@article {1502,
	title = {Assessing the performance of a computer-based policy model of HIV and AIDS.},
	journal = {PloS one},
	volume = {5},
	year = {2010},
	month = {2010},
	abstract = {Model-based analyses, conducted within a decision analytic framework, provide a systematic way to combine information about the natural history of disease and effectiveness of clinical management strategies with demographic and epidemiological characteristics of the population. Among the challenges with disease-specific modeling include the need to identify influential assumptions and to assess the face validity and internal consistency of the model.},
	keywords = {Acquired Immunodeficiency Syndrome, Anti-HIV Agents, Antiretroviral Therapy, Highly Active, CD4 Lymphocyte Count, Cohort Studies, Computer Simulation, Female, HIV, HIV Infections, Humans, Male, Program Evaluation, Public Policy, Treatment Outcome, United States},
	issn = {1932-6203},
	doi = {10.1111/j.1524-4733.2010.00763.x},
	author = {Rydzak, Chara E and Cotich, Kara L and Sax, Paul E and Hsu, Heather E and Wang, Bingxia and Losina, Elena and Freedberg, Kenneth A and Weinstein, Milton C and Goldie, Sue J}
}
