Validation of a prognostic index for Huntington's disease.

ABSTRACT:

Background

Characterizing progression in Huntington's disease is important for study the natural course and selecting appropriate participants for clinical trials.

Objectives

The aim was to develop a prognostic index for motor diagnosis in Huntington's disease and examine its predictive performance in external observational studies.

Methods

The prediagnosis Neuro-biological Predictors of Huntington's Disease study (N = 945 gene-positive) was used to select a Cox regression model for computing a prognostic index. Cross-validation was used for selecting a model with good internal validity performance using the research sites as natural splits of the data set. Then, the external predictive performance was assessed using prediagnosis data from three additional observation

SUBMITTER: Long JD 

PROVIDER: S-EPMC5318276 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature