09.Machine learning03.Survival - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

  • When the aim is to predict time to an event with maximum precision, often ignoring causal relations. For the latter, check time-to-event modeling

2. Input: what kind of data does the method require?

  • An outcome and its corresponding date, along with a group of predictors

3. Algorithm: how does the method work?

Model mechanics

Describing in words

Describing in images

Describing with code

Breaking down equations

Suggested companion methods

Learning materials

  1. Books
  2. Articles

4. Output: how do I interpret this method's results?

Typical tables and plots and corresponding text description

  • HR: Compared to [referent], [intervention] presented [or, hr, (95% CI)] times the risk [p value] of [outcome].

Metaphors

Reporting guidelines

5. SporeData-specific

Templates

Data science functions

General description

Clinical areas of interest

Variable categories

Linkage to other datasets

Limitations

Related publications

SporeData data dictionaries

References

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