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Articles 91 - 95 of 95
Full-Text Articles in Disease Modeling
Optimization Of Breast Cancer Screening Modalities, Yu Shen, Giovanni Parmigiani
Optimization Of Breast Cancer Screening Modalities, Yu Shen, Giovanni Parmigiani
Johns Hopkins University, Dept. of Biostatistics Working Papers
Mathematical models and decision analyses based on microsimulations have been shown to be useful in evaluating relative merits of various screening strategies in terms of cost and mortality reduction. Most investigations regarding the balance between mortality reduction and costs have focused on a single modality, mammography. A systematic evaluation of the relative expenses and projected benefit of combining clinical breast examination and mammography is not at present available. The purpose of this report is to provide methodologic details including assumptions and data used in the process of modeling for complex decision analyses, when searching for optimal breast cancer screening strategies …
Cross-Calibration Of Stroke Disability Measures: Bayesian Analysis Of Longitudinal Ordinal Categorical Data Using Negative Dependence, Giovanni Parmigiani, Heidi W. Ashih, Gregory P. Samsa, Pamela W. Duncan, Sue Min Lai, David B. Matchar
Cross-Calibration Of Stroke Disability Measures: Bayesian Analysis Of Longitudinal Ordinal Categorical Data Using Negative Dependence, Giovanni Parmigiani, Heidi W. Ashih, Gregory P. Samsa, Pamela W. Duncan, Sue Min Lai, David B. Matchar
Johns Hopkins University, Dept. of Biostatistics Working Papers
It is common to assess disability of stroke patients using standardized scales, such as the Rankin Stroke Outcome Scale (RS) and the Barthel Index (BI). The Rankin Scale, which was designed for applications to stroke, is based on assessing directly the global conditions of a patient. The Barthel Index, which was designed for general applications, is based on a series of questions about the patient’s ability to carry out 10 basis activities of daily living. As both scales are commonly used, but few studies use both, translating between scales is important in gaining an overall understanding of the efficacy of …
Temporal Stability And Geographic Variation In Cumulative Case Fatality Rates And Average Doubling Times Of Sars Epidemics, Alison P. Galvani, Xiudong Lei, Nicholas P. Jewell
Temporal Stability And Geographic Variation In Cumulative Case Fatality Rates And Average Doubling Times Of Sars Epidemics, Alison P. Galvani, Xiudong Lei, Nicholas P. Jewell
U.C. Berkeley Division of Biostatistics Working Paper Series
We analyze temporal stability and geographic trends in cumulative case fatality rates and average doubling times of severe acute respiratory syndrome (SARS). In part, we account for correlations between case fatality rates and doubling times through differences in control measures. We discuss factors that may alter future estimates of case fatality rates. We also discuss reasons for heterogeneity in doubling times among countries and the implications for the control of SARS in different countries and parameterization of epidemic models.
Mathematical Transmission Model Of The Spread Of Hiv Through Sexual Contact And Iv Drug Usage Among Heterosexuals In Western Australia, B. Glockner
Theses : Honours
The human immunodeficiency virus (HIV) and its latter stage, the acquired immune deficiency syndrome (AIDS), are still a major health problem in the world and the full extent of the epidemic is unknown. The HIV virus in Australia has been spread mainly through homosexual contact, but this mode of transmission is decreasing while transmission from heterosexual contact and from IV drug use is increasing. The proposed mathematical model concentrates on transmission of the HIV virus through heterosexual contact and IV drug use among heterosexuals in Western Australia. The model parameters will be estimated from surveys conducted by the Australian National …
Aids: Prophecy And Present Reality, Victor De Gruttola, William Ira Bennett
Aids: Prophecy And Present Reality, Victor De Gruttola, William Ira Bennett
New England Journal of Public Policy
Mathematical modeling of the AIDS epidemic can be useful for policymakers even though precise projections are not possible at this time. Models are useful in establishing ranges for current and future prevalence of HIV infection and incidence of AIDS, as well as in predicting the effect of a given intervention strategy. Most decision makers are using models implicitly when they use epidemiological information as a basis for policy; formulating a model explicitly permits examination of the underlying assumptions. By creating and testing a variety of models, an investigator can determine whether the models reflect more the underlying assumptions or the …