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Including individual Customer Lifetime Value and competing risks in treebased lapse management strategies Mathias Valla, Xavier Milhaud, Anani Ayodl OlympioTo cite this version: Mathias Valla, Xavier

How to fill out competing risks in tree-based

How to fill out competing risks in tree-based

1. Identify the competing events that may impact the outcome of interest.
2. Organize your dataset to include variables that define the competing risks.
3. Select an appropriate tree-based model (e.g., random forests or gradient boosting) that can handle competing risks.
4. Define the survival time and event status for each observation in your dataset.
5. Implement a stratification approach in your model to account for different types of competing risks.
6. Train your tree-based model using the prepared dataset, ensuring to include the competing events as covariates.
7. Evaluate the model performance using metrics suitable for competing risks, such as the cumulative incidence function.

Who needs competing risks in tree-based?

1. Researchers analyzing survival data in medical studies where multiple outcomes are possible.
2. Data scientists working in fields such as finance or engineering where different failure modes can occur.
3. Statisticians designing experiments that consider multiple competing outcomes.
4. Health professionals assessing patient prognosis when multiple disease processes may lead to death.

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What is competing risks in tree-based?

Competing risks in tree-based analyses refer to situations where multiple potential outcomes can prevent the event of interest from occurring. In the context of survival analysis or risk modeling, it indicates that the occurrence of one type of event hinders or alters the likelihood of another event happening.

Who is required to file competing risks in tree-based?

In the context of clinical trials or similar studies, researchers, statisticians, or data analysts handling survival data involving multiple outcome events would be required to file competing risks in tree-based analyses.

How to fill out competing risks in tree-based?

To fill out competing risks in tree-based analyses, one should identify the events of interest and the competing events, organize the data appropriately with time-to-event information and the status of each individual regarding the events, and then use appropriate statistical software to construct the tree model that incorporates these competing risks.

What is the purpose of competing risks in tree-based?

The purpose of competing risks in tree-based analyses is to provide a more accurate estimation of event probabilities and understand the relationships between different risks, allowing researchers to account for the influence of competing events on the primary outcome.

What information must be reported on competing risks in tree-based?

Information that must be reported on competing risks in tree-based analyses includes the time-to-event data for each type of event, the status of each subject (censored or event occurred), and the specific risks being considered, as well as any covariates or factors influencing these risks.