Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations

Bernard Rachet; Camille Maringe; Laura M. Woods; Libby Ellis; Devon Spika; Claudia Allemani

doi:10.1186/s12889-015-2534-3

Abstract

The flexible Poisson model is recommended because it derives robust and unbiased estimates for sub-populations without making strong assumptions about age-specific mortality profiles. Fixing knots a priori in the final model greatly improves fit at the young ages.

Keywords

Poisson distributionPoisson regressionLife expectancyStatisticsGoodness of fitMathematicsSample size determinationPoisson samplingPopulationDemographyMonte Carlo methodImportance sampling

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Publication Info

Year: 2015
Type: article
Volume: 15
Issue: 1
Pages: 1240-1240
Citations: 42
Access: Closed

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APA Style

                            
                                
                                    Bernard Rachet, 
                                
                                    Camille Maringe, 
                                
                                    Laura M. Woods
                                
                                et al.
                            
                            (2015). 
                            Multivariable flexible modelling for estimating complete, smoothed life tables for sub-national populations. 
                            BMC Public Health
                            , 15
                            (1)
                            , 1240-1240.
                            https://doi.org/10.1186/s12889-015-2534-3
                        

Identifiers

DOI: 10.1186/s12889-015-2534-3