Estimation of parasitic infection dynamics when detectability is imperfect.
about
Stochastic algorithms for Markov models estimation with intermittent missing data.A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohortDiscrete-time semi-Markov modeling of human papillomavirus persistence.Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs.Analysis of panel data under hidden mover-stayer models.Statistical models for estimating prevalence and incidence of parasitic diseases.Modeling parasite infection dynamics when there is heterogeneity and imperfect detectability.A mixed model for two-state Markov processes under panel observation.Quantitative risk assessment ofSalmonellaEnteritidis in shell eggs in EuropeTwo-state mixed renewal processes for chronic disease.A probabilistic transmission model of Salmonella in the primary broiler production chain.
P2860
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P2860
Estimation of parasitic infection dynamics when detectability is imperfect.
description
1990 nî lūn-bûn
@nan
1990年の論文
@ja
1990年学术文章
@wuu
1990年学术文章
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1990年学术文章
@zh-cn
1990年学术文章
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1990年学术文章
@zh-my
1990年学术文章
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1990年學術文章
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1990年學術文章
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name
Estimation of parasitic infection dynamics when detectability is imperfect.
@en
Estimation of parasitic infection dynamics when detectability is imperfect.
@nl
type
label
Estimation of parasitic infection dynamics when detectability is imperfect.
@en
Estimation of parasitic infection dynamics when detectability is imperfect.
@nl
prefLabel
Estimation of parasitic infection dynamics when detectability is imperfect.
@en
Estimation of parasitic infection dynamics when detectability is imperfect.
@nl
P2093
P356
P1476
Estimation of parasitic infection dynamics when detectability is imperfect.
@en
P2093
Nagelkerke NJ
P304
P356
10.1002/SIM.4780091010
P407
P577
1990-10-01T00:00:00Z