Next article Search Articles Instructions for authors  Access Statistics | Citation Manager  
REVIEW ARTICLE  

 Article Access Statistics
    Viewed6553    
    Printed219    
    Emailed3    
    PDF Downloaded769    
    Comments [Add]    
    Cited by others 11    

Recommend this journal


Click on image for details.

 Statistics in clinical research: Important considerations

Howard Barkan
Affiliated Researcher and Consulting Statistician, School of Public Health, University of California Berkeley, Berkeley, CA 94704.7380, Saybrook University, Oakland, CA 94612, USA

Correspondence Address:
Dr. Howard Barkan
1411 Arch Street, Berkeley, CA 94708
USA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-9784.148325

Rights and Permissions

Year : 2015  |  Volume : 18  |  Issue : 1  |  Page : 74-82

 
SEARCH
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles

  Article in PDF (263 KB)
Email article
Print Article
Add to My List
Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies.






[FULL TEXT] [PDF]*
 

 

  Sitemap | Feedback | Disclaimer | Privacy Notice | What's New  
  © Annals of Cardiac Anaesthesia | Published by Wolters Kluwer - Medknow
 Online since 5th January, 2008

 

 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 
 
 Reader Comments
 Email Alert *
  *
 * Requires registration (Free)
 
 REVIEW ARTICLE
 



Howard Barkan
Affiliated Researcher and Consulting Statistician, School of Public Health, University of California Berkeley, Berkeley, CA 94704.7380, Saybrook University, Oakland, CA 94612, USA

Correspondence Address:
Dr. Howard Barkan
1411 Arch Street, Berkeley, CA 94708
USA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0971-9784.148325

Rights and Permissions

Statistical analysis is one of the foundations of evidence-based clinical practice, a key in conducting new clinical research and in evaluating and applying prior research. In this paper, we review the choice of statistical procedures, analyses of the associations among variables and techniques used when the clinical processes being examined are still in process. We discuss methods for building predictive models in clinical situations, and ways to assess the stability of these models and other quantitative conclusions. Techniques for comparing independent events are distinguished from those used with events in a causal chain or otherwise linked. Attention then turns to study design, to the determination of the sample size needed to make a given comparison, and to statistically negative studies.






[FULL TEXT] [PDF]*


        
Print this article     Email this article  

  Sitemap | Feedback | Disclaimer | Privacy Notice | What's New  
  © Annals of Cardiac Anaesthesia | Published by Wolters Kluwer - Medknow
 Online since 5th January, 2008