## Statistics for Clinical Research – A practical Guide

Sensitivity, Specificity, Hazard Ratio, Life Tables, Clinical Statistic, SPSS, SPSS Result Interpretation & Reporting

#### Course Description

You've come to the correct place if you've ever glanced over the results section of a medical study because words like "confidence interval" or "p-value" confuse you. You might be a clinical practitioner who reads research publications to stay current on advancements in your area of expertise or a medical student who is unsure of how to do their own research. Both working professionals and those conducting their own research might gain from having more confidence in their comprehension of statistical analysis and the results.

Any clinical trial's design, conduct, analysis, and reporting all depend heavily on statistics for minimizing and managing biases, confounding variables, and random error measurement. Mastering statistical techniques is essential to comprehending the procedures and outcomes of randomised trials. We covered many important clinical statistical tests like Sensitivity, Specificity, Life Tables, Hypothesis, Probability, Hazard Ratio, Data Types, Distribution and its types and many other basic statistical test.

This course is a good place to start if you want to learn about clinical statistics including SPSS usage, result interpretation and interpretation. Without delving into complicated calculations, it provides a simple introduction to interpreting popular statistical ideas. The greatest method to delve into the world of clinical literature is to be able to interpret and comprehend these ideas. This course fills that need, so let's get started!

#### Goals

• The goals of this course are to provide a basic understanding of statistical analysis and its role in clinical research, to develop the ability to interpret results from clinical studies, and to gain proficiency in the use of SPSS for data analysis. The course covers important clinical statistical tests such as sensitivity, specificity, life tables, hypothesis testing, probability, hazard ratio, and different types of data and distributions. By the end of the course, participants should have a stronger foundation in statistical concepts and be more confident in their ability to critically evaluate and interpret clinical research.

#### Prerequisites

• Basic Mathematical Skills

#### Curriculum

• Course Introduction
03:03
Preview
• Instructor Introduction
02:16
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##### This Course Includes
• 2 hours
• 30 Lectures
• 3 Resources
• Completion Certificate Sample Certificate