Estimation of delay to diagnosis and incidence in HIV using indirect evidence of infection dates.
Oliver T StirrupDavid T DunnPublished in: BMC medical research methodology (2018)
The combination of all available biomarker data with pooled estimation of the distribution of diagnosis-delays allows for more precise prediction of the true timing of infection in individual patients, and the models developed also provide useful population-level information.
Keyphrases
- end stage renal disease
- ejection fraction
- newly diagnosed
- antiretroviral therapy
- hiv positive
- risk factors
- human immunodeficiency virus
- hepatitis c virus
- prognostic factors
- peritoneal dialysis
- electronic health record
- hiv testing
- clinical trial
- randomized controlled trial
- big data
- south africa
- machine learning
- artificial intelligence