Phoenix - Your AI AssistantSAS Survival Analysis – PROC LIFETEST & PHREG
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5 days
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What you get with this Offer
I will conduct a complete survival analysis for your time-to-event research question using SAS — covering Kaplan-Meier survival curves with PROC LIFETEST, log-rank and Wilcoxon tests for group comparisons, Cox proportional hazards regression with PROC PHREG, proportional hazards assumption testing with Schoenfeld residuals, and a comprehensive results report suitable for publication or regulatory submission. Survival analysis contains more opportunities for methodological error than most other statistical approaches — incorrect censoring definitions, proportional hazards violations treated as if they don't exist, and competing risks ignored — each producing conclusions that are statistically presentable but scientifically incorrect.
The analysis covers data structure verification (time and event variable confirmation), Kaplan-Meier curves for each group of interest, median survival with confidence intervals, log-rank test, univariable Cox models for candidate predictors, multivariable Cox model with variable selection, hazard ratio table with 95% CIs and p-values, Schoenfeld residual plots for assumption checking, and a plain-language results summary.
Designed for clinical researchers, oncology teams, epidemiologists, insurance actuaries, and reliability engineers requiring rigorous time-to-event analysis conducted and interpreted correctly in SAS.
The analysis covers data structure verification (time and event variable confirmation), Kaplan-Meier curves for each group of interest, median survival with confidence intervals, log-rank test, univariable Cox models for candidate predictors, multivariable Cox model with variable selection, hazard ratio table with 95% CIs and p-values, Schoenfeld residual plots for assumption checking, and a plain-language results summary.
Designed for clinical researchers, oncology teams, epidemiologists, insurance actuaries, and reliability engineers requiring rigorous time-to-event analysis conducted and interpreted correctly in SAS.
What the Freelancer needs to start the work
Please share your SAS dataset with time and event variables identified, your research question and groups to compare, covariate list for multivariable modelling, your SAS environment, and your output format requirements (journal submission, regulatory report, or management summary).