𝐇𝐨𝐰 𝐭𝐨 𝐂𝐡𝐞𝐜𝐤 𝐏𝐫𝐨𝐩𝐨𝐫𝐭𝐢𝐨𝐧𝐚𝐥 𝐇𝐚𝐳𝐚𝐫𝐝𝐬 𝐀𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧 𝐢𝐧 𝐂𝐨𝐱 𝐦𝐨𝐝𝐞𝐥, 𝐀 𝐅𝐮𝐥𝐥 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐢𝐧 𝐒𝐭𝐚𝐭𝐚, 𝟐𝟎𝟐𝟒

👉 𝓡𝓮𝓪𝓭 𝓒𝓪𝓹𝓽𝓲𝓸𝓷:
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐜𝐞 𝐨𝐟 𝐭𝐨𝐩𝐢𝐜:
Survival analysis is more frequent between different studies. The Cox PH (Proportional Hazards) model used in survival analysis repeatedly. The Cox model assumes that the hazard ratio for comparing any two specification of predictors is constant over time. But how many percent of studies are informative about PH assumption and which percent of studies check this assumption is a question.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐜𝐞 𝐨𝐟 𝐏𝐇 𝐚𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧:
The results of Cox model without PH assumption is suspicious. Then, in this tutorial, amaardan will try to explain PH assumption and ways to check that.
𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐞𝐜𝐤:
This tutorial use contents of a reference book named, Survival Analysis, A Self Learning Text by D.G. Kleinbaum and M.Klein. Based on the book, there is two way to check PH assumption, graphical plots and goodness of fit test.
𝐖𝐡𝐢𝐜𝐡 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐢𝐬 𝐬𝐮𝐢𝐭𝐚𝐛𝐥𝐞?
Stata exactly. Because students in clinical and hospital environment use this program frequently.
𝐒𝐭𝐞𝐩𝐬:
𝟭- 🅶🆁🅰🅿🅷🅸🅲🅰🅻 🅼🅴🆃🅷🅾🅳🆂:
Log-Log survival time VS survival time.
Log-Log survival time VS log survival time.
Log-Log survival time VS survival time adjusted to some covariates.
Observed VS Predicted survival times.
𝟮- 🅶🅾🅾🅳🅽🅴🆂🆂 🅾🅵 🅵🅸🆃 🆃🅴🆂🆃, based on Schoenfeld residuals. A p-value method.
For Future: Statistical analysis of survival time with Extended Cox model.
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👉𝐒𝐢𝐦𝐢𝐥𝐚𝐫 𝐕𝐢𝐝𝐞𝐨:
1- Survival Time Analysis: Fit Cox PH Regression in Stata: A Self-study tutorial-2024
• Survival Time Analysis...
2- Cox Regression vs Linear and Logistic Regression (Stata) | Which One is better? When Use every One?
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