A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV-Reference-Cited by-同舟云学术

A Bayesian nonparametric approach for inferring drug combination effects on mental health in people with HIV

Published:2021-07-09 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Jin Wei¹,Ni Yang²,Rubin Leah H.³,Spence Amanda B.⁴,Xu Yanxun¹^ORCID

Affiliation:

1. Department of Applied Mathematics and Statistics Johns Hopkins University Baltimore Maryland USA

2. Department of Statistics Texas A&M University College Station Texas USA

3. Departments of Neurology and Psychiatry Johns Hopkins University School of Medicine Baltimore Maryland USA

4. Department of Medicine Georgetown University Washington District of Columbia USA

Funder

National Institute of Allergy and Infectious Diseases

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13508

Reference34 articles.

1. Predicting the Response to Combination Antiretroviral Therapy: Retrospective Validation of geno2pheno‐THEO on a Large Clinical Database

2. The Women's Interagency HIV Study: an Observational Cohort Brings Clinical Sciences to the Bench

3. The Womenʼs Interagency HIV Study

4. Learning Structural Kernels for Natural Language Processing

5. Disparities in Depressive Symptoms and Antidepressant Treatment by Gender and Race/Ethnicity among People Living with HIV in the United States

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2. A Bayesian decision framework for optimizing sequential combination antiretroviral therapy in people with HIV;The Annals of Applied Statistics;2023-12-01

3. Common antiretroviral combinations are associated with somatic depressive symptoms in women with HIV;AIDS;2023-09-28

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