Characterization of HIV infection and seroconversion by a stochastic model of the HIV epidemic

DOI10.1016/0025-5564(94)00032-UzbMath0822.92020OpenAlexW1978484592WikidataQ52349402 ScholiaQ52349402MaRDI QIDQ1804839

Yanyan Li

Publication date: 17 May 1995

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0025-5564(94)00032-u

zbMATH Keywords

spline approximationAkaike information criterionparametric modelsAICHIV infectionnonparametric methodschi-square statisticKaplan-Meier methodhomosexual populationsseroconversion distributionsBacchetti's methodEMS methodfitting of infection distributionsgeneralized log-logistic distributionsresidual sums of squares

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical epidemiology (92C60)

Related Items (9)

Estimation of HIV seroconversion and effects of age in the San Francisco homosexual population ⋮ Some state space models of hiv epidemic and its applications for the estimation of hiv infection and incubation ⋮ A stochastic model of the HIV epidemic for heterosexual transmission involving married couples and prostitutes. I: The probabilities of HIV transmission and pair formation ⋮ A stochastic model for the HIV epidemic in homosexual populations involving age and race ⋮ Modelling the HIV epidemic: A state-space approach ⋮ The stochastic dance of early HIV infection ⋮ The state-space model of the HIV epidemic with variable infection in the homosexual populations ⋮ Estimation of HIV infection and incubation via state space models ⋮ A state space model for the HIV epidemic in homosexual populations and some applications

Cites Work

• Some properties of adding a smoothing step to the EM algorithm
• A methodological study of a stochastic model of an AIDS epidemic
• Modeling and analyzing HIV transmission: The effect of contact patterns
• The chain multinomial models of the HIV epidemiology in homosexual populations
• A stochastic model of the HIV epidemic and the HIV infection distribution in a homosexual population
• Measures of Lack of Fit for Response Surface Designs and Predictor Variable Transformations
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