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[Untitled]

Authors :
Virginie Rondeau
Daniel Commenges
Source :
Lifetime Data Analysis. 6:229-235
Publication Year :
2000
Publisher :
Springer Science and Business Media LLC, 2000.

Abstract

The use of martingale residuals have been proposed for model checking and also to get a non-parametric estimate of the effect of an explanatory variable. We apply this approach to an epidemiological problem which presents two characteristics: the data are left truncated due to delayed entry in the cohort; the data are grouped into geographical units (parishes). This grouping suggests a natural way of smoothing the graph of residuals which is to compute the sum of the residuals for each parish. It is also natural to present a graph with standardized residuals. We derive the variances of the estimated residuals for left truncated data which allows computing the standardized residuals. This method is applied to the study of dementia in a cohort of old people, and to the possible effect of the concentration of aluminum and silica in drinking water on the risk of developing dementia.

Details

ISSN :
13807870
Volume :
6
Database :
OpenAIRE
Journal :
Lifetime Data Analysis
Accession number :
edsair.doi...........97efbc25a2adb3074184db9f074f0c60
Full Text :
https://doi.org/10.1023/a:1009637608473