A novel approach to estimation of the time to biomarker threshold: applications to HIV

Author:

Reddy Tarylee12,Molenberghs Geert23,Njagi Edmund Njeru24,Aerts Marc2

Affiliation:

1. Biostatistics Unit; Medical Research Council; Durban South Africa

2. I-BioStat; Universiteit Hasselt; Diepenbeek Belgium

3. I-BioStat; KU Leuven; Leuven Belgium

4. Cancer Research UK Cancer Survival Group; London School of Hygiene & Tropical Medicine; London United Kingdom

Funder

IAP Research Network

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Reference28 articles.

1. Predictors of disease progression in HIV infection: a review;Langford;AIDS Research and Therapy,2007

2. The Evaluation of Surrogate Endpoints

3. The relationship between serum human immunodeficiency virus type 1 (HIV-1) RNA level, CD4 lymphocyte percent, and long-term mortality risk in HIV-1infected children;Mofenson;The Journal of Infectious Diseases,1997

4. Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV;WHO;World Health Organization,2015

5. Within-subject variation in CD4 lymphocyte count in asymptomatic human immunodeficiency virus infection: implications for patient monitoring;Hughes;Journal of Infectious Diseases,1994

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