BASIC STATISTICS FOR BUSY CLINICIANS ( V ) Statistical inference : Hypothesis testing

Some basic issues for clinicians concerning things statistical.

From the title, you may be wondering whether this is another one of those esoter-ic, unintelligible statistics articles. Or whether the author is another pedantic statistician telling you how much you don't know. I hope that you will find that neither of these fears applies. There are no formulas , derivations, or complex figures here. And I am no " statistician, " at least not in the formal se...

A Basic Introduction to Statistical Inference

The traditional emphasis in behavioral statistics has been on hypothesis testing logic. This emphasis is changing rapidly, and is being replaced by a new emphasis on effect size estimation and confidence interval estimation. Before we can understand the source of the discontent with traditional hypothesis testing logic, we have to understand what it is, and where it came from. This brief articl...

SERIES: BASIC STATISTICS FOR BUSY CLINICIANS (X) Bias in clinical epidemiological study designs

Statistical Analysis Design Including Biostatistics

1. The need for statistical data analysis 2. Principles of statistical analysis 2.1. Probability – The Foundation of Statistics 2.2. Basic Axioms of Probability Theory Based on Set Theory. 2.3. Types of Probability Distributions 2.4. Outcome and Expectation 2.5. Estimation and Statistical Inference 2.6. Estimators and their Distributions 3. Strategies for statistical data analysis 3.1. Hypothes...

TESTING STATISTICAL HYPOTHESES UNDER FUZZY DATA AND BASED ON A NEW SIGNED DISTANCE

This paper deals with the problem of testing statisticalhypotheses when the available data are fuzzy. In this approach, wefirst obtain a fuzzy test statistic based on fuzzy data, and then,based on a new signed distance between fuzzy numbers, we introducea new decision rule to accept/reject the hypothesis of interest.The proposed approach is investigated for two cases: the casewithout nuisance p...