Literature DB >> 12179583

The method of expected number of deaths, 1786-1886-1986.

N Keiding.   

Abstract

"The method of expected number of deaths is an integral part of standardization of vital rates, which is one of the oldest statistical techniques. The expected number of deaths was calculated in 18th century actuarial mathematics...but the method seems to have been forgotten, and was reinvented in connection with 19th century studies of geographical and occupational variations of mortality.... It is noted that standardization of rates is intimately connected to the study of relative mortality, and a short description of very recent developments in the methodology of that area is included." (SUMMARY IN FRE) excerpt

Keywords:  Data Adjustment; Demographic Factors; Differential Mortality; Epidemiologic Methods; Estimation Technics; Historical Survey; Methodological Studies; Mortality; Population; Population Dynamics; Population Statistics; Research Methodology; Standardization; Vital Statistics; World

Mesh:

Year:  1987        PMID: 12179583

Source DB:  PubMed          Journal:  Int Stat Rev        ISSN: 0306-7734            Impact factor:   2.217


  8 in total

1.  Harmless omission in the standardization of demographic rates.

Authors:  J M Hoem
Journal:  Eur J Popul       Date:  1995-12

2.  Modelling converging hazards in survival analysis.

Authors:  Peter Barker; Robin Henderson
Journal:  Lifetime Data Anal       Date:  2004-09       Impact factor: 1.588

Review 3.  Historical controls and modern survival analysis.

Authors:  N Keiding
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

4.  Prevalent cohort studies and unobserved heterogeneity.

Authors:  Niels Keiding; Katrine Lykke Albertsen; Helene Charlotte Rytgaard; Anne Lyngholm Sørensen
Journal:  Lifetime Data Anal       Date:  2019-07-03       Impact factor: 1.588

5.  Unemployment and mortality in Denmark, 1970-80.

Authors:  L Iversen; O Andersen; P K Andersen; K Christoffersen; N Keiding
Journal:  Br Med J (Clin Res Ed)       Date:  1987-10-10

6.  Methods for comparing center-specific survival outcomes using direct standardization.

Authors:  Kevin He; Douglas E Schaubel
Journal:  Stat Med       Date:  2014-01-17       Impact factor: 2.373

7.  Multiple primary tumours: incidence estimation in the presence of competing risks.

Authors:  Stefano Rosso; Lea Terracini; Fulvio Ricceri; Roberto Zanetti
Journal:  Popul Health Metr       Date:  2009-04-01

8.  Risk Models for Breast Cancer and Their Validation.

Authors:  Adam R Brentnall; Jack Cuzick
Journal:  Stat Sci       Date:  2020-03-03       Impact factor: 2.901

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.