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Designing and Analyzing Clinical Trials in R

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Course Report - Designing and Analyzing Clinical Trials in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Clinical trials are scientific studies that verify whether treatments work and are safe. Many organizations use clinical trials, including pharmaceutical companies for the development of new drugs. Biostatisticians play a crucial role in ensuring the success of clinical trial. This course will give an overview of key principles and a practical introduction to commonly used statistical analyses. This course is useful for clinicians and data analysts, as well as researchers interested in designing and analysing clinical trials.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to Statistics in R

What You Will Learn

In this course you will gain an overview clinical trial designs, determine the numbers of patients needed and conduct statistical analyses

In this course you will gain an overview of the important principles and a practical introduction to commonly used statistical analyses

Course Instructors

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Tamuno Alfred

PhD. Biostatistician

Tamuno Alfred is a biostatistician with experience in the pharmaceutical industry and in academia. She has worked on several clinical trials and epidemiological studies. Tamuno has an MSc in Medical Statistics and a PhD in Genetic Epidemiology.
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