Small size sampling?
Journal: International Journal of Basic & Clinical Pharmacology (Vol.1, No. 2)Publication Date: 2012-10-01
Authors : Rakesh R. Pathak;
Page : 118-119
Keywords : Type I error; Type II error; Cohort; Statistical predictors;
Abstract
Though small size samples can be planned and justified based on scarcity of time, money and manpower, there are situations making more accuracy a must and needing larger samples sizes. That's why rare adverse drug reactions are identified only after a drug comes into the market and a large population is exposed to it. There are many more reasons for increasing the sample size and requirement of the study decides which criteria of accuracy should be tightened the most (e.g. avoiding type I error is more important or type II error). [Int J Basic Clin Pharmacol 2012; 1(2.000): 118-119]
Other Latest Articles
- Pediatrics pharmacovigilance: need of a new sub-unit
- Wound healing and anti-inflammatory activity of extract of Ficus racemosa linn. bark in albino rats
- Feed consumption and weight gaining behavior of zucker fatty (fa/fa) rats with single and in combination treatment of clonidine and metformin
- A prospective, open labeled, comparative study to assess the efficacy of montelukast as add on to β2-agonist and inhaled corticosteroid in patients of moderate persistent asthma
- A comparative study of tranexamic acid and ethamsylate in menorrhagia
Last modified: 2013-03-02 19:44:20