Modelling Forces of Infection by Using Monotone Local Polynomials
- 23 September 2003
- journal article
- Published by Oxford University Press (OUP) in Journal of the Royal Statistical Society Series C: Applied Statistics
- Vol. 52 (4) , 469-485
- https://doi.org/10.1111/1467-9876.00418
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- A General Projection Framework for Constrained SmoothingStatistical Science, 2001
- Generalized additive models for current status data.Lifetime Data Analysis, 1998
- Prevalence of hepatitis A, B and C in the Flemish populationEuropean Journal of Epidemiology, 1997
- Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood FunctionsJournal of the American Statistical Association, 1995
- Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric ModellingJournal of the Royal Statistical Society Series C: Applied Statistics, 1994
- Age-Specific Incidence and Prevalence: A Statistical PerspectiveJournal of the Royal Statistical Society Series A: Statistics in Society, 1991
- Modelling forces of infection for measles, mumps and rubellaStatistics in Medicine, 1990
- The estimation of age-related rates of infection from case notifications and serological dataEpidemiology and Infection, 1985
- The Monotone Smoothing of ScatterplotsTechnometrics, 1984
- A Catalytic Model of Infection for MeaslesJournal of the Royal Statistical Society Series C: Applied Statistics, 1974