Premium
Standardized Risk and Description of Results from Multivariable Modeling of a Binary Response
Author(s) -
Kim BongRae,
Carter Randy L.,
Rao P. V.,
Ariet Mario,
Resnick Michael B.
Publication year - 2006
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.200510201
Subject(s) - odds , logistic regression , pairwise comparison , odds ratio , context (archaeology) , statistics , multivariable calculus , medicine , logit , mathematics , econometrics , demography , geography , engineering , sociology , archaeology , control engineering
Abstract Descriptions of significant associations found from a logistic regression analysis typically are based on adjusted odds ratios. Unfortunately, odds ratios provide no information about the prevalence of response. In this paper, we justify and recommend using standardized risks, i.e., standardized probabilities, which do provide information about prevalence, in addition to adjusted odds ratios, for pairwise comparisons of the levels of a significant factor. We illustrate the advantages of generally reporting standardized risk estimates, in the context of assessing the effect of blood lead levels during the pre‐school years on occurrence of academic problems in kindergarten. Results are more meaningfully interpreted when accompanied by standardized risk estimates. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)