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AHRO Uni

Course

AHRO Masterclass in Data Management

Time limit: 90 days
20 credits

Spots remaining: 20

£1,200 Enroll

Full course description

Introduction 

Clinical trial managers are now working closely with other groups within a clinical trial to ensure that data us collected, managed, and reported in a timely manner, accurately, and securely. Therefore the clinical trial manager must understand good clinical practices, protocol, protocol deviations, metadata, basic SDTM mapping, programming, and Excel. Therefore, building the skills of clinical trial managers is essential 

 

Course Outcome

  • Describe various type of data and  how they are used  
  • Describe confidence interval and p-values 
  • Describe how to identify information to perform basic sample size calculation 
  • Describe and interpret simple analysis 
  • Define correlation and simpler linear regression 
  • Understand the value and opportunities of data 
  • Describe randomisation, blocking and power calculations 
  •  

Course Modules 

  • Normal Distribution 
  • Basic Study design 
  • Confidence Interval 
  • Basic concepts in probability 
  • Introduction to hypothesis test 
  • Analysis of Contingency tables 
  • T-test, non-parametric tests 
  • Correlation and regression 
  • Introduction to data science and results 
  • Using Excel for Statistical & Data Analysis 
  • Data integrity and statistical inference 
  • Getting started with R 
  • Study design: randomisation and blocking 
  • Study design: power calculation 
  • Method comparison & Reproducibility studies 
  •  

Teaching: The course will be taught through series of online tutorials, online formative exercises, series of pod-casts and discussion forums. It is compulsory that student take part in 90% of online tutorials.  Self-directed learning is an essential component of this training. Electronic learning resources will be made available in our VLE (Canvas).  

 

Learning breakdown: Our online courses combine several elements to create a balanced blend of learning. Learners will be able to learn at their own pace during the week by viewing content, engaged in discussions, and completing assignments. It is expected that on the average, 8 to 10 hours per week is required for a course. 

 

Assessment:  Assessment for this course is based on summative assessment which counts to the module mark. Each summative assessment for a module will be made of a 1000 word essays, scientific article of high standard, 15 minutes presentations, and 3000 worded final assignment. 

 

Duration: 12 weeks 

 

Commitment: 8-10 hours per week as follows: 

 
 
 
 
 
 

Activity 
 
 
 
 

Projected time (Hours) 
 
 
 
 

Interactive learning 
 
 

3-4 
 
 
 
 

Discussion 
 
 

1-2 
 
 
 
 

Self-guided Research/Learning 
 
 

1-2 
 
 
 
 

Live sessions 
 
 

1 

 

 

Eligibility:

Graduate or have successfully completed a professional course 

Individuals with professional work experience in health-related institute