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Volume 25, Issue 2, April 2024
Articles
Systematically missing data in causally interpretable meta-analysis
Jon A Steingrimsson and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 289–305, https://doi.org/10.1093/biostatistics/kxad006
Multiple imputation of more than one environmental exposure with nondifferential measurement error
Yuanzhi Yu and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 306–322, https://doi.org/10.1093/biostatistics/kxad011
Tree-based subgroup discovery using electronic health record data: heterogeneity of treatment effects for DTG-containing therapies
Jiabei Yang and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 323–335, https://doi.org/10.1093/biostatistics/kxad014
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion
Tracy Q Dong and Elizabeth R Brown
Biostatistics, Volume 25, Issue 2, April 2024, Pages 336–353, https://doi.org/10.1093/biostatistics/kxad016
A Bayesian approach to estimating COVID-19 incidence and infection fatality rates
Justin J Slater and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 354–384, https://doi.org/10.1093/biostatistics/kxad003
Longitudinal regression of covariance matrix outcomes
Yi Zhao and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 385–401, https://doi.org/10.1093/biostatistics/kxac045
A transformation perspective on marginal and conditional models
Luisa Barbanti and Torsten Hothorn
Biostatistics, Volume 25, Issue 2, April 2024, Pages 402–428, https://doi.org/10.1093/biostatistics/kxac048
Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations
Denis Rustand and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 429–448, https://doi.org/10.1093/biostatistics/kxad019
Characterizing quantile-varying covariate effects under the accelerated failure time model
Harrison T Reeder and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 449–467, https://doi.org/10.1093/biostatistics/kxac052
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies
Ruoyu He and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 468–485, https://doi.org/10.1093/biostatistics/kxac051
Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error
Soutrik Mandal and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 486–503, https://doi.org/10.1093/biostatistics/kxad001
Multi-trait analysis of gene-by-environment interactions in large-scale genetic studies
Lan Luo and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 504–520, https://doi.org/10.1093/biostatistics/kxad004
Cohort-based smoothing methods for age-specific contact rates
Yannick Vandendijck and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 521–540, https://doi.org/10.1093/biostatistics/kxad005
Identifying covariate-related subnetworks for whole-brain connectome analysis
Shuo Chen and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 541–558, https://doi.org/10.1093/biostatistics/kxad007
Differential transcript usage analysis incorporating quantification uncertainty via compositional measurement error regression modeling
Amber M Young and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 559–576, https://doi.org/10.1093/biostatistics/kxad008
Modeling biomarker variability in joint analysis of longitudinal and time-to-event data
Chunyu Wang and others
Biostatistics, Volume 25, Issue 2, April 2024, Pages 577–596, https://doi.org/10.1093/biostatistics/kxad009
Correction
Correction to: A transformation perspective on marginal and conditional models
Biostatistics, Volume 25, Issue 2, April 2024, Page 597, https://doi.org/10.1093/biostatistics/kxad017
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