Home About us Editorial board Search Ahead of print Current issue Archives Submit article Instructions Subscribe Contacts Login 
Visit old site
Home Print this page Email this page Small font size Default font size Increase font size
Users Online: 2065
REVIEW ARTICLE
Year : 2010  |  Volume : 2  |  Issue : 7  |  Page : 288-292

Assessing the regression to the mean for non-normal populations via kernel estimators


1 Division of Biostatistics and Epidemiology, Department of Public Health, Weill Cornell Medical College, New York, USA
2 Division of Biostatistics and Epidemiology, Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA

Correspondence Address:
Majnu John
Division of Biostatistics and Epidemiology, Department of Public Health, Weill Cornell Medical College, 402 East 67th Street, New York, NY 10065
USA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


Rights and PermissionsRights and Permissions

Background : Part of the change over time of a response in longitudinal studies may be attributed to the re­gression to the mean. The component of change due to regression to the mean is more pronounced in the subjects with extreme initial values. Das and Mulder proposed a nonparametric approach to estimate the regression to the mean. Aim : In this paper, Das and Mulder's method is made data-adaptive for empirical distributions via kernel estimation approaches, while retaining the orig­inal assumptions made by them. Results : We use the best approaches for kernel density and hazard function estimation in our methods. This makes our approach extremely user friendly for a practitioner via the state of the art procedures and packages available in statistical softwares such as SAS and R for kernel density and hazard function estimation. We also estimate the standard error of our estimates of regression to the mean via nonparametric bootstrap methods. Finally, our methods are illustrated by analyzing the percent predicted FEV1 measurements available from the Cystic Fibrosis Foundation's National Patient Registry. Conclusion : The kernel based approach presented in this article is a user-friendly method to assess the regression to the mean in non-normal populations.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed1004    
    Printed79    
    Emailed0    
    PDF Downloaded193    
    Comments [Add]    

Recommend this journal