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Survival Analysis In Minutes

Upload time-to-event data, get hazard ratios and survival curves. Free.

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Running cox proportional hazards model analysis...

Running cox proportional hazards model analysis...

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How it works

Models time-to-event data using Cox regression. Estimates how covariates affect the hazard rate — e.g., how patient characteristics influence time to recovery or how subscription features affect time to churn.

Use this when your outcome is time-to-event (survival time, time to churn, time to failure) and you have covariates.

If your outcome is binary (not time-based), use Logistic Regression. If you just need retention curves, use Cohort Retention.

Built for: Biostatistician, clinical researcher, reliability engineer, SaaS analyst

Typical data source: Time-to-event data with censoring indicators and covariates

healthcarepharmasaasmanufacturing

What data do you need?

Survival/time-to-event data

time (numeric) event (categorical) age (numeric) treatment (categorical)
12 1 55 Drug A
24 0 42 Placebo
6 1 68 Drug B

Minimum 50 rows · Best with 200-5000 observations

What's in the report?

Performs Cox proportional hazards regression on time-to-event data. Estimates hazard ratios for covariates, produces forest plots, Kaplan-Meier survival curves, cumulative hazard plots, and tests the proportional hazards assumption with Schoenfeld residuals.

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Model Coefficients

Cox regression coefficients with significance tests

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Hazard Ratios (Forest Plot)

HR > 1 increases hazard; HR < 1 is protective

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Kaplan-Meier Survival Curves

Survival probability over time by group

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Cumulative Hazard

Nelson-Aalen cumulative hazard estimate by group

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Proportional Hazards Diagnostics

Schoenfeld residual test — non-significant p-values support PH assumption

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Model Performance

Concordance index, log-rank test, and model fit statistics

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Model Interpretation

Plain-language summary of each covariate's effect on survival

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

Related tools

Need something simpler? Cohort Retention — Just need retention curves without covariates

Need more power? Random Forest — Need non-linear survival modeling

Questions?

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.

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