Statistics in Medicine

Papers
(The TQCC of Statistics in Medicine is 3. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
386
134
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Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies95
Incorporating survival data into case‐control studies with incident and prevalent cases62
Robustness of κ‐type coefficients for clinical agreement54
Transportability of model‐based estimands in evidence synthesis52
A simulation study of disaggregation regression for spatial disease mapping48
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On the parameter estimation of Box‐Cox transformation cure model44
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Optimal confidence intervals for the relative risk and odds ratio40
Handling parametric assumptions in principal causal effect estimation using Gaussian mixtures40
Tracking the transmission dynamics of COVID‐19 with a time‐varying coefficient state‐space model40
Real time monitoring and prediction of time to endpoint maturation in clinical trials36
Estimands for factorial trials35
Classification of disease recurrence using transition likelihoods with expectation‐maximization algorithm34
Synthesizing studies for comparing different treatment sequences in clinical trials33
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 study31
Bayesian mixture modelling with ranked set samples30
Leveraging External Aggregated Information for the Marginal Accelerated Failure Time Model29
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 study24
Data fusion for predicting long‐term program impacts24
Semiparametric multivariate joint model for skewed‐longitudinal and survival data: A Bayesian approach24
Bayesian Safety and Futility Monitoring in Phase II Trials Using One Utility‐Based Rule22
The polytomous discrimination index for prediction involving multistate processes under intermittent observation22
Generalized additive models to analyze nonlinear trends in biomedical longitudinal data using R: Beyond repeated measures ANOVA and linear mixed models22
Bayesian additive regression trees for multivariate skewed responses21
BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints20
Dose finding studies for therapies with late‐onset toxicities: A comparison study of designs20
Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index20
The Whys, Whens, and Hows of Futility Monitoring19
Multi‐Study Factor Regression Model: An Application in Nutritional Epidemiology19
Issue Information18
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Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”17
Bayesian Borrowing With Multiple Heterogeneous Historical Studies Using Order Restricted Normalized Power Prior17
Regression Trees With Fused Leaves16
Dynamic Single‐Index Scalar‐On‐Function Model16
Confidence Intervals for AUC and pAUC by Empirical Likelihood16
A Hierarchical Bayesian Model for Estimating Age‐Specific COVID‐19 Infection Fatality Rates in Developing Countries16
Bayesian model‐averaged meta‐analysis in medicine16
Kernel Cox partially linear regression: Building predictive models for cancer patients' survival15
Weighted McNemar's test for the comparison of two screening tests in the presence of verification bias15
Model‐assisted analyses of longitudinal, ordinal outcomes with absorbing states15
Finding the best subgroup with differential treatment effect with multiple outcomes14
A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure14
Estimating contact network properties by integrating multiple data sources associated with infectious diseases14
Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults14
Multilevel joint model of longitudinal continuous and binary outcomes for hierarchically structured data14
Multiple multi‐sample testing under arbitrary covariance dependency14
Sensitivity analysis of G‐estimators to invalid instrumental variables14
Instrumental variable model average with applications in Mendelian randomization14
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
Distribution–free hyperrectangular tolerance regions for setting multivariate reference regions in laboratory medicine13
Information‐incorporated sparse hierarchical cancer heterogeneity analysis13
A Bayesian method to detect drug‐drug interaction using external information for spontaneous reporting system13
Modeling variation in mixture effects over space with a Bayesian spatially varying mixture model13
Modeling intra‐individual inter‐trial EEG response variability in autism13
Nonparametric empirical Bayes biomarker imputation and estimation13
Adjusted closed‐form confidence interval formulas for network meta‐analysis with a small number of studies13
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
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects12
Multilevel Longitudinal Functional Principal Component Model12
A shared‐parameter location‐scale mixed model to link the responsivity in self‐initiated event reports and the event‐contingent Ecological Momentary Assessments12
An inverse probability weighted regression method that accounts for right‐censoring for causal inference with multiple treatments and a binary outcome12
A two‐stage group‐sequential design for delayed treatment responses with the possibility of trial restart12
Asymptotic Confidence Interval, Sample Size Formulas and Comparison Test for the Agreement Intra‐Class Correlation Coefficient in Inter‐Rater Reliability Studies12
A systematic review and evaluation of statistical methods for group variable selection12
Covariate adjustment in randomized clinical trials with missing covariate and outcome data12
Issue Information11
Optimal adaptive allocation using deep reinforcement learning in a dose‐response study11
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Standardization and other approaches to meta‐analyze differences in means11
Relative sparsity for medical decision problems11
Adjusted Nelson–Aalen Estimators by Inverse Treatment Probability Weighting With an Estimated Propensity Score11
Non‐Parametric Estimation for Semi‐Competing Risks Data With Event Misascertainment11
Outlier Detection in Mendelian Randomization11
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A Biomarker Signature‐Guided Clinical Trial Design for Precision Medicine11
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight11
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Group sequential designs for clinical trials when the maximum sample size is uncertain10
Analysis of composite endpoints with component‐wise censoring in the presence of differential visit schedules10
A Brief Introduction on Latent Variable Based Ordinal Regression Models With an Application to Survey Data10
Modeling conditional reference regions: Application to glycemic markers10
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
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
Local false discovery rate estimation with competition‐based procedures for variable selection10
Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions10
Joint regression modelling of intensity and timing of accelerometer counts10
BHAFT: Bayesian heredity‐constrained accelerated failure time models for detecting gene‐environment interactions in survival analysis10
Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity10
Leveraging real‐world evidence for determining performance goals for medical device studies10
Variability in Causal Effects and Noncompliance in a Multisite Trial: A Bivariate Hierarchical Generalized Random Coefficients Model for a Binary Outcome10
Obituary: Anthony Leonard Johnson (1943‐2022)10
Flexible template matching for observational study design9
Correction to “Using principal stratification in analysis of clinical trials”9
Subgroup Testing in the Change‐Plane Cox Model9
New methods for multiple testing in permutation inference for the general linear model9
Complex survival trial design by the product integration method9
Distribution‐free model selection for longitudinal zero‐inflated count data with missing responses and covariates9
Propensity score analysis with local balance9
Q‐Learning in Dynamic Treatment Regimes With Misclassified Binary Outcome9
Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 0679
Robust inference for causal mediation analysis of recurrent event data9
Flexible propensity score estimation strategies for clustered data in observational studies9
Structured time‐dependent inverse regression (STIR)9
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Estimating mixture effects and cumulative spatial risk over time simultaneously using a Bayesian index low‐rank kriging multiple membership model9
Association analysis of self‐reported outcomes with a validated subset9
A non‐parametric Bayesian approach for adjusting partial compliance in sequential decision making9
Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations9
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Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy8
Optimal weighted Bonferroni tests and their graphical extensions8
Bland–Altman Plot for Censored Variables8
The impact of correlated exposures and missing data on multiple informant models used to identify critical exposure windows8
Frequentist Grouped Weighted Quantile Sum Regression for Correlated Chemical Mixtures8
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Unlocking Cognitive Analysis Potential in Alzheimer's Disease Clinical Trials: Investigating Hierarchical Linear Models for Analyzing Novel Measurement Burst Design Data8
MERIT: Controlling Monte‐Carlo error rate in large‐scale Monte‐Carlo hypothesis testing8
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Issue Information8
Penalized smoothing splines resolve the curvature identifiability problem in age‐period‐cohort models with unequal intervals8
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment8
Transfer Learning for Error‐Contaminated Poisson Regression Models8
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
Multi‐threshold proportional hazards model and subgroup identification8
Causal inference methods for vaccine sieve analysis with effect modification8
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Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model8
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Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation8
Choosing clinically interpretable summary measures and robust analytic procedures for quantifying the treatment difference in comparative clinical studies8
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A function‐based approach to model the measurement error in wearable devices8
Mixed‐type multivariate response regression with covariance estimation7
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A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards7
Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model7
Sample size determination for prediction models via learning‐type curves7
Saddlepoint approximations to score test statistics in logistic regression for analyzing genome‐wide association studies7
Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator‐outcome confounding and intermediate confounding7
Blinded sample size re‐estimation for comparing over‐dispersed count data incorporating follow‐up lengths7
Weighted generalized estimating equations and unified estimation for longitudinal data with nonmonotone missing data patterns7
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
Comparing the sensitivities of two screening tests in nonblinded randomized paired screen‐positive trials with differential screening uptake7
Statistical Inference for a Two‐Stage Adaptive Seamless Design Using Different Binary Endpoints7
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A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data7
On GEE for Mean‐Variance‐Correlation Models: Variance Estimation and Model Selection7
The Win Ratio Approach in Bayesian Monitoring for Two‐Arm Phase II Clinical Trial Designs With Multiple Time‐To‐Event Endpoints7
Confidence intervals for odds ratio from multistage randomized phase II trials7
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
Robust structured heterogeneity analysis approach for high‐dimensional data7
Accounting for publication bias using a bivariate trim and fill meta‐analysis procedure7
Issue Information7
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Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies7
A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito‐Borne Diseases7
A distribution‐free procedure for testing versatile alternative in medical multisample comparison studies7
Depthgram: Visualizing outliers in high‐dimensional functional data with application to fMRI data exploration7
A classification for complex imbalanced data in disease screening and early diagnosis7
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures7
A nonparametric simultaneous confidence band for biomarker effect on the restricted mean survival time7
Minimization in randomized clinical trials7
Properties of the full random‐effect modeling approach with missing covariate data6
A Bayesian non‐stationary heteroskedastic time series model for multivariate critical care data6
Set‐regression with applications to subgroup analysis6
Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity6
Measurement errors in control risk regression: A comparison of correction techniques6
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Reinforced Borrowing Framework: Leveraging Auxiliary Data for Individualized Inference6
Multiple imputation approaches for handling incomplete three‐level data with time‐varying cluster‐memberships6
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks6
Issue Information6
A proper statistical inference framework to compare clinical trial and real‐world progression‐free survival data6
Multivariate functional mixed model with MRI data: An application to Alzheimer's disease6
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A Simple Diagnostic for the Positivity Assumption for Continuous Exposures6
An Alternative Measure for Quantifying the Heterogeneity in Meta‐Analysis6
Low‐rank latent matrix‐factor prediction modeling for generalized high‐dimensional matrix‐variate regression6
Subgroup analysis using Bernoulli‐gated hierarchical mixtures of experts models6
Allocation in platform trials to maintain comparability across time and eligibility6
Robust inference methods for meta‐analysis involving influential outlying studies6
Fast estimation of mixed‐effects location‐scale regression models6
Multiblock partial least squares and rank aggregation: Applications to detection of bacteriophages associated with antimicrobial resistance in the presence of potential confounding factors6
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
Unified semicompeting risks analysis of hepatitis natural history through mediation modeling6
Joint modeling approaches for censored predictors due to detection limits with applications to metabolites data6
Assessing heterogeneity in surrogacy using censored data6
A Bayesian semi‐parametric scalar‐on‐function regression with measurement error using instrumental variables6
A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method6
Penalized maximum likelihood inference under the mixture cure model in sparse data6
Radiomics of PET Using Neural Networks for Prediction of Alzheimer's Disease Diagnosis6
Robust analysis of cancer heterogeneity for high‐dimensional data6
A conditional autoregressive model for genetic association analysis accounting for genetic heterogeneity6
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A penalization approach to random‐effects meta‐analysis6
Ensemble of Sequential Learning Models With Distributed Data Centers and Its Applications6
Bayesian predictive model averaging approach to joint longitudinal‐survival modeling: Application to an immuno‐oncology clinical trial6
Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond6
Evaluating analytic models for individually randomized group treatment trials with complex clustering in nested and crossed designs6
Integrative deep learning with prior assisted feature selection6
Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation6
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials6
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID‐19 pandemic6
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
Approximate likelihood‐based estimation method of multiple‐type pathogen interactions: An application to longitudinal pneumococcal carriage data6
Fusing trial data for treatment comparisons: Single vs multi‐span bridging6
Active‐Controlled Trial Design for HIV Prevention Trials With a Counterfactual Placebo6
Fitting additive risk models using auxiliary information6
Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data6
A Note on the Sample Size Formula for a Win Ratio Endpoint6
A comparison of different methods to adjust survival curves for confounders6
Federated causal inference in heterogeneous observational data6
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Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial6
Correlated geometric models of order k and its application to intensive care unit and leprosy data6
Individualized empirical null estimation for exact tests of healthcare quality5
A semi‐parametric Bayesian model for semi‐continuous longitudinal data5
Nonparametric estimation of marked survival data in the presence of dependent censoring5
Overall assessment for selected markers from high‐throughput data5
Shared decision making of burdensome surveillance tests using personalized schedules and their burden and benefit5
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint5
Bayesian federated inference for estimating statistical models based on non‐shared multicenter data sets5
Two‐stage targeted maximum likelihood estimation for mixed aggregate and individual participant data analysis with an application to multidrug resistant tuberculosis5
Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities5
Cluster randomized trial designs for modeling time‐varying intervention effects5
Exact test and exact confidence interval for the Cox model5
Point estimation for adaptive trial designs II: Practical considerations and guidance5
Approximate Bayesian computation for the natural history of breast cancer, with application to data from a Milan cohort study5
New late‐emphasis and combination tests based on infimum and supremum logrank statistics with application in oncology trials5
Enhancing long‐term survival prediction with two short‐term events: Landmarking with a flexible varying coefficient model5
A Bayesian phase I/II platform design for co‐developing drug combination therapies for multiple indications5
Bayesian hierarchical models for high‐dimensional mediation analysis with coordinated selection of correlated mediators5
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