Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Replication data for: Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data      
dateReleased:
08-21-2014
downloadURL: http://hdl.handle.net/1902.1/ZMESWNECZW
ID:
hdl:1902.1/ZMESWNECZW
description:
The widely used methods for estimating adult mortality rates from sample survey responses about the survival of siblings, parents, spouses, and others depend crucially on an assumption that we demonstrate does not hold in real data. We show that when this assumption is violated so that the mortality rate varies with sibship size mortality estimates can be massively biased. By using insights from work on the statistical analysis of selection bias, survey weighting, and extrapolation problems, we propose a new and relatively simple method of recovering the mortality rate with both greatly reduced potential for bias and increased clarity about the source of necessary assumptions. See also: Mortality Studies
description:
Gakidou, Emmanuela; King, Gary, 2007, "Replication data for: Death by Survey: Estimating Adult Mortality without Selection Bias from Sibling Survival Data", http://hdl.handle.net/1902.1/ZMESWNECZW, Harvard Dataverse, V4
name:
Gakidou, Emmanuela
King, Gary
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997