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Full-Text Articles in Physical Sciences and Mathematics
Aids Epidemiology: A Quantitative Approach, Ron Brookmeyer, Mitchell Gail
Aids Epidemiology: A Quantitative Approach, Ron Brookmeyer, Mitchell Gail
Ron Brookmeyer
This comprehensive work confronts the problems that are unique to AIDS research and unites them under a single conceptual framework. It focuses on methods for the design and analysis of epidemiologic studies, the natural history of AIDS and the transmission of HIV, methods for tracking and projecting the course of the epidemic, and statistical issues in therapeutic trials. The various methods of monitoring and forecasting this disease receive comprehensive treatment. These methods include back-calculation, which the authors developed; interpretation of survey data on HIV prevalence; mathematical models for HIV transmission; and approaches that combine different types of epidemiological data. Much …
Application Of The Binomial Index Of Model Fit: What Research Question Is Being Investigated?, Isadore Newman, John Fraas, Timothy Norfolk
Application Of The Binomial Index Of Model Fit: What Research Question Is Being Investigated?, Isadore Newman, John Fraas, Timothy Norfolk
John W. Fraas
No abstract provided.
Derivation Of A Scaled Binomial As An Instance Of A General Discrete Exponential Distribution, Joseph Hilbe
Derivation Of A Scaled Binomial As An Instance Of A General Discrete Exponential Distribution, Joseph Hilbe
Joseph M Hilbe
No abstract provided.
A Bayesian Approach To Additive Nonparametric Regression, Michael S. Smith, Robert Kohn
A Bayesian Approach To Additive Nonparametric Regression, Michael S. Smith, Robert Kohn
Michael Stanley Smith
This proceedings paper was the first to suggest using a Gaussian g-prior combined with a point mass to undertake Bayesian variable selection in a Gaussian linear regression model. It also was the first to suggest integrating out the regression parameters and variance in closed form, resulting in an efficient Gibbs sampling scheme. The idea was applied to estimate regression functions in an additive model by using a linear basis expansion for each component function in an additive model. The conference proceeding was eventually published in a slightly tighter form in Journal of Econometrics (1996).