A distributional approach to obtain adjusted comparisons of proportions of a population at risk

A distributional approach to obtain adjusted comparisons of proportions of a population at risk

Abstract Background Dichotomisation of continuous data has statistical drawbacks such as loss of power but may be useful in epidemiological research to define high risk individuals. Methods We extend a methodology for the presentation of comparison of proportions derived from a comparison of means f...

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Bibliographic Details
Main Authors: Odile Sauzet, Jürgen Breckenkamp, Theda Borde, Silke Brenne, Matthias David, Oliver Razum, Janet L. Peacock
Format: Article
Language:English
Published: BMC 2016-06-01
Series:Emerging Themes in Epidemiology
Subjects:
Dichotomisation
Linear model
Logistic model
Quantile regression
Online Access:http://link.springer.com/article/10.1186/s12982-016-0050-2

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http://link.springer.com/article/10.1186/s12982-016-0050-2

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