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Reconsider current API for prepare_probs_distribution_data () #132

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Tracked by #130
uriahf opened this issue May 20, 2024 · 3 comments
Open
Tracked by #130

Reconsider current API for prepare_probs_distribution_data () #132

uriahf opened this issue May 20, 2024 · 3 comments

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@uriahf
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uriahf commented May 20, 2024

Relevant for:

  • Histogram for Calibration Curve
  • Performance Data

Possible Outputs:

Naive:
real_positives
real_negatives
real_censored
real_competing

Adjusted to Censoring:
real_positives_adjusted
real_negatives_adjusted
real_competing_adjusted

@uriahf
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uriahf commented May 20, 2024

Alternative approaches for competing risks:

Key point:

  • Should I consider Composite as a built-in approach? (tend to yes)

  • Define the process that will allow all approaches in a unified and usefull manner.
    Key issues:

  • One performance data for each approach? (tend to yes)

  • How to relate to censoring?

@uriahf
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uriahf commented May 21, 2024

  • How the input that informs about the state-model should look like?

@uriahf
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uriahf commented May 21, 2024

  • create_mids_and_counts_data_from_probs() should produce 1-KM/CIF estimates instead of naive counts in case of adjustment for censoring.

  • How to consider counts regarding resource-constraint/ppcr?

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