############################################################################################# # The data file Vax004data_Seattle_SummerInstitute_2011.csv contains the following 21 variables, # with one variable per column. The dataset contains one record per subject. # # Variables # # 1. Subject identification number # 2. Vaccination assignment (1=vaccine; 0=placebo) # 3. Sex (0=male; 1=female) # 4. Age (1=18-25; 2=26-30; 3=31-40; 4=41-50; 5=>50) # 5. White (1=white; 0=o/w) # 6. Black (1=black; 0=o/w) # 7. Asian (1=asian; 0=o/w) # 8. hisp (1=hispanic; 0=o/w) # 9. Otherrace (1=another race; 0=o/w) # 10. Education (1=Less than High School; 2=High School Graduate; # 3=College Graduate; 4=Advanced Degree) # 11. US (1=United States; 0=o/w) # 12. Canada (1=Canada; 0=o/w) # 13. Netherlands (1=Netherlands; 0=o/w) # 14. Region (1=Northeast; 2=South; 3=Southwest; 4=West coast; 5=Midwest; 6=Netherlands) # 15. Baseline risk score (0-7 summarizing the amount of risky behavior as measured by # a baseline questionnaire. For many analyses it has been divided into # low (score 0), medium (score (1-3), and high (score > 3). # It can also be treated as a quantitative score variable.) # # 16. In Vitro Infectivity Result (quantitative assay measured in everyone at baseline. # It measures 'neutralization potential' and was collected # because it is know to positively correlate with putative # immunological CoRs and SoPs [next 2 variables]) # 17. Level of CD4 blocking # antibody response 2 (quantitative, measured in almost all HIV infected vaccinees, # weeks after the Month and in a random sample of uninfected vaccinees, stratified # 6 immunization by sex and country [US vs non-US]. A putative CoR and SoP. # # 18. Level of log10 MN # neutralization response (quantitative, measured in almost all HIV infected vaccinees, # 2 weeks after the Month and in a random sample of uninfected vaccinees, stratified # 6 immunization by sex and country [US vs non-US]. A putative CoR and SoP. # # 19. HIV infection status (1 if infected during follow-up; 0 if not) # 20. Estimated days to # infection (The days between randomization and estimated date of HIV infection.) # For subjects who never become HIV infected, it is the total time # of follow-up, that is the censoring time.) # 21. Days to infection Dx (The days between randomization and the date of HIV infection detection. # For subjects who never become HIV infected, it is the total time # of follow-up.) # # Either variable 20 or 21 may be used as the failure time variable ###################################################################################################