algorithm in HIV(phd level)

David and I thought that might be a good idea to work on “survival following AIDS” using our surveillance data. We believe this will add a great value for the potential linkage project as well. The idea is to estimate the survival rates those who were diagnosed with AIDS. To do this you need the following data: NatNo, (id) dob, (date of birth) DateAids (date of AIDS), DateEnt (date of entry of the AIDS date), DateDeath (date of death), DeathEnt (date of entry of the Death date), lostFollup (lost to follow up), datelastct (date of last contact). This will be a “typical survival analysis” practice using the data above. I was asked to work on it 3 years ago during the face-to-face surveillance meeting in Cairns. I haven’t had a chance to look at it since then. Once you have done this, you can easily extend this project to the linkage study when we receive the data and we believe this will add a great value into the “linkage project” overall. Primary end point will be “time to death”, of course if death didn’t occur (i.e. lost to follow up, date last contact < date of death) then person will be censored at that time point for death. Perhaps first, develop a concept sheet for this project by end of the next week; then we will provide you the data and you can start analyzing. In this concept sheet, I will suggest you to develop an algorithm regarding how you will handle the cases under different scenarios. Thanks please bid for less