Model development and apparent performance of model 2, model 3 and model 4 using multivariable logistic regression.

<p>Regression coefficients with 95% confidence intervals, c-statistic, and apparent performance measures of model 2, model 3 and model 4. Age was divided into three subgroups (shown as age, age’ and age”) using restricted cubic spline function to account for non-linearity. *The predictor history of cardio- and cerebrovascular disease is a combination of history of stroke, history of TIA and history of cardiovascular disease. **The predictor cardiovascular risk factors is a combination of diabetes, hypercholesterolaemia and hypertension. CI = confidence interval.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-09-20
DOI
https://doi.org/10.1371/journal.pone.0310769.s004
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Model development and apparent performance of model 2, model 3 and model 4 using multivariable logistic regression.

Figshare
Statistical Methods and Bayesian Inference
article

Model development and apparent performance of model 2, model 3 and model 4 using multivariable logistic regression.

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Abstract

<p>Regression coefficients with 95% confidence intervals, c-statistic, and apparent performance measures of model 2, model 3 and model 4. Age was divided into three subgroups (shown as age, age’ and age”) using restricted cubic spline function to account for non-linearity. *The predictor history of cardio- and cerebrovascular disease is a combination of history of stroke, history of TIA and history of cardiovascular disease. **The predictor cardiovascular risk factors is a combination of diabetes, hypercholesterolaemia and hypertension. CI = confidence interval.</p> <p>(DOCX)</p>

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Statistical Methods and Bayesian Inference
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Model development and apparent performance of model 2, model 3 and model 4 using multivariable logistic regression. · Figshare (2024) | TGRS Research Map | TGRS