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Table 1 Inclusion criteria used for the title, abstract and full-text screening

From: A scoping methodological review of simulation studies comparing statistical and machine learning approaches to risk prediction for time-to-event data

 

Inclusion criteria

An article must satisfy all of the following criteria to be included in the review.

1

Compare at least one machine learning method and at least one statistical method (according to our definitions). Any number of hybrid methods can be compared but a machine learning method and a statistical method must be included.

2

Methods included should be prognostic (risk prediction) models for one, specific outcome in a medical/healthcare context.

3

Methods included must be used to predict survival outcomes.

4

The simulation study must have been used to compare the methods with a time-to-event outcome with censoring.

5

Methods must be evaluated and compared in terms of prognostic ability.

6

Methods must not be for modelling treatment effects, feature selection or genetic variant identification.