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data-handling

scikit-survival primarily handles right-censored data.

  • Skills
  • Scientific
  • 0

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/data-handling && curl -fsSL https://doutorai.pt/data/lib/skills__data-handling.md -o .claude/skills/data-handling/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Data Handling and Preprocessing

## Understanding Survival Data

### The Surv Object

Survival data in scikit-survival is represented using structured arrays with two fields:
- **event**: Boolean indicating whether the event occurred (True) or was censored (False)
- **time**: Time to event or censoring

```python
from sksurv.util import Surv

# Create survival outcome from separate arrays
event = np.array([True, False, True, False, True])
time = np.array([5.2, 10.1, 3.7, 8.9, 6.3])

y = Surv.from_arrays(event=event, time=time)
print(y.dtype)  # [('event', '?'), ('time', '<f8')]
```

### Type

- 🔒 Full content on the Pro plan (€7.99/month) -

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