Published on in Vol 8 , No 3 (2006) :

The Law of Attrition Revisited – Author's Reply

The Law of Attrition Revisited – Author's Reply

The Law of Attrition Revisited – Author's Reply

Authors of this article:

Gunther Eysenbach

Journals

  1. Sanatkar S, Baldwin P, Huckvale K, Clarke J, Christensen H, Harvey S, Proudfoot J. Using Cluster Analysis to Explore Engagement and e-Attainment as Emergent Behavior in Electronic Mental Health. Journal of Medical Internet Research 2019;21(11):e14728 View
  2. Pratap A, Neto E, Snyder P, Stepnowsky C, Elhadad N, Grant D, Mohebbi M, Mooney S, Suver C, Wilbanks J, Mangravite L, Heagerty P, Areán P, Omberg L. Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. npj Digital Medicine 2020;3(1) View
  3. Nahm E, Bausell B, Resnick B, Covington B, Brennan P, Mathews R, Park J. Online research in older adults: lessons learned from conducting an online randomized controlled trial. Applied Nursing Research 2011;24(4):269 View
  4. Jones J, Weiner J, Shah N, Stewart W. The Wired Patient: Patterns of Electronic Patient Portal Use Among Patients With Cardiac Disease or Diabetes. Journal of Medical Internet Research 2015;17(2):e42 View
  5. Graham A, Papandonatos G, Cha S, Erar B, Amato M, Cobb N, Niaura R, Abrams D. Improving Adherence to Smoking Cessation Treatment: Intervention Effects in a Web-Based Randomized Trial. Nicotine & Tobacco Research 2016:ntw282 View
  6. Yu C, Bahniwal R, Laupacis A, Leung E, Orr M, Straus S. Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. Journal of the American Medical Informatics Association 2012;19(4):514 View
  7. Hochheimer C, Sabo R, Krist A, Day T, Cyrus J, Woolf S. Methods for Evaluating Respondent Attrition in Web-Based Surveys. Journal of Medical Internet Research 2016;18(11):e301 View