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Parametric approaches
Thema
1
#93752
Given an explicit (full) model of disease, estimate all parameters (or some parameters, e.g. beta/R0 only assuming others known from independent sources) by fitting to disease dynamics
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Controlling Infectious Diseases »
Controlling Infectious Diseases
Controlling Infectious DiseasesâMapping the issues around endemic diseasesâsuch as malaria, measles, influenza, HIV, Dengue and West Nile Virusâwith the aims of identifying improved control strategies and of providing insights into to the work of mathematical biologists, epidemiologists and public health officials in this field.âF1CEB7
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Research Questions »
Research Questions
Research QuestionsâWhat are the research priorities for the field?âFFB597
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Open mathematical/computational problems? »
Open mathematical/computational problems?
Open mathematical/computational problems?ââFFB597
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Statistical Methods for model selection and parameter estimation »
Statistical Methods for model selection and parameter estimation
Statistical Methods for model selection and parameter estimationââFFB597
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Parametric approaches
Parametric approachesâGiven an explicit (full) model of disease, estimate all parameters (or some parameters, e.g. beta/R0 only assuming others known from independent sources) by fitting to disease dynamicsâFFB597
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Household models »
Household models
Household modelsâLikelihood estimation for groups of households, e.g. exact observations of numbers of cases by generation (Becker, Britton et al)âFFB597
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Least-squares fitting »
Least-squares fitting
Least-squares fittingâUse standard optimization approaches to find parameters that minimize the SSQ deviation between predicted and observed incidence (or other disease measures). Assumes (1) constant variance; (2) measurement (observation) error only, no process errorâFFB597
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Maximum likelihood estimation »
Maximum likelihood estimation
Maximum likelihood estimationâAllow for non-normal counts, typically Poisson/binomial/neg. binomial. Still assumes measurement error only (no process error). Generalized least-squares achieves a similar goal.âFFB597
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Methods incorporating both process and observation error »
Methods incorporating both process and observation error
Methods incorporating both process and observation errorââFFB597
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Sensitive to model misspecification »
Sensitive to model misspecification
Sensitive to model misspecificationâGenerally true of parametric models; we dont know how sensitive the results will be in particular cases.â59C6EF
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Eingabe von:
Daihai He
NodeID:
#93752
Node type:
Issue
Eingabedatum (GMT):
3/1/2011 2:55:00 PM
Zuletzt geÀndert am (GMT):
3/2/2011 3:17:00 AM
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