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Table 8 Statistical, hybrid and machine learning methods included in each of the articles

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

 

Statistical methods

Hybrid methods

Machine learning methods

Cox PH

Penalised L1 Cox (Lasso)

Penalised L2 Cox (Ridge)

Elastic Net Cox

Cox Boost

Super Learners

Mahalanobis K-nearest neighbour Kaplan-Meier

RSF

Neural Network

Boosting

SVM

Geng et al. (2014) [26]

✓

         

✓ +

Golmakani et al. (2020) [31]

✓

✓

✓

✓

✓

✓ +

 

✓

 

✓

 

Gong et al. (2018) [27]

✓

      

✓

✓

  

Hu and Steingrimsson (2018) [28]

✓

✓

     

✓

   

Katzman et al. (2018) [29]

✓

      

✓

✓ +

  

Lowsky et al. (2012) [25]

✓

     

✓ +

✓

   

Omurlu et al. (2009) [24]

✓

      

✓

   

Steingrimsson and Morrison (2020) [32]

✓

✓

     

✓

✓ +

  

Wang and Li (2019) [30]

 

✓

✓

 

✓

  

✓

✓ +

  

Xiang et al. (2000) [23]

✓

       

✓

  
  1. +Methods that were developed by the authors of the papers