Literature DB >> 3764224

Calculating expected mortality.

N Keiding, M Vaeth.   

Abstract

The widely used 'person-years method' of calculating expected mortality has been discussed recently by several authors. In studies where mortality is either lower or higher than the standard mortality of some reference population, the use of exposure to death as an estimator of the expected number of deaths will generally lead to bias, always exaggerating the difference between study and standard mortality. This bias is examined in a proportional hazards model. The recent suggestion by Hartz et al.1 of calculating the mortalities of individuals during their 'potential follow-up time' is claimed to be only rarely feasible in practice.

Entities:  

Keywords:  Bias; Critique; Demographic Factors; Error Sources; Measurement; Methodological Studies; Models, Theoretical; Mortality; Population; Population Dynamics; Research Methodology; World

Mesh:

Year:  1986        PMID: 3764224     DOI: 10.1002/sim.4780050405

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

Review 1.  Historical controls and modern survival analysis.

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

2.  Observed and Expected Mortality in Cohort Studies.

Authors:  David B Richardson; Alexander P Keil; Stephen R Cole; Richard F MacLehose
Journal:  Am J Epidemiol       Date:  2017-03-15       Impact factor: 4.897

3.  Overall and cause-specific mortality in a cohort of farmers and their spouses.

Authors:  Srishti Shrestha; Christine G Parks; Alexander P Keil; David M Umbach; Catherine C Lerro; Charles F Lynch; Honglei Chen; Aaron Blair; Stella Koutros; Jonathan N Hofmann; Laura E Beane Freeman; Dale P Sandler
Journal:  Occup Environ Med       Date:  2019-09       Impact factor: 4.402

4.  Years of Life Lost due to exposure: Causal concepts and empirical shortcomings.

Authors:  P Morfeld
Journal:  Epidemiol Perspect Innov       Date:  2004-12-16
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.