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A case cohort study design was used to assess the risk of and multivariate Cox proportional models were used to estimate the adjusted hazard ratio of ESRD.
It did not command cross-class allegiance and fell foul of the electoral system, so seemed relatively harmless (see chart below).It was partly to preserve this state of affairs that the Additional Member System (a fudge of first-past-the-post and proportional models) was chosen for the new Scottish Parliament in 1999.
By doing this, we cannot attain the regression coefficients of marriage cohort from stratified Cox proportional models.
Cox proportional models were used to estimate the risk of death associated with BMI as a continuous variable or categorized using established criteria (normal weight, 18.5-24.9 kg/m(2); overweight, 25.0-29.9 kg/m(2); obese, ≥ 30.0 kg/m(2)).Median follow-up was 40 months, and 1,069 (85%) deaths were observed during this period.
Compared with nonproportional models, proportional models have fewer unknown parameters and thus can be more accurately estimated.
In addition, in proportional models, covariates contribute to <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0012036.e042.PNG" class= inline-graphic"/> and <img src="http://journals.plos.org/plosone/article/asset?id=info:doi/10.1371/journal.pone.0012036.e043.PNG" class="inline-graphic"/> in the same manner.
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The Cox proportional model was used to examine the effect on survival.
This approach is called proportional model.
The residual variability was ascribed to a proportional model.
A proportional model for residual variability was used.
The branch lengths were estimated using the proportional model [ 45].
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