BIOSTATISTICS

Penalized estimation of complex, non‐linear exposure‐lag‐response associations

Adaptive penalization in high-dimensional regression and classification with external covariates using variational Bayes.

Analysis of cluster-randomized test-negative designs: cluster-level methods.

Nonparametric Bayesian inference for mean residual life functions in survival analysis.

Critical window variable selection: estimating the impact of air pollution on very preterm birth.

Selection-adjusted inference: an application to confidence intervals for cis-eQTL effect sizes.

Machine learning in the estimation of causal effects: targeted minimum loss-based estimation and double/debiased machine learning.

EM algorithms for fitting multistate cure models.

Time‐varying proportional odds model for mega‐analysis of clustered event times

Adaptive group-regularized logistic elastic net regression.

Teaching yourself about structural racism will improve your machine learning.

On models for the estimation of the excess mortality hazard in case of insufficiently stratified life tables.

Time-to-event model-assisted designs for dose-finding trials with delayed toxicity.

A joint spatial factor analysis model to accommodate data from misaligned areal units with application to Louisiana social vulnerability.

For a sound use of health care data in epidemiology: evaluation of a calibration model for count data with application to prediction of cancer incidence in areas without cancer registry.

Modeling the cumulative incidence function of multivariate competing risks data allowing for within-cluster dependence of risk and timing.

Estimating autoantibody signatures to detect autoimmune disease patient subsets.

An ensemble method for interval-censored time-to-event data.

The functional false discovery rate with applications to genomics.

Copula-based semiparametric regression method for bivariate data under general interval censoring.

Informatively empty clusters with application to multigenerational studies.

A Gaussian copula approach for dynamic prediction of survival with a longitudinal biomarker.

A semiparametric model for wearable sensor‐based physical activity monitoring data with informative device wear

A unified method for improved inference in random effects meta-analysis.

ACE of space: estimating genetic components of high-dimensional imaging data.

A hidden Markov model addressing measurement errors in the response and replicated covariates for continuous nondecreasing processes.

Multivariate meta-analysis model for the difference in restricted mean survival times.

Monte Carlo local likelihood approximation

On the individual surrogate paradox.

Regulatory oversight, causal inference, and safe and effective health care machine learning.

Modeling local dependence in latent vector autoregressive models.

On restricted optimal treatment regime estimation for competing risks data.

Gaussian process regression for survival time prediction with genome-wide gene expression.

Strategies for validating biomarkers using data from a reference set.

Matched case-control data with a misclassified exposure: what can be done with instrumental variables?

Gamma models for estimating the odds ratio for a skewed biomarker measured in pools and subject to errors.

Modeling the rate of HIV testing from repeated binary data amidst potential never-testers.

Optimized adaptive enrichment designs for three-arm trials: learning which subpopulations benefit from different treatments.

Spatially varying age-period-cohort analysis with application to US mortality, 2002-2016.

Estimating menarcheal age distribution from partially recalled data.

Semi-supervised neighborhoods and localized patient outcome prediction.

A two-stage estimation procedure for non-linear structural equation models.

Measuring effects of medication adherence on time-varying health outcomes using Bayesian dynamic linear models.

Dynamic landmark prediction for mixture data.

A local group differences test for subject-level multivariate density neuroimaging outcomes.

Estimation of marginal causal effects in the presence of confounding by cluster.

A Bayesian zero-inflated negative binomial regression model for the integrative analysis of microbiome data.