TITLE

BASIC STATISTICS FOR CLINICIANS: 1. HYPOTHESIS TESTING

AUTHOR(S)
Guyatt, Gordon; Jaeschke, Roman; Heddle, Nancy; Cook, Deborah; Shannon, Harry; Walter, Stephen
PUB. DATE
January 1995
SOURCE
CMAJ: Canadian Medical Association Journal;1/1/1995, Vol. 152 Issue 1, p27
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
No abstract available.
ACCESSION #
35492206

 

Related Articles

  • Decisiones Estadísticas: Bases Teóricas. Badii, M. H.; Guillen, A. // Revista Daena (International Journal of Good Conscience);2010, Vol. 5 Issue 1, p185 

    The basics of decision making in statistics are noted. A brief explanation of hypothesis testing and error calculation with emphasis on confidence interval and statistical power are described.

  • Pitfalls of statistical hypothesis testing: multiple testing.  // BMJ: British Medical Journal;9/6/2014, Vol. 349 Issue 7973, pg5310 

    A quiz about the dangers of statistical hypothesis testing is presented.

  • The use of statistical hypothesis tests in health-care research. Wright, Chris C. // British Journal of Therapy & Rehabilitation;Nov2002, Vol. 9 Issue 11, p433 

    Discusses some of the basic concepts of statistical hypothesis testing, the interpretation and clinical implications of ensuing results, and their role in health care research. Distinction between statistical significance and practical importance; Enabling of researchers to be critical in their...

  • Statistical methods in clinical research: A review for pharmacists. Dranitsaris, George // Journal of Oncology Pharmacy Practice;Sep1998, Vol. 4 Issue 3, p151 

    Provides an overview on the use of basic statistical concepts by oncology pharmacists in evaluating clinical trials and research studies in the U.S. Inclusion of statistical concept relevant to oncology pharmacy practice; Presentation on the concepts of descriptive and inferential statistics;...

  • Statistical hypothesis testing and some pitfalls. Ilakovac, Vesna // Biochemia Medica;Apr2009, Vol. 19 Issue 1, p10 

    Data analysis for research purposes usually aims to use the information gained from a sample of individuals in order to make inferences about the relevant population. Statistical hypothesis testing is a widely used method of statistical inference. It is important to a reader of scientific or...

  • Superiority trials, noninferiority trials, and prisoners of the 2-sided null hypothesis. Sackett, David L. // ACP Journal Club;Mar/Apr2004, Vol. 140 Issue 2, pA-11 

    The article focuses on the difficulties that clinicians face while trying a new treatment technique. They have to decide if the new treatment is better than the treatment they have been using till now or inferior to that. Progress toward this more informative goal has been slow because the...

  • Superiority trials, non-inferiority trials, and prisoners of the 2-sided null hypothesis. Sackett, David L. // Evidence Based Medicine;Mar/Apr2004, Vol. 9 Issue 2, p38 

    This article focuses on the mentality of clinicians about adoption of new method of treatments. When clinicians bump into a new treatment, they ask themselves two questions. Firstly, is it superior to what they are using now and secondly, if it's not superior, is it as good as what they are...

  • Ä°STATÄ°STÄ°K SONUÇLARININ YORUMU: P DEÄžERÄ° VE GÃœVEN ARALIÄžI NEDÄ°R? Kul, Seval // Bulletin of Pleura / Plevra Bülteni;Jan2014, Vol. 8 Issue 1, p11 

    Statistical significance is defined as an importance level of a decision. Clinical and statistical significance differ in medicine. For clinicians, importance of a finding depends on statistical significance which is found after the hypothesis testing. Level of statistical significance is shown...

  • The clinician's guide to the literature Interpreting results. Greenberg, Barbara L.; Kantor, Mel L. // Journal of the American Dental Association (JADA);Jan2009, Vol. 140 Issue 1, p48 

    The article focuses on the fundamental principles in interpreting the statistical results of clinical research. It reveals that clinicians derive inferences and conclusions based on statistics found in clinical research literature. It asserts the value of the fundamental elements of statistics...

  • A Study of Statistical Tests Application to Conjoint Analysis. Kaijie, M. A.; Dai Min // International Journal of Simulation -- Systems, Science & Techno;2016, Vol. 17 Issue 2, p6.1 

    In this paper, based on the theory of conjoint analysis, it introduces the basic theory and method of conjoint analysis. The article focuses on the application and theoretical analysis of conjoint analysis and complements from the perspective of statistical hypothesis testing based on the...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics