Works matching IS 0006341X AND DT 2024 AND VI 80 AND IP 2
Results: 40
Differential recall bias in estimating treatment effects in observational studies.
- Published in:
- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae058
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- Article
A Bayesian convolutional neural network-based generalized linear model.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae057
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- Article
Efficient testing of the biomarker positive and negative subgroups in a biomarker-stratified trial.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae056
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- Article
Doubly robust proximal synthetic controls.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae055
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- Article
Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae054
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- Article
Introduction to statistical modelling and inference by Murray Aitkin, CRC Press, 2023, ISBN: 978-1032105710, https://www.routledge.com/Introduction-to-Statistical-Modelling-and-Inference/Aitkin/p/book/9781032105710.
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- 2024
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- Publication type:
- Book Review
Rejoinder to Reader Reaction "On exact randomization-based covariate-adjusted confidence intervals" by Jacob Fiksel.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae052
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- Article
On exact randomization-based covariate-adjusted confidence intervals.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae051
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- Article
Dissecting the colocalized GWAS and eQTLs with mediation analysis for high-dimensional exposures and confounders.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae050
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- Article
Robustness of response-adaptive randomization.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae049
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- Article
A Bayesian semi-parametric model for learning biomarker trajectories and changepoints in the preclinical phase of Alzheimer's disease.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae048
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- Article
Sequential covariate-adjusted randomization via hierarchically minimizing Mahalanobis distance and marginal imbalance.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae047
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- Article
Integrating randomized and observational studies to estimate optimal dynamic treatment regimes.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae046
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- Article
Doubly robust estimation and sensitivity analysis for marginal structural quantile models.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae045
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- Article
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae044
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- Article
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae043
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- Article
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae042
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- Publication type:
- Article
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae041
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- Article
Rejoinder to the discussion on "Bayesian meta-analysis of penetrance for cancer risk".
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae040
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- Publication type:
- Article
Discussion on "Bayesian meta-analysis of penetrance for cancer risk" by Thanthirige Lakshika M. Ruberu, Danielle Braun, Giovanni Parmigiani, and Swati Biswas.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae039
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- Publication type:
- Article
Bayesian meta-analysis of penetrance for cancer risk.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae038
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- Article
Regression models for average hazard.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae037
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- Article
Testing conditional quantile independence with functional covariate.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae036
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- Article
Efficient data integration under prior probability shift.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae035
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- Article
Data science for infectious disease data analytics: an introduction with R, by Lily Wang, CRC Press, 2022 ISBN-13: 978-1032187426, https://www.routledge.com/Data-Science-for-Infectious-Disease-Data-Analytics-An-Introduction-with-R/Wang/p/book/9781032187426
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- 2024
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- Publication type:
- Book Review
Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae033
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- Article
Direct and indirect treatment effects in the presence of semicompeting risks.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae032
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- Article
High-dimensional covariate-augmented overdispersed poisson factor model.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae031
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- Article
Topical hidden genome: discovering latent cancer mutational topics using a Bayesian multilevel context-learning approach.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae030
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- Article
Deep partially linear cox model for current status data.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae024
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- Article
Causal inference for time-to-event data with a cured subpopulation.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae028
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Single proxy control.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae027
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Well-spread samples with dynamic sample sizes.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae026
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- Article
Confounder-dependent Bayesian mixture model: Characterizing heterogeneity of causal effects in air pollution epidemiology.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae025
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- Article
Addressing age measurement errors in fish growth estimation from length-stratified samples.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae029
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- Article
Behavioral carry-over effect and power consideration in crossover trials.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae023
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Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae022
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- Article
High-dimensional multisubject time series transition matrix inference with application to brain connectivity analysis.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae021
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- Article
Case weighted power priors for hybrid control analyses with time-to-event data.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae019
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- Article
Estimating the size of a closed population by modeling latent and observed heterogeneity.
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- Biometrics, 2024, v. 80, n. 2, p. 1, doi. 10.1093/biomtc/ujae017
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- Article