title: MIAMOD: a computer package to estimate chronic disease morbidity using mortality and survival data.
abstract: The MIAMOD package is for use in epidemiological analysis of chronic degenerative diseases. The package has been designed to use survival and mortality data supplied by the user, to estimate incidence and prevalence rates, to forecast future mortality and morbidity levels and to provide life tables. Estimates are derived by modelling incidence as an age-period-cohort function and by the equations relating specific cause mortality and prevalence to incidence and survival. The model parameters are evaluated by fitting mortality data by means of a weighted non-linear regression model. Numerical and statistical methods used to solve the regression and to compute standard errors, projections, and life tables are discussed. The program is written in standard FORTRAN 77 and runs on a mainframe computer. The different program units are illustrated together with the principal implementation options. An example of application is provided to show a typical output pattern.
authors.affiliation: Laboratory of Epidemiology and Biostatistics, Istituto Superiore di Sanitá, Rome, Italy.
authors.forename: G
authors.initials: G
authors.lastname: De Angelis
authors.forename: R
authors.initials: R
authors.lastname: De Angelis
authors.forename: L
authors.initials: L
authors.lastname: Frova
authors.forename: A
authors.initials: A
authors.lastname: Verdecchia
mesh_terms: D001943:Breast Neoplasms / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology* / Q000401:mortality; D004812:Epidemiologic Methods; D006801:Humans; D015994:Incidence; D007558:Italy / Q000453:epidemiology; D015993:Life Tables; D016013:Likelihood Functions; D008432:Mathematical Computing; D015233:Models, Statistical; D009017:Morbidity; D017711:Nonlinear Dynamics; D012044:Regression Analysis; D012984:Software; D012985:Software Design; D016019:Survival Analysis