Abstract

The research proposed in this application has as its primary goal the computer implementation of a statistical simulation model for the study of the development and spread of the AIDS epidemic. The model will presume a heterogeneous population with emphasis on the intravenous drug users who form an important subgroup for harboring and transmitting the AIDS infection. With such a model, it will be possible to predict the course of the epidemic, measure the variability of the prediction, and assess the sensitivity of the outcome to parameters in the model, particularly those that can be modified through intervention programs. This last capability is especially important to policy makers, as it enables them to evaluate the potential effects of various strategies for combatting the epidemic.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Allergy and Infectious Diseases (NIAID)
Type
Research Project (R01)
Project #
5R01AI028076-05
Application #
2064246
Study Section
Special Emphasis Panel (ARR (V1))
Project Start
1989-09-30
Project End
1995-03-31
Budget Start
1993-08-01
Budget End
1995-03-31
Support Year
5
Fiscal Year
1993
Total Cost
Indirect Cost

  Institution

Name
Harvard University
Department
Biostatistics & Other Math Sci
Type
Schools of Public Health
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115

  Publications

White, Laura Forsberg; Bonetti, Marco; Pagano, Marcello (2009) The Choice of the Number of Bins for the M Statistic. Comput Stat Data Anal 53:3640-3649
Vaida, Florin; Fitzgerald, Anthony P; Degruttola, Victor (2007) Efficient Hybrid EM for Linear and Nonlinear Mixed Effects Models with Censored Response. Comput Stat Data Anal 51:5718-5730
Ozonoff, Al; Webster, Thomas; Vieira, Veronica et al. (2005) Cluster detection methods applied to the Upper Cape Cod cancer data. Environ Health 4:19
Ozonoff, Al; Forsberg, L; Bonetti, M et al. (2004) Bivariate method for spatio-temporal syndromic surveillance. MMWR Morb Mortal Wkly Rep 53 Suppl:59-66
DiRienzo, A Gregory; DeGruttola, Victor (2003) Design and analysis of clinical trials with a bivariate failure time endpoint, with application to AIDS Clinical Trials Group Study A5142. Control Clin Trials 24:122-34
DiRienzo, A G (2003) Nonparametric comparison of two survival-time distributions in the presence of dependent censoring. Biometrics 59:497-504
Foulkes, A S; De, Gruttola V (2002) Characterizing the relationship between HIV-1 genotype and phenotype: prediction-based classification. Biometrics 58:145-56
Park, P J; Pagano, M; Bonetti, M (2001) A nonparametric scoring algorithm for identifying informative genes from microarray data. Pac Symp Biocomput :52-63
Bellocco, R; Pagano, M (2001) Multinomial analysis of smoothed HIV back-calculation models incorporating uncertainty in the AIDS incidence. Stat Med 20:2017-33
Bellocco, R; Xu, J; Schinaia, N et al. (2000) Survival of patients with blood-borne AIDS in Italy. J Epidemiol Biostat 5:79-87

Showing the most recent 10 out of 17 publications