A model-based approach to sample size estimation in recent onset type 1 diabetes.

ABSTRACT:

Background

The area under the curve C-peptide following a 2-h mixed meal tolerance test from 498 individuals enrolled on five prior TrialNet studies of recent onset type 1 diabetes from baseline to 12 months after enrolment were modelled to produce estimates of its rate of loss and variance.

Results

Age at diagnosis and baseline C-peptide were found to be significant predictors, and adjusting for these in an ANCOVA resulted in estimates with lower variance.

Conclusions

Using these results as planning parameters for new studies results in a nearly 50% reduction in the target sample size. The modelling also produces an expected C-peptide that can be used in observed versus expected calculations to estimate the presumption of benefit in ongoing trials. Copyright © 2016 J

SUBMITTER: Bundy BN 

PROVIDER: S-EPMC5117187 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature