Simultaneous back‐projection of AIDS incidence data for two or more groups
- 30 September 1994
- journal article
- Published by Wiley in Statistics in Medicine
- Vol. 13 (18) , 1865-1879
- https://doi.org/10.1002/sim.4780131808
Abstract
Back‐projection of AIDS incidence data is useful for estimating characteristics of the HIV epidemic curve and forms a basis for projections of the AIDS epidemic curve. Its application to subgroups of the population is limited by its imprecision for groups with a small number of cases. Back‐projection can be made more precise by pooling data from different groups and linking their HIV infection intensities by a model. Here we propose a method based on proportional infection intensities and study its performance with simulations and applications to AIDS in different States of Australia and haemophiliacs in the U.S.A. This method of simultaneous back‐projection is shown to reduce substantially the width of confidence intervals for HIV infection intensities and for total numbers infected.Keywords
This publication has 11 references indexed in Scilit:
- Smoothed nonparametric back-projection of AIDS incidence data with adjustment for therapyMathematical Biosciences, 1993
- A method for estimating the age-specific relative risk of HIV infection from AIDS incidence dataBiometrika, 1993
- A method of non‐parametric back‐projection and its application to aids dataStatistics in Medicine, 1991
- Backcalculation of Flexible Linear Models of the Human Immunodeficiency Virus Infection CurveJournal of the Royal Statistical Society Series C: Applied Statistics, 1991
- Statistical Modelling of the AIDS Epidemic for Forecasting Health Care NeedsBiometrics, 1990
- Estimation of the incidence of HIV infectionPhilosophical Transactions of the Royal Society of London. B, Biological Sciences, 1989
- A Method for Obtaining Short-Term Projections and Lower Bounds on the Size of the AIDS EpidemicJournal of the American Statistical Association, 1988
- Maximum Likelihood from Incomplete Data Via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977