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Volume 25, Issue 1, January 2024
Articles
Multiple exposure distributed lag models with variable selection
Joseph Antonelli and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 1–19, https://doi.org/10.1093/biostatistics/kxac038
A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth
Saskia Comess and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 20–39, https://doi.org/10.1093/biostatistics/kxac034
Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan
Feifei Wang and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 40–56, https://doi.org/10.1093/biostatistics/kxac046
Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations?
Xiao Wu and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 57–79, https://doi.org/10.1093/biostatistics/kxad002
Joint modeling of longitudinal and competing-risk data using cumulative incidence functions for the failure submodels accounting for potential failure cause misclassification through double sampling
Christos Thomadakis and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 80–97, https://doi.org/10.1093/biostatistics/kxac043
Time-to-event surrogate endpoint validation using mediation analysis and meta-analytic data
Quentin Le Coënt and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 98–116, https://doi.org/10.1093/biostatistics/kxac044
An imputation approach for a time-to-event analysis subject to missing outcomes due to noncoverage in disease registries
Joanna H Shih and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 117–133, https://doi.org/10.1093/biostatistics/kxac049
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networks
Aliasghar Tarkhan and Noah Simon
Biostatistics, Volume 25, Issue 1, January 2024, Pages 134–153, https://doi.org/10.1093/biostatistics/kxac039
CoCoA: conditional correlation models with association size
Danni Tu and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 154–170, https://doi.org/10.1093/biostatistics/kxac032
Differences in set-based tests for sparse alternatives when testing sets of outcomes compared to sets of explanatory factors in genetic association studies
Ryan Sun and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 171–187, https://doi.org/10.1093/biostatistics/kxac036
A scalable and unbiased discordance metric with H+
Nathan Dyjack and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 188–202, https://doi.org/10.1093/biostatistics/kxac035
Multilayer Exponential Family Factor models for integrative analysis and learning disease progression
Qinxia Wang and Yuanjia Wang
Biostatistics, Volume 25, Issue 1, January 2024, Pages 203–219, https://doi.org/10.1093/biostatistics/kxac042
Flexible evaluation of surrogacy in platform studies
Michael C Sachs and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 220–236, https://doi.org/10.1093/biostatistics/kxac053
Adaptive clinical trial designs with blinded selection of binary composite endpoints and sample size reassessment
Marta Bofill Roig and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 237–252, https://doi.org/10.1093/biostatistics/kxac040
CGR-CUSUM: a continuous time generalized rapid response cumulative sum chart
Daniel Gomon and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 253–269, https://doi.org/10.1093/biostatistics/kxac041
Inference after latent variable estimation for single-cell RNA sequencing data
Anna Neufeld and others
Biostatistics, Volume 25, Issue 1, January 2024, Pages 270–287, https://doi.org/10.1093/biostatistics/kxac047
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