A hypothetical, simulated dataset which provides typical data from HIV treatment research.
A data frame with 5000 observations on the following 14 variables:
The patient's id number
The treatment facility
Follow-up time of the respective patient
Outcome at the end of follow-up: (1=dead, 0=alive)
The patients's sex (1=female, 0=male)
The patient's age
The patient's baseline CD4 cell count
The patients CD4 slope (average CD4 gain/loss per week) at 6 month of follow up
The patient's baseline weight (in kg)
Categorical variable specifying the period of treatment initiation: before 2004, between 2004 and 2007, or after 2007
The patient's baseline haemoglobin level
The patient's baseline WHO stage indicating disease severity, ordinal variable
The patient's baseline tuberculosis status (1=yes,0=no)
The patient's baseline cryptococcal meningitis status (1=yes,0=no)
Schomaker, M. et al. (2013) Immune Recovery After Starting ART in HIV-infected Patients Presenting and not Presenting with Tuberculosis in South Africa, Journal of Acquired Immune Deficiency Syndroms, 63:142-145
Hoffmann, C. et al. (2013) CD4 Count Slope and Mortality in HIV-infected Patients on Antiretroviral Therapy: Multi-cohort Analysis from South Africa, Journal of Acquired Immune Deficiency Syndroms, 63:34-41
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