Modelling distortions in seroprevalence data using change-point fractional polynomials

DOI10.1177/1471082X0801000203WikidataQ56880815 ScholiaQ56880815MaRDI QIDQ4970577

No author found.

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

zbMATH Keywords

model selection criteriachange pointfractional polynomialdetecting distortionsseroprevalence data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the definition and the computation of the basic reproduction ratio \(R_ 0\) in models for infectious diseases in heterogeneous populations
• Detecting break points in generalized linear models
• Mathematical Structures of Epidemic Systems
• Modelling Forces of Infection by Using Monotone Local Polynomials
• Estimation of the Basic Reproduction Number for Infectious Diseases from Age-Stratified Serological Survey Data
• Model Selection and Multimodel Inference
• Age-Specific Incidence and Prevalence: A Statistical Perspective
• Hierarchical Bayesian Analysis of Changepoint Problems

This page was built for publication: Modelling distortions in seroprevalence data using change-point fractional polynomials