domains / families / data / univariate-multivariable-cox-regression

univariate-multivariable-cox-regression

separate

Use when running prognostic survival analysis on a clinical cohort with time-to-event data to estimate univariate and multivariable Cox proportional hazards models, export result tables, and generate forest plots. NOT for: nomogram construction, calibration curves, time-dependent ROC analysis, or model training/feature selection beyond the built-in univariate screening rule.

When to use

• run univariate and multivariable Cox regression on a clinical survival cohort;
• identify prognostic clinical variables associated with time-to-event outcomes;
• export hazard-ratio tables and then render forest plots from those results.
• "Run single-factor and multi-factor Cox regression on this survival dataset."
• "Find prognostic variables from my clinical cohort and give me forest plots."
• "Use futime and fustat to do Cox regression for age, stage, and risk."

When not to use

• nomogram construction or calibration analysis;
• time-dependent ROC analysis or external prognostic model validation;
• feature discovery pipelines beyond the built-in univariate screening rule;
• non-survival outcomes such as binary diagnosis or differential expression.

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