cover image: Methods for Constructing Life Tables for Canada, Provinces and Territories / : Méthodologie des tables de mortalité pour le Canada, les provinces et les territoires

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Methods for Constructing Life Tables for Canada, Provinces and Territories / : Méthodologie des tables de mortalité pour le Canada, les provinces et les territoires

17 May 2016

This revision was also an opportunity to take into account the work conducted in the context of the development of the Human Mortality Database (HMD),1 a database aiming to facilitate comparisons of mortality data between a large number of countries and regions, including Canada.2 While differences remain between the two methods, the increased consistency between the methodology used by Statistics [...] More specifically, where is the observed mortality rate between ages x and x+n (in the case of complete tables, n = 1); is the sum of deaths between ages x and x+n for calendar years a-1, a and a+1 of the reference period, and; is the sum of the population counts estimated on July 1 between ages x and x+n for calendar years a-1, a and a+1 of the reference period. [...] Schematically, and for a given year a, the calculation of the death probability at age 0 ( q ), also called the 1 0 infant mortality rate, is based on a complement to 1 of a product of two ratios, the first representing the probability that a person of exact age x will survive to the end of the calendar year in which that person reaches age x, and the second representing the probability that a per [...] The greater the number of knots, the better the smoothed curve fits the original curve of death probabilities by age; conversely, a small number of knots provide more power to the smoothing. [...] For these complete tables, the number and the position of the knots were instead determined empirically, a series of tests were performed to evaluate both the neutrality and the adjustment of the smoothing method chosen.6 The smoothing method used must have the smallest effect possible on the age-specific life expectancy generated from the smoothed probabilities.
science and technology life expectancy mathematics mortality statistics statistical analysis provinces life expectancy at birth errors and residuals confidence interval logistic model error margin of error standard error mathematical and quantitative methods (economics) life table applied mathematics margins of error b-spline

Authors

Lebel, André, Provost, Martin, Coulombe, Simon, Sherk, Adam

ISBN
9780660053424
Pages
18
Published in
Ottawa, Ontario

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