Modelling age-dependent force of infection from prevalence data using fractional polynomials.
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Using Seroprevalence and Immunisation Coverage Data to Estimate the Global Burden of Congenital Rubella Syndrome, 1996-2010: A Systematic ReviewSeventy-five years of estimating the force of infection from current status data.Estimating age-specific incidence of dementia using prevalent cohort dataRubella metapopulation dynamics and importance of spatial coupling to the risk of congenital rubella syndrome in Peru.Epidemiology of and impact of insecticide spraying on Chagas disease in communities in the Bolivian Chaco.Age- and time-dependent prevalence and incidence of hepatitis C virus infection in drug users in France, 2004-2011: model-based estimation from two national cross-sectional serosurveys.A systematic review of varicella seroprevalence in European countries before universal childhood immunization: deriving incidence from seroprevalence dataEstimating age-time-dependent malaria force of infection accounting for unobserved heterogeneity.Immunity to polio, measles and rubella in women of child-bearing age and estimated congenital rubella syndrome incidence, Cambodia, 2012.Contact patterns and their implied basic reproductive numbers: an illustration for varicella-zoster virus.Extended quasi-likelihood with fractional polynomials in the frame of the accelerated failure time model.Statement on a conceptual framework for bovine tuberculosisEvaluation of nationwide supplementary immunization in Lao People's Democratic Republic: Population-based seroprevalence survey of anti-measles and anti-rubella IgG in children and adults, mathematical modelling and a stability testing of the vaccinRevealing age-specific past and future unrelated costs of pneumococcal infections by flexible generalized estimating equationsModel selection in regression based on pre-smoothingModelling distortions in seroprevalence data using change-point fractional polynomialsEstimating herd-specific force of infection by using random-effects models for clustered binary data and monotone fractional polynomialsIngesting Self-Grown Produce and Seropositivity for Hepatitis E in the United States
P2860
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P2860
Modelling age-dependent force of infection from prevalence data using fractional polynomials.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
Modelling age-dependent force ...... using fractional polynomials.
@ast
Modelling age-dependent force ...... using fractional polynomials.
@en
type
label
Modelling age-dependent force ...... using fractional polynomials.
@ast
Modelling age-dependent force ...... using fractional polynomials.
@en
prefLabel
Modelling age-dependent force ...... using fractional polynomials.
@ast
Modelling age-dependent force ...... using fractional polynomials.
@en
P2093
P356
P1476
Modelling age-dependent force ...... using fractional polynomials.
@en
P2093
G Molenberghs
P Van Damme
Ph Beutels
P304
P356
10.1002/SIM.2291
P407
P577
2006-05-01T00:00:00Z