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
Biocontrol Agents: Types, Applications and Research Insights
Shopping Cart more
0 items
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)
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:

  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.Chinese Civilization in the 21st Century
02.Conflict and Communication: A Changing Asia in a Globalizing World - Social and Political Perspectives
03.True Islam, Jihad, and Terrorism: The Science of Islamic Foreign Policy
04.The Family Doctors: Images and Metaphors of the Family Doctor to Learn Family Medicine
05.International Book of Erectile Dysfunction
06.Post-Acute and Long Term Geriatric Care Clinical Advisor. Volume II
07.Intelligent Tutoring Systems: Structure, Applications and Challenges
08.Knowledge Creation: Going Beyond Published Financial Information
09.Theory of the Integer and Fractional Quantum Hall Effects
10.Geographic Distribution, Ecological Impact, and Conservation Strategies for North American Crayfish
11.Occurrences, Structure, Biosynthesis, and Health Benefits Based on Their Evidences of Medicinal Phytochemicals in Vegetables and Fruits. Volume 6
12.Innovative Bio-Products for Agriculture: Pig Manure Utilization and Treatment

Nova Science Publishers
© Copyright 2004 - 2016

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