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SurvBal: compositional microbiome balances for survival outcomes
Ying Li1, Teresa Lee2, Kai Marin2
1Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States.
Summary:
Identification of balances of bacterial taxa in relation to continuous and dichotomous outcomes is an increasingly frequent analytic objective in microbiome profiling experiments. SurvBal enables the selection of balances in relation to censored survival or time-to-event outcomes which are of considerable interest in many biomedical studies. The most commonly used survival models-the Cox proportional hazards and parametric survival models are included in the package, which are used in combination with step-wise selection procedures to identify the optimal associated balance of microbiome, i.e. the ratio of the geometric means of two groups of taxa's relative abundances.
Availability And Implementation:
The SurvBal R package and Shiny app can be accessed at https://github.com/yinglia/SurvBal and https://yinglistats.shinyapps.io/shinyapp-survbal/.
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