture‐recapture experiments6
Simultaneous variable selection in regression analysis of multivariate interval‐censored data6
Histopathological imaging‐based cancer heterogeneity analysis via penalized fusion with model averaging6
Gaussian graphical model‐based heterogeneity analysis via penalized fusion6
Cross‐component registration for multivariate functional data, with application to growth curves6
A linear mixed model to estimate COVID‐19‐induced excess mortality6
The Generalized Fisher's Combination and Accurate P-Value Calculation under Dependence5
Extracting brain disease‐related connectome subgraphs by adaptive dense subgraph discovery5
Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio5
Restricted function‐on‐function linear regression model5
Design‐based properties of the nearest neighbor spatial interpolator and its bootstrap mean squared error estimator5
Weighted regression analysis to correct for informative monitoring times and confounders in longitudinal studies5
SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale5
Elastic Analysis of Irregularly or Sparsely Sampled Curves5
Information‐incorporated Gaussian graphical model for gene expression data5
Approximate Bayesian inference for case‐crossover models5
Semiparametric estimation of cross‐covariance functions for multivariate random fields5
Bayesian Treatment Screening and Selection Using Subgroup-Specific Utilities of Response and Toxicity5
CASANOVA: Permutation inference in factorial survival designs5
Clustering High-Dimensional Data via Feature Selection5
Instrumental variable estimation of complier causal treatment effect with interval‐censored data5
Testing for Heterogeneity in the Utility of a Surrogate Marker5
Case contamination in electronic health records based case‐control studies5
Estimation of separable direct and indirect effects in continuous time5
Estimating the optimal individualized treatment rule from a cost‐effectiveness perspective5
Penalized Estimation of Frailty-Based Illness–Death Models for Semi-Competing Risks5
Simultaneous feature selection and outlier detection with optimality guarantees5
Sparse linear discriminant analysis for multiview structured data5
The Tukey trend test: Multiplicity adjustment using multiple marginal models5
Adaptive enrichment designs with a continuous biomarker5
Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies5
A latent capture history model for digital aerial surveys5
A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data5
Nonparametric analysis of nonhomogeneous multistate processes with clustered observations5
Power and sample size for observational studies of point exposure effects5
Modelling publication bias and p‐hacking5
Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data4
Nonparametric estimation of the survival distribution under covariate‐induced dependent truncation4
A Bayesian Model with Application for Adaptive Platform Trials Having Temporal Changes4
Multidimensional molecular measurements–environment interaction analysis for disease outcomes4
Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring4
Evaluating multiple surrogate markers with censored data4
Discussion of “Improving precision and power in randomized trials for COVID‐19 treatments using covariate adjustment, for binary, ordinal, and time‐to‐event outcomes”4
Ultra high‐dimensional semiparametric longitudinal data analysis4
Evaluating and improving a matched comparison of antidepressants and bone density4
Flexible link functions in a joint hierarchical Gaussian process model4
Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models4
Joint penalized spline modeling of multivariate longitudinal data, with application to HIV‐1 RNA load levels and CD4 cell counts4
Bayesian spatial homogeneity pursuit for survival data with an application to the SEER respiratory cancer data4
Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses4
Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests4
Robust Bayesian Variable Selection for Gene–Environment Interactions4
A Bayesian Multivariate Mixture Model for High Throughput Spatial Transcriptomics4
Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference4
Multiwave validation sampling for error‐prone electronic health records4
Nonparametric Estimation of the Causal Effect of a Stochastic Threshold-Based Intervention4
Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method4
Combining Observational and Experimental Datasets Using Shrinkage Estimators4
WiSER: Robust and scalable estimation and inference of within‐subject variances from intensive longitudinal data4
A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV4
Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs4
Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders4
Structural factor equation models for causal network construction via directed acyclic mixed graphs4
Spatial correlation structures for detections of individuals in spatial capture–recapture models4
Optimality of testing procedures for survival data in the nonproportional hazards setting4
Evaluation of longitudinal surrogate markers4
Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study4
Quantile regression for survival data with covariates subject to detection limits4
Assessing Exposure-Time Treatment Effect Heterogeneity in Stepped-Wedge Cluster Randomized Trials4
Discussion on “Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test” by Giovanni Nattino, Michael L. Pennell, and Stanley Lemeshow4
Generalized multi‐SNP mediation intersection–union test4
Conditional Inference in Cis-Mendelian Randomization Using Weak Genetic Factors4
Using the “Hidden” genome to improve classification of cancer types4
Double Reduction Estimation and Equilibrium Tests in Natural Autopolyploid Populations4
Automated Analysis of Low-Field Brain MRI in Cerebral Malaria4
Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon4
Penalized Fieller's confidence interval for the ratio of bivariate normal means4
Cox regression model under dependent truncation4
Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data3
Nonparametric Inference of General While-Alive Estimands for Recurrent Events3
Parameter estimation for discretely observed linear birth‐and‐death processes3
Efficient and Robust Methods for Causally Interpretable Meta-Analysis: Transporting Inferences from Multiple Randomized Trials to a Target Population3
Discussion on “Testing small study effects in multivariate meta‐analysis” by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E. Kimmel, and Yong Chen3
Bayesian Sample Size Determination Using Commensurate Priors to Leverage Preexperimental Data3
A Formal Causal Interpretation of the Case-Crossover Design3
Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang3
New multivariate tests for assessing covariate balance in matched observational studies3
Nonparametric trend estimation in functional time series with application to annual mortality rates3
Prioritizing Candidate Peptides for Cancer Vaccines Through Predicting Peptide Presentation by HLA-I Proteins3
Simultaneous confidence intervals for ranks with application to ranking institutions3
Hierarchical cancer heterogeneity analysis based on histopathological imaging features3
Two‐group Poisson‐Dirichlet mixtures for multiple testing3
SAM: Self-Adapting Mixture Prior to Dynamically Borrow Information from Historical Data in Clinical Trials3
A Joint Fairness Model with Applications to Risk Predictions for Underrepresented Populations3
Model-Based Clustering of High-Dimensional Longitudinal Data via Regularization3
Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model3
Identifying Alert Concentrations Using a Model-Based Bootstrap Approach3
Power Analysis for Cluster Randomized Trials with Continuous Coprimary Endpoints3
Retrospective versus prospective score tests for genetic association with case‐control data3
Detecting the Spatial Clustering of Exposure–Response Relationships with Estimation Error: A Novel Spatial Scan Statistic3
EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis3
Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort3
Simulation‐based estimators of analytically intractable causal effects3
A matching procedure for sequential experiments that iteratively learns which covariates improve power3
Robust Functional Principal Component Analysis via a Functional Pairwise Spatial Sign Operator3
Structural Cumulative Survival Models for Estimation of Treatment Effects Accounting for Treatment Switching in Randomized Experiments3
Continuous Time-Interaction Processes for Population Size Estimation, with an Application to Drug Dealing in Italy3
Bayesian Inference for Stationary Points in Gaussian Process Regression Models for Event-Related Potentials Analysis3
Design Considerations for Two-Stage Enrichment Clinical Trials3
A kernel regression model for panel count data with nonparametric covariate functions3
Integration of survival data from multiple studies3
A closed max‐t test for multiple comparisons of areas under the ROC curve3
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis3
Child mortality estimation incorporating summary birth history data3
Improving efficiency of inference in clinical trials with external control data3
Simultaneous estimation of cluster number and feature sparsity in high‐dimensional cluster analysis3
Another look at regression analysis using ranked set samples with application to an osteoporosis study3
Spatial regression and spillover effects in cluster randomized trials with count outcomes3
Meta‐analysis: Methods for health and experimental studies: ShahjahanKhanSpringerNature Singapore Pte. Ltd. 2020. pp. 2933
It's All Relative: Regression Analysis with Compositional Predictors3
Brain connectivity alteration detection via matrix‐variate differential network model3
Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach3
Flexible use of copula‐type model for dose‐finding in drug combination clinical trials3
A model for analyzing clustered occurrence data3
A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI3
Debiased lasso for generalized linear models with a diverging number of covariates3
Random effects models of lymph node metastases in breast cancer: quantifying the roles of covariates and screening using a continuous growth model3
Tractable Bayes of Skew-Elliptical Link Models for Correlated Binary Data2
Robust Approach to Combining Multiple Markers to Improve Surrogacy2
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A General Framework of Nonparametric Feature Selection in High-Dimensional Data2
Posttreatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and a Novel Solution via Sensitivity Analysis2
Functional additive models for optimizing individualized treatment rules2
Discussion on “Predictively consistent prior effective sample sizes,” by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan2
Re‐calibrating pure risk integrating individual data from two‐phase studies with external summary statistics2
Modeling dynamic correlation in zero‐inflated bivariate count data with applications to single‐cell RNA sequencing data2
Discussion on “distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo2
Imputation-Based Q-Learning for Optimizing Dynamic Treatment Regimes with Right-Censored Survival Outcome2
Exact-Corrected Confidence Interval for Risk Difference in Noninferiority Binomial Trials2
Poisson PCA: Poisson measurement error corrected PCA, with application to microbiome data2
A Bayesian multivariate mixture model for skewed longitudinal data with intermittent missing observations: An application to infant motor development2
Transporting stochastic direct and indirect effects to new populations2
A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes2
Biased estimation with shared parameter models in the presence of competing dropout mechanisms2
Interim monitoring in sequential multiple assignment randomized trials2
Integrative analysis of multiple case‐control studies2
Additive Subdistribution Hazards Regression for Competing Risks Data in Case-Cohort Studies2
Determination and estimation of optimal quarantine duration for infectious diseases with application to data analysis of COVID‐192
Screening Methods for Linear Errors-in-Variables Models in High Dimensions2
Addressing patient heterogeneity in disease predictive model development2
Regression with interval‐censored covariates: Application to cross‐sectional incidence estimation2
Iterated multisource exchangeability models for individualized inference with an application to mobile sensor data2
Human disease clinical treatment network for the elderly: analysis of the medicare inpatient length of stay and readmission data2
Estimating Tree-Based Dynamic Treatment Regimes Using Observational Data with Restricted Treatment Sequences2
Simultaneous spatial smoothing and outlier detection using penalized regression, with application to childhood obesity surveillance from electronic health records2
On using electronic health records to improve optimal treatment rules in randomized trials2
Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction2
Maximum likelihood abundance estimation from capture‐recapture data when covariates are missing at random2
Bayesian Spatiotemporal Modeling on Complex-Valued fMri Signals via Kernel Convolutions2
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Information Criteria for Detecting Change-Points in the Cox Proportional Hazards Model2
Dynamic logistic state space prediction model for clinical decision making2
Inverse probability weighted estimators of vaccine effects accommodating partial interference and censoring2
Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy2
Increasing Efficiency and Reducing Bias When Assessing HPV Vaccination Efficacy by Using Nontargeted HPV Strains2
Variable Selection in Regression-Based Estimation of Dynamic Treatment Regimes2
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing2
Estimation of Time-Specific Intervention Effects on Continuously Distributed Time-to-Event Outcomes by Targeted Maximum Likelihood Estimation2
Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda2
Testing tumors from different anatomic sites for clonal relatedness using somatic mutation data2
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