Sepsis.train: Sepsis Trial training dataset

In SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Description

This is a simulated dataset based on a Phase III clinical trial compared a novel treatment to the standard of care (control) in patients with severe sepsis. The outcome of interest is a binary endpoint indicating subjects death after 28 days of treatment. Available markers include demographic and clinical covariates, i.e., age, time from first sepsis-organ fail to start drug, sum of baseline SOFA socres (cardiovascular, hematology, hepaticrenal, and respiration scores), number of baseline organ failures, pre-infusion apache-ii score, baseline GLASGOW coma scale score, baseline activity of daily living score; and laboratory markers, i.e., baseline local platelets, creatinine, serum IL-6 concentration, local bilirunbin.

Usage

Sepsis.train

Format

Dataset as a data frame

Source

http://multxpert.com

References

Lipkovich I, Dmitrienko A, Denne J, Enas G (2011) Subgroup identification based on differential effect search–a recursive partitioning method for establishing response to treatment in patient subpopulations. Stat Med 30:2601-2621. doi: 10.1002/sim.4289

SubgrpID documentation built on May 2, 2019, 8:02 a.m.