| Autor: |
Kumar Gupta, Vijay, Gilra Gupta, Shilpi, Gupta, Puneet |
| Předmět: |
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| Zdroj: |
Indian Journal of Medical Specialities; 2012, Vol. 3 Issue 1, p77-81, 5p |
| Abstrakt: |
Research is a very important component for development of medical profession. Variability among life sciences is the reason why statistical concepts are introduced in medical research to make meaningful conclusions. The two components which a researcher looks for in the results are significance and effect size. p value in very simple terms is the probability of null hypothesis being true. Appropriate statistical tests are used to obtain a test statistic and p value. If the p value is less than the allowable alpha error which is set by the researcher and is most commonly 5% i.e. 0.05, we reject the null hypothesis and accept the alternate hypothesis. This means that the probability of null hypothesis being true (no difference between groups) is less than 5% and at such probability we can say that the difference is not due to chance but due to some inherent difference between the groups, hence statistically significant difference. Confidence interval is created along the mean of the sample to show the effect size. Sample size and variability decide the confidence interval. Narrower confidence intervals have higher precision as we can say that the mean of the population lies between these limits with 95% confidence. Judicious use of these statistical concepts during writing articles and careful understanding during reading articles will help medical research a long way. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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