Table C2:

Candidate regressions included in super learner analysis of the RTS,S/AS01 data for estimation of censoring distribution. GLM = logistic regression; GAM = generalized additive model; GBM = gradient boosted machine. A variable selection was included in some candidate regression algorithms (third column). In some cases, variables were selected a-priori; in others, variables were selected based on their correlation with the outcome.

Algorithm	Tuning parameters	Covariates
GLM	intercept only	none
GLM	main terms	all
GLM	main terms	five highest correlations
GLM	main terms	study site, treatment, time
GLM	all two-way interactions	study site, treatment, time
GAM	main terms, df=3	five highest correlations
GAM	main terms	five highest correlations
GAM	main terms	study site, treatment, time
GAM	all two-way interactions	study site, treatment, time
Random forest	mtry=5,ntree=1000	All
GBM	int.depth=2, ntree=1000	All