aquamat | R Documentation |
Example randomized controlled trial data
Data from a randomized controlled trial comparing artesunate to quinine in the treatment of severe falciparum malaria in African children, with outcome in-hospital mortality. Missing values have been imputed with the median.
data(aquamat)
A dataframe with the AQUAMAT data.
Dondorp, Arjen M., et al. "Artesunate versus quinine in the treatment of severe falciparum malaria in African children (AQUAMAT): an open-label, randomised trial." The Lancet 376.9753 (2010): 1647-1657. (The Lancet) Watson, Leopold et al. Collider bias and the apparent protective effect of glucose-6-phosphate dehydrogenase deficiency on cerebral malaria eLife (2019). (eLife) Leopold, Watson et al. Investigating causal pathways in severe falciparum malaria: a pooled retrospective analysis of clinical studies In Press, PLoS Medicine (2019). (PLoS Medicine) Watson, J.A., Holmes, C.C. Graphing and reporting heterogeneous treatment effects through reference classes. Trials 21, 386 (2020). (Trials) Craig, E., Redelmeier, D.A., Tibshirani, R. J. Finding and assessing treatment effect sweet spots in clinical trial data. Arxiv (2020). (arXiv)
data(aquamat) covariates <- as.matrix(aquamat[, 1:(ncol(aquamat)-3)]) treated <- aquamat$treated negative.outcome <- aquamat$negative.outcome positive.outcome <- aquamat$positive.outcome result <- sweetspot(treated, covariates, negative.outcome, positive.outcome, "binomial") plot_sweetspot(result, title="Sweet spot analysis: AQUAMAT trial")
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