Nova Publishers
My Account Nova Publishers Shopping Cart
HomeBooksSeriesJournalsReference CollectionseBooksInformationSalesImprintsFor Authors
            
  Top » Catalog » Books » Nanotechnology » Micro Electro Mechanical Systems (MEMS): Technology, Fabrication Processes and Applications Chapters » My Account  |  Cart Contents  |  Checkout   
Quick Find
  
Use keywords to find the product you are looking for.
Advanced Search
What's New? more
Research in Sport Psychology
$195.00
Shopping Cart more
0 items
Information
Shipping & Returns
Privacy Notice
Conditions of Use
Contact Us
Notifications more
NotificationsNotify me of updates to A Systematic Approach for Analyzing Electronically Monitored Adherence Data pp. 1-66
Tell A Friend
 
Tell someone you know about this product.
A Systematic Approach for Analyzing Electronically Monitored Adherence Data pp. 1-66 $0.00
Authors:  (G. J. Knafl, K. L. Delucchi, C. A. Bova, K. P. Fennie, K. Ding, A. B. Williams, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA, and others)
Abstract:
We propose a 4-step process for analyzing medication adherence data generated by MEMS and similar electronic monitoring devices. SAS macros developed to support this analysis process are available on the Internet. An overview of these methods and macros is provided. Example analyses are presented to demonstrate these methods using MEMS data on HIV positive subjects' adherence to antiretroviral medications. The four analysis steps are formulated including new extensions for adaptive modeling of the dispersion as well as of the expected value, i.e., variability in adherence as well as its mean. How to use the macros to conduct the example analyses is also described.
The steps of the analysis process are:
1. Group MEMS opening events for each subject into opening counts and rates over disjoint intervals within that subject’s MEMS usage period.
2. Model grouped counts/rates for each subject using adaptive Poisson regression methods, fitting non-linear curves in time to the expected value and dispersion.
3. Cluster estimates of the expected value and dispersion at proportional times (e.g., every 5%) within subjects’ MEMS usage periods into adherence pattern types (e.g., high, moderate, low, improving, deteriorating).
4. Model membership in adherence pattern types in terms of available predictors. 


Available Options:
Version:

  Open Access item.
  Click below PDF icon for free download.

  

This is an Open Access item. Click above PDF icon for free download.
Special Focus Titles
01.Isoprostanes and Neuroprostanes: Production and Role in Different Pathologies
02.Women and War: Opening Pandora’s Box - Intimate Relationships in the Shadow of Traumatic Experiences
03.Deciphering Organic Foods: A Comprehensive Guide to Organic Food Production, Consumption, and Promotion
04.Developing Critical Thinking: A Multi-Dimensional Approach in the Context of South Africa
05.Photonic Crystals: Characteristics, Performance and Applications
06.Embodied Cognition: Theories and Applications in Education Science
07.Slovenia: Social, Economic and Environmental Issues
08.Chemoradiotherapy: Concurrent Uses, Efficacy and Impact on Prognosis
09.Autism Patents and Beyond
10.Advances in Carcinogenesis Research
11.Digital Stories and Their Integration in Early Childhood and Primary Education: Teaching Scenarios and Practical Ideas
12.Azobenzene: Aspects, Applications and Research

Nova Science Publishers
© Copyright 2004 - 2017

A Systematic Approach for Analyzing Electronically Monitored Adherence Data pp. 1-66