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Table 1 Overview of all variable selection methods considered here

From: Variable selection for disease progression models: methods for oncogenetic trees and application to cancer and HIV

Name

Short name

Short description of criterion for selected events

Univariate Frequency

freq

Frequency above cutoff

Method of Brodeur

brod

High frequency, compared to uniform distribution

Pairwise Correlation

cor

Event pairs with high correlation

Fisher’s Exact Test

fisher

Event pairs with significant dependence

Fisher’s z-transformation

z

Event pairs with significant dependence

Weights of Edmonds’ Algorithm

weight

Event pairs with large weights in algorithm

Conditional Probabilites in Tree

OT

Large conditional probabilities in oncogenetic tree

Independence in Tree

single

Remove single independent events in fitted tree

Largest Clique Identification

lcliq

Member of the largest subgraph

Maximal Clique Identification

mcliq

Member of the maximum weight subgraph