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Expand Up @@ -99,7 +99,7 @@ We can now easily transform this diagram into a data table. We order the data in


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Expand Down Expand Up @@ -203,7 +203,7 @@ Doing the calculation by hand once builds intuition. After that, we let a comput

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Expand Up @@ -11,7 +11,7 @@ The first additional feature concerns the type of material out of which the dent
**See the table below:**

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Expand All @@ -23,7 +23,7 @@ When we have a categorical feature, such as the type of material, it's easy to f

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Expand Down Expand Up @@ -73,9 +73,9 @@ On the other hand, if we want to group by a continuous feature we have to define
Below, set the threshold to **brushing time > 6 minutes**. Then use the Kaplan-Meier widget and group by the newly created feature (called 'Selected'). Two curves should appear — one for those that brush more than 6 minutes a day, one for those that brush less. Feel free to experiment with different thresholds and see how the curves change.

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Expand Up @@ -8,15 +8,15 @@ For this example let's use the **German Breast Cancer Study Group** data. The fi


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We already know how to form and compare groups manually. For categorical features, we simply select the feature in the Kaplan-Meier widget. There are three categorical features to choose from: Tumor Grade, Menopausal Status, and Hormonal Therapy.

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Expand Down Expand Up @@ -60,14 +60,14 @@ Using numeric features to form cohorts takes an extra step; we need to define a

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Expand Up @@ -14,11 +14,11 @@ Let's look at the **Rank Survival Features** widget, which forms cohorts by spli
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