ABHAYA INDRAYAN
  • Home
  • ContributionUCMS
  • Blogs
  • Unique Contribution of the Book
  • More Blogs
  • Statistical Medicine
  • Guide to Statistical Methods
  • SAMPL guidelines
  • COVID-19
  • COVIDDeathsCases14April
  • IndianExpressYLL
  • Beyond normal
  • AgreementAssessment
  • NewerBiostatisticalMethods
  • Quality of Medical Research
  • Improved guidelines for statistical reporting
  • Statistical significance vs. medical significance
  • Matching health with longevity
  • Home
  • ContributionUCMS
  • Blogs
  • Unique Contribution of the Book
  • More Blogs
  • Statistical Medicine
  • Guide to Statistical Methods
  • SAMPL guidelines
  • COVID-19
  • COVIDDeathsCases14April
  • IndianExpressYLL
  • Beyond normal
  • AgreementAssessment
  • NewerBiostatisticalMethods
  • Quality of Medical Research
  • Improved guidelines for statistical reporting
  • Statistical significance vs. medical significance
  • Matching health with longevity
Search

Picture

Attack on statistical significance: A balanced approach for medical research
​

Abhaya Indrayan
Biostatistics Consultant, Max Healthcare, New Delhi

 
Most medical research around the world is empirical and uses data to derive a result. Many researchers substantially depend on statistical evidence such as P-values to decide whether an effect of a specific factor is present or not. Now, there is a storm around the world, and the P-value, particularly the resulting statistical significance, has been not just questioned but also sought to be abolished altogether. Abandoning statistical significance has the potential to change research in empirical sciences such as medicine forever. This article discusses the arguments in favour and against this contention and pleads that medical scientists present a balanced picture in their articles where P-values have a role but are not as dominant as is currently seen in most publications. The  discussion in the following article would also make medical researchers aware of this raging controversy, help them to understand the involved nuances, and equip them to prepare a better report of their research.
Full article available at
  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7371070/
Powered by Create your own unique website with customizable templates.
  • Home
  • ContributionUCMS
  • Blogs
  • Unique Contribution of the Book
  • More Blogs
  • Statistical Medicine
  • Guide to Statistical Methods
  • SAMPL guidelines
  • COVID-19
  • COVIDDeathsCases14April
  • IndianExpressYLL
  • Beyond normal
  • AgreementAssessment
  • NewerBiostatisticalMethods
  • Quality of Medical Research
  • Improved guidelines for statistical reporting
  • Statistical significance vs. medical significance
  • Matching health with longevity