Statistics in clinical trials. Part 1

Name: Statistics in clinical trials. Part 1
Rating: 4.0 (19 reviews)

Statistics, biostatistics, clinical trials, data analysis in medicine.

Created byBioStat Statistics

Last updated 5/2023

English

What you'll learn

Basic concepts used in statistics in clinical trials
Measures of central tendency and dispersion
Assumptions and verification of parametric tests
Basic parametric and non-parametric tests
Levels of measurement

Course content

1 section • 10 lectures • 1h 2m total length

Introduction to Statistics in Clinical Research4:31
Lesson 1 focuses on introducing the listener to the topics covered in the course. The instructor presents the training plan, its main objective, and specific goals.
Statistician in Clinical Study and Statistical Analysis Plan4:40
During Lesson 2, professional terminology related to clinical research is introduced. The learner finds out what a statistical analysis plan is, who a researcher and a clinical study sponsor are, and what responsibilities lie with a statistician participating in such a project.
Measurement Scales6:19
Lesson 3 introduces the listener to topics related to measurement scales and types of data encountered in a clinical study. The instructor defines different measurement scales, such as ratio or ordinal scales, and highlights how to practically distinguish between such data.
Descriptive Statistics5:20
In Lesson 4, the instructor discusses basic descriptive statistics such as measures of central tendency and dispersion. The listener also learns how such measures are reported in clinical research.
Basics of R Programming2:39
This lesson focuses on introducing the learner to the R environment and RStudio.
Introduction to Statistical Tests4:16
During Lesson 6, the listener learns what a statistical model is, the relationship between hypotheses and statistical tests, and the meaning of p-value. The significance level and test power are also addressed, along with the concept of clinical significance.
Confidence Intervals6:27
In Lesson 7, the learner is familiarized with the important concept of confidence intervals in the context of clinical research. The instructor discusses different types of confidence intervals and emphasizes their applicability.
Statistical Tests6:57
In Lesson 8, the course author addresses the endpoints in a clinical study and informs the listener how they are practically related to statistical tests. The learner will become acquainted with the procedures involved in conducting statistical tests, their place in clinical research, and the concepts of type I and type II errors.
Types of Statistical Tests13:56
In Lesson 9, the learner will explore a range of statistical tests, starting from simple parametric tests and ending with analysis of variance and its assumptions. The instructor will provide detailed explanations of the applications and limitations of each basic statistical test used in clinical research.
Correlations7:32
Lesson 10 focuses on correlation analysis. The listener will become familiar with basic correlation measures and learn about the differences between regression and correlation. The course author will also present a simple scheme for selecting the appropriate correlation coefficient in a conducted study.

Requirements

This course is for beginners.

Description

With this course, you will learn statistical methods that will help in clinical research work. You will master topics such as levels of measurement, measures of central tendency and dispersion, concepts of inference and correlations.

The training level allows for the acquisition of knowledge related to both clinical research and statistics. The course is intended for anyone who wants to learn the concepts of contemporary statistics in relation to clinical research, such as individuals involved in clinical research, scientific researchers, or individuals planning to start their career in this field.

The course is conducted by Andrzej Tomski, PhD - a lecturer and researcher at the University of Silesia, Faculty of Mathematics. He is a graduate of the Jagiellonian University in Krakow, holding a doctorate in mathematics. He specializes in biomathematics and serves as the person responsible for statistical areas in clinical research (analysis plans, method selection, statistical analysis) at BioStat Research and Development Center.

BioStat Research and Development Center is among the commercial scientific institutions with the status of a Research and Development Center (Centrum Badawczo-Rozwojowe, CBR) registered by the Ministry of Entrepreneurship and Technology.

Are you working in clinical research or planning to develop your skills in statistics? Then this training is for you! It aims to familiarize the listener with basic concepts in statistics and learn statistical methods that will help in clinical research work.

Who this course is for:

Individuals aspiring to work in the clinical research industry.
Doctors whose medical and scientific activities are related to clinical researchmployees in the clinical research industry, in positions such as clinical trial assistant (CTA), clinical research associate (CRA), project manager and others related to clinical research practice.
Academics who use statistical analysis in their research.
Students who need basic knowledge of statistics.