Online Program Home
My Program

Abstract Details

Activity Number: 42 - Novel Statistical Methods with a Biostatistics Leaning
Type: Contributed
Date/Time: Sunday, July 28, 2019 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract #307300 Presentation
Title: Applying Markov Methodology to Investigate Disease Progression in Multiple Sclerosis
Author(s): Anastasia M. Hartzes* and Charity J. Morgan and Stacey S. Cofield
Companies: University of Alabama at Birmingham, Department of Biostatistics and University of Alabama at Birmingham, Department of Biostatistics and University of Alabama at Birmingham, Department of Biostatistics
Keywords: Markov model; lumpability; multiple sclerosis; Patient Determined Disease Steps; PDDS
Abstract:

Modeling disability in multiple sclerosis (MS) is challenging due to its complexity and non-linearity, with utilized methodology having many limitations. Lack of a suitable biomarker has led to relying on statistical models to understand disease progression. Markov methodology has been limitedly applied to the clinically-assessed Expanded Disability Status Score, but not to the patient-reported Patient Determined Disease Steps (PDDS); both measure disease progression and disability. Using semi-annual surveys from the North American Research Committee on Multiple Sclerosis (NARCOMS), PDDS was predicted using Markov models with covariates for time points of interest. PDDS scores were grouped according to scientifically supported lumping schemes. Schemes were assessed for parsimony, clinical usefulness and adherence to Markov property (lumpability); covariates were selected with statistical and scientific justification.

Implementation of Markov methodology has the potential to provide fresh insight into MS disease progression.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program