diabetes {MBNMAtime}

Studies comparing treatments for type 2 diabetes

Description

A dataset from of trials for reduction of haemoglobin A1c (HbA1c) in patients with type 2 diabetes(Ding and Fu 2013). Data are reported in each study arm as mean change from baseline to follow-up. The dataset includes 4 Randomised-Controlled Trials (RCTs), comparing 4 treatments.

Usage

diabetes

Format

A data frame in long format (one row per arm and study), with 28 rows and 7 variables:

• studyID Study identifiers

• treatment Numeric data indicating the treatment to which participants were randomised

• time Numeric data indicating the time at which the observation was measured (given in weeks)

• y Numeric data indicating the mean change from baseline in HbA1c in a study arm

• se Numeric data indicating the standard error for the mean change from baseline in HbA1c in a study arm

• sd Numeric data indicating the standard deviation for the mean change from baseline in HbA1c in a study arm

• n Numeric data indicating the number of participants in each arm at each time-point

Details

diabetes is a data frame in long format (one row per observation, arm and study), with the variables studyID, treatment, time, y, se, sd, and n.

References

Ding Y, Fu H (2013). “Bayesian indirect and mixed treatment comparisons across longitudinal time points.” Statistics in Medicine, 32, 2613-2628. doi:10.1002/sim.5688.