Statistics in Medicine

Papers
(The median citation count of Statistics in Medicine 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 2021-06-01 to 2025-06-01.)
ArticleCitations
373
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Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies48
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior44
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Optimal confidence intervals for the relative risk and odds ratio42
Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model40
Robustness of κ‐type coefficients for clinical agreement40
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures38
Real time monitoring and prediction of time to endpoint maturation in clinical trials36
Estimands for factorial trials35
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs34
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm33
Synthesizing studies for comparing different treatment sequences in clinical trials32
Network and covariate adjusted response‐adaptive design for binary response31
Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: A simulation study30
Data fusion for predicting long‐term program impacts30
Bayesian mixture modelling with ranked set samples28
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index27
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model27
Improving main analysis by borrowing information from auxiliary data26
Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances25
Balancing versus modelling in weighted analysis of non‐randomised studies with survival outcomes: A simulation study23
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints22
Discussion on “Is group testing ready for prime‐time in disease identification”22
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach21
Transportability of model‐based estimands in evidence synthesis21
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule20
Bayesian additive regression trees for multivariate skewed responses20
A simulation study of disaggregation regression for spatial disease mapping20
The Whys, Whens, and Hows of Futility Monitoring20
The polytomous discrimination index for prediction involving multistate processes under intermittent observation20
Dynamic Single‐Index Scalar‐On‐Function Model19
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”19
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology18
On the parameter estimation of Box‐Cox transformation cure model18
Bayesian model‐averaged meta‐analysis in medicine18
Incorporating survival data into case‐control studies with incident and prevalent cases18
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Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models17
Regression Trees With Fused Leaves17
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Estimating contact network properties by integrating multiple data sources associated with infectious diseases16
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries16
Model‐assisted analyses of longitudinal, ordinal outcomes with absorbing states16
Weighted McNemar's test for the comparison of two screening tests in the presence of verification bias16
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival16
Multiple multi‐sample testing under arbitrary covariance dependency16
Relative sparsity for medical decision problems15
Instrumental variable model average with applications in Mendelian randomization15
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data15
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure14
Sensitivity analysis of G‐estimators to invalid instrumental variables14
Covariate adjustment in randomized clinical trials with missing covariate and outcome data14
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
Information‐incorporated sparse hierarchical cancer heterogeneity analysis13
Modeling intra‐individual inter‐trial EEG response variability in autism13
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart13
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine13
A multivariate statistical approach to predict COVID‐19 count data with epidemiological interpretation and uncertainty quantification13
Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome13
Finding the best subgroup with differential treatment effect with multiple outcomes13
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome13
Nonparametric empirical Bayes biomarker imputation and estimation13
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model13
A systematic review and evaluation of statistical methods for group variable selection13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system12
IDNetwork: A deep illness‐death network based on multi‐state event history process for disease prognostication12
Quantile partially linear additive model for data with dropouts and an application to modeling cognitive decline12
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score12
Optimal adaptive allocation using deep reinforcement learning in a dose‐response study12
A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments12
Standardization and other approaches to meta‐analyze differences in means12
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment12
Variable selection for censored data using Modified Correlation Adjusted coRrelation (MCAR) scores12
Multilevel Longitudinal Functional Principal Component Model12
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies12
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight12
A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine11
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Joint regression modelling of intensity and timing of accelerometer counts11
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Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions11
Obituary: Anthony Leonard Johnson (1943‐2022)11
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Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome11
Bayesian sensitivity analyses for longitudinal data with dropouts that are potentially missing not at random: A high dimensional pattern‐mixture model10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations10
Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model10
Group sequential designs for clinical trials when the maximum sample size is uncertain10
Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 06710
Optimal weighted Bonferroni tests and their graphical extensions10
Local false discovery rate estimation with competition‐based procedures for variable selection10
Leveraging real‐world evidence for determining performance goals for medical device studies10
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data10
Analysis of composite endpoints with component‐wise censoring in the presence of differential visit schedules10
Flexible propensity score estimation strategies for clustered data in observational studies10
Modeling conditional reference regions: Application to glycemic markers10
Handling missing within‐study correlations in the evaluation of surrogate endpoints10
Understanding an impact of patient enrollment pattern on predictability of central (unstratified) randomization in a multi‐center clinical trial10
An information‐theoretic approach for the assessment of a continuous outcome as a surrogate for a binary true endpoint based on causal inference: Application to vaccine evaluation10
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity10
Propensity score analysis with local balance9
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals9
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New methods for multiple testing in permutation inference for the general linear model9
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows9
Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates9
Structured time‐dependent inverse regression (STIR)9
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making9
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome9
Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model9
A tractable Bayesian joint model for longitudinal and survival data9
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies9
Flexible template matching for observational study design9
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Association analysis of self‐reported outcomes with a validated subset9
Complex survival trial design by the product integration method9
Correction to “Using principal stratification in analysis of clinical trials”9
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Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation8
Peter Armitage speaking on the occasion of the 50th Anniversary of the M.Sc. in Medical Statistics, LSHTM (for the Symposium on April 11‐12, 2019)8
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Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model8
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards8
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection8
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Robust inference for causal mediation analysis of recurrent event data8
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures8
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The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints8
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases8
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies8
A function‐based approach to model the measurement error in wearable devices8
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A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time8
Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data8
A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data8
Mixed‐type multivariate response regression with covariance estimation8
Minimization in randomized clinical trials7
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A penalization approach to random‐effects meta‐analysis7
Multi‐threshold proportional hazards model and subgroup identification7
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding7
Sample size determination for prediction models via learning‐type curves7
Comparing the sensitivities of two screening tests in nonblinded randomized paired screen‐positive trials with differential screening uptake7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration7
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis7
Scaled average bioequivalence methods for highly variable drugs: Leveling‐off soft limits and the EMA's 2010 guideline (some ways to improve its type I error control)7
Sample size adaptations and evaluation of pediatric study interpretability7
A sequential, multiple assignment, randomized trial design with a tailoring function7
Statistical inference for time‐to‐event data in non‐randomized cohorts with selective attrition7
Confidence intervals for odds ratio from multistage randomized phase II trials7
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures7
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies7
A classification for complex imbalanced data in disease screening and early diagnosis7
A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies7
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints7
Weighted generalized estimating equations and unified estimation for longitudinal data with nonmonotone missing data patterns7
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths7
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing7
Causal inference methods for vaccine sieve analysis with effect modification7
Robust structured heterogeneity analysis approach for high‐dimensional data7
Federated causal inference in heterogeneous observational data7
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs6
Survival mediation analysis with the death‐truncated mediator: The completeness of the survival mediation parameter6
Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
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Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression6
Set‐regression with applications to subgroup analysis6
Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic6
A comparison of different methods to adjust survival curves for confounders6
Optimal allocation in stratified cluster‐based outcome‐dependent sampling designs6
Assessing heterogeneity in surrogacy using censored data6
Fast estimation of mixed‐effects location‐scale regression models6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data6
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models6
Using population crossover trials to improve the decision process regarding treatment individualization in N‐of‐1 trials6
A Novel Bayesian Spatio‐Temporal Surveillance Metric to Predict Emerging Infectious Disease Areas of High Disease Risk6
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships6
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Approximate likelihood‐based estimation method of multiple‐type pathogen interactions: An application to longitudinal pneumococcal carriage data6
Measurement errors in control risk regression: A comparison of correction techniques6
Synthesizing external aggregated information in the penalized Cox regression under population heterogeneity6
Using a mixed‐effect model with a parameter‐space of heterogenous dimension to evaluate whether accountable care organizations are associated with greater uniformity across constituent practices6
Fitting additive risk models using auxiliary information6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
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Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy6
Properties of the full random‐effect modeling approach with missing covariate data6
Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors6
Matching‐Assisted Power Prior for Incorporating Real‐World Data in Randomized Clinical Trial Analysis6
Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial6
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A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity6
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation6
Robust analysis of cancer heterogeneity for high‐dimensional data6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data6
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Allocation in platform trials to maintain comparability across time and eligibility6
Improving the Effectiveness of Sample Size Re‐Estimation: An Operating Characteristic Focused, Hybrid Frequentist‐Bayesian Approach5
Robust group variable screening based on maximum Lq‐likelihood estimation5
Spatial modeling of epidermal nerve fiber patterns5
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Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities5
Individualized empirical null estimation for exact tests of healthcare quality5
Issues with the expected information matrix of linear mixed models provided by popular statistical packages under missingness at random dropout5
Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study5
Correction to “DL 101: Basic Introduction to Deep Learning With Its Application in Biomedical Related Fields”5
A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data5
Bayesian spatial models for voxel‐wise prostate cancer classification using multi‐parametric magnetic resonance imaging data5
Two‐stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis5
Cluster randomized trial designs for modeling time‐varying intervention effects5
Nonparametric estimation of marked survival data in the presence of dependent censoring5
Comparisons of statistical methods for handling attrition in a follow‐up visit with complex survey sampling5
Event‐specific win ratios for inference with terminal and non‐terminal events5
Estimating Mean Viral Load Trajectory From Intermittent Longitudinal Data and Unknown Time Origins5
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Use of likelihood estimates for variances for the design and evaluation of multiregional clinical trials with heterogeneous variances5
Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model5
Overall assessment for selected markers from high‐throughput data5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials5
Designing a longitudinal clinical trial based on a composite endpoint: Sample size, monitoring, and adaptation5
Testing a global null hypothesis using ensemble machine learning methods5
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