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- How to make adjusted survival curve?

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3 weeks ago
(228 views)

5 REPLIES

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3 weeks ago
(205 views)

I do not know what you mean by 'adjusted survival curve.'

I interpret your question to mean that you want to fit a sample of life data from two populations to a distribution model.

- Select
**Analyze**>**Reliability and Survival**>**Life Distribution**. - Select the
**Compare Groups**tab at the top of the dialog. - Select the data column with the
*life data*and click**Y, Time to Event**. - Select the data column with the
*groups*and click**Grouping**. - If you have censoring, select the data column with the
*exact/censored indicator*and click**Censor**. Then select the*censor code*. - Click
**OK**. - Click the
*red triangle*next to Life Distribution and select**Show Survival Curve**. - Select a
**Distribution**model and appropriate**Scale**(e.g., lognormal).

Please see **Help** > **Books** > **Reliability and Survival** > **Chapter 3: Life Distribution** for more details. See also other chapters for the **Survival**, **Fit Parametric Survival**, and **Fit Proportional Hazards** platforms in case you need such analyses.

Learn it once, use it forever!

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3 weeks ago
(199 views)

Excuse me: I clarify the question. There are two groups of patients unbalanced by age: in one of them mostly young, in the other - mostly older. How to make adjusted (by age) Kaplan-Meier curves?

P.S. In any case: where is **Compare Groups** tab?

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3 weeks ago
(188 views)

Do you want to compare the survival of the two groups, account for patient age (covariate), or both?

The Compare Groups tab is in the launch dialog for Life Distribution. You should see it as you followed my detailed instructions.

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3 weeks ago
(186 views)

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3 weeks ago
(172 views)

Please see **Help** > **Books** > **Reliability and Survival** > **Chapter 15: Fit Proportional Hazards**.

See also **Help** > **Sample Data** > **Reliability/Survival** > **VA Lung Cancer** data table. Run the saved **Fit Proportional Hazards** table script to see an example of the **Baseline Survival at the Mean** plot.

Learn it once, use it forever!