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Running stroke risk — clinical and lifestyle factors analysis...
Sent to . Inside: interactive charts, statistical results, R code, and AI insights.
Analyze another fileLogistic regression is fitted with stroke as the binary outcome and available clinical and lifestyle predictors including age, hypertension, heart disease, smoking status, glucose level, BMI, gender, and marital status. Odds ratios with 95% confidence intervals rank each factor's independent contribution, while random forest feature importance provides a scale-invariant ranking. Targeted visualizations highlight age and smoking status effects on stroke occurrence.
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Plain-English interpretation of what the numbers mean, what's significant, and what to do next.
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data: validated R analyses, interactive reports, AI insights, and PDF export.
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