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
Peer-to-Peer Bullying and Harassment: Background and Federal Response Efforts
$130.50
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.Returning to Spirituality
02.Parenting: Cultural Influences and Impact on Childhood Health and Well-Being
03.Food Production and Eating Habits From Around the World: A Multidisciplinary Approach
04.Evidence-Based Cosmetic Surgery
05.Alternative Medicine Research Yearbook 2014
06.Cholangiocarcinoma
07.Experimental Models in Glioblastoma Research
08.Essentials of Chronic Kidney Disease
09.Collaborative Learning: Developments in Research and Practice
10.Sustainable Development: Processes, Challenges and Prospects
11.Advances in Sociology Research. Volume 16
12.Gibberellins and Gibberellic Acid: Biosynthesis, Regulation and Physiological Effects

Nova Science Publishers
© Copyright 2004 - 2015

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