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Running heart failure survival — risk factor analysis analysis...
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Analyze another fileUses logistic regression on 299 heart-failure patients to identify and rank clinical risk factors by standardized effect size. Analyses examine the association between patient characteristics (age, lab values, medical history, comorbidities) and mortality, with focus on effect magnitudes, odds ratios, and statistical significance. Multivariable model accounts for confounding; collinearity flags caveat fragile estimates.
Interactive table visualization
Interactive table visualization
Interactive scatter visualization
Interactive scatter visualization
Interactive scatter visualization
Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
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