PharmD Info

A forum for Indian Pharmacy Professionals

Get statistics help from our members to apply various statistical methods like regression analysis, chi-square test and ANOVA using various statistical software's like SAS, SPSS, and R Language.
  • User avatar
#2227
Among most researchers, and particularly those in the pharmaceutical industry, your alpha (Type I error) should be <=0.05 and your beta (Type II error) should be =>0.80. The alpha reflects the typical "p < 0.05" seen in journal reports and is the error of rejecting a null hypothesis when it is actually true. The beta (Type II error) is its reflection, the error of not rejecting a null hypothesis when the alternative hypothesis is true, and also referred to as power. Both are set so that sample size can be calculated with these parameters in mind. There are good internet sample size calculators using these parameters -- here's one: http://www.stat.ubc.ca/~rollin/stats/ssize/n2.html Hope this helps.

APTI - Central and State wise Election Results - 2[…]

Tata Memorial Centre, ACTREC announces ONE YEAR FE[…]

The DDD is the assumed average maintenance dose pe[…]

The aim of this course is to introduce new users t[…]

PharmD Info - Highlights