Statistics in clinical trials. Part 2

Name: Statistics in clinical trials. Part 2
Rating: 3.6 (4 reviews)

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

Created byBioStat Statistics

Last updated 6/2023

English

What you'll learn

statistics and its applications in clinical research
details of the statistical analysis plan
how to apply ANCOVA models
how to create a statistical analysis plan in a clinical study
how to create logistic regression models

Course content

1 section • 7 lectures • 47m total length

Statistical Analysis Plan10:08
The first lesson is devoted to the topic of Statistical Analysis Plan (SAP). During this lesson, the listener will review key concepts used in SAP, such as FAS, SAF, or PP, and also become familiar with the structure of such plans and the types of statistical analyses conducted for clinical research purposes.
ANCOVA5:10
The second lesson introduces the listener to the concepts related to regression models in clinical research. During this lesson, the listener will learn about the types of models used in clinical research, with particular emphasis on the ANCOVA model.
ANCOVA guidelines8:57
The third lesson continues the discussion of ANCOVA models – their types and their application in clinical research.
Logistic regression7:15
In the fourth lesson, the listener will gain a detailed understanding of logistic regression and its differences compared to linear regression and ANCOVA.
Evidence Based Medicine7:11
The fifth lesson introduces the listener to the topic of Evidence-Based Medicine (EBM) measures, which include measures such as RR, OR, ARR, and NNT.
Tests in a clinical trial3:34
The sixth lesson discusses the basic statistical tests used in clinical research.
ROC Curves5:31
The seventh lesson is dedicated to the topic of ROC curves, which is closely related to logistic regression.

Requirements

The course "Statistics in Clinical Trials. Part 2" expands on the topics discussed in the first part of this course, delving into more advanced level methods. Through this training, you will learn statistical methods that will aid in clinical research work.

Description

Is your work related to clinical research? Or perhaps you plan to develop your skills in medical statistics? If so, this training is just for you! The training "Statistics in Clinical Trials. Part 2" expands on the topics discussed in the first part of this course, delving into more advanced methods. Through this training, you will learn statistical methods that will aid in clinical research work.

The second part of the course provides a more detailed discussion on commonly used tests and models in clinical research, including ANCOVA, logistic regression, and z-tests. Each statistical topic is also presented in terms of practical calculations in RStudio.

The second part of the training allows you to acquire more advanced knowledge in both clinical research and the statistics involved. The course is designed for individuals who already have a basic understanding of statistics but wish to expand their knowledge and are interested in the models applied in real-world clinical research. The course also addresses the actual challenges of statistical modeling in this field, which are often overlooked in typical statistics courses. We particularly recommend it to individuals involved in clinical research, those who have theoretical knowledge of statistics and want to see its practical application in this field, as well as scientific researchers or individuals with a background in statistics who plan to broaden their knowledge in the areas related to medicine and clinical research.

Who this course is for:

Employees 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..
Doctors whose medical and scientific activities are related to clinical research.
Academics who use statistical analysis in their research
Students who need basic knowledge of statistics.