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Introduction to Data Analysis

Title: Introduction to Data Analysis

Date(s): 8 - 9 May 2013

Main Venue:
Institute of Molecular Medicine
Trinity Centre for Health Sciences, St James's Hospital, James's Street, Dublin 8

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Online Application Period: Online Applications closed - Course oversubscribed

 

 

 
Read a report of the Introduction to Data Analysis Course here
 

 

This intensive 2-day practical, hands-on course for researchers in biological and clinical science is designed to provide an overview of data types, simple statistical analysis techniques, and study design, with particular emphasis on the assumptions underlying these techniques. No formal training in data analysis or statistics is required. Some prior exposure to the design of experiments and the analysis of experimental results would be an advantage.

Please note that there are a limited number of places available.

On completion, students will have acquired an understanding of the following areas:

  • Organisation and presentation of data
  • Statistical nomenclature and notation
  • Concepts of centrality and spread
  • The binomial and normal distributions
  • Point estimation and hypothesis testing
  • Parametric and non-parametric hypothesis tests
  • Effect size and statistical power
  • Statistical significance
  • The concepts of correlation and regression

Students should be able to apply these concepts intelligently in practical research applications such as the design of experiments and the analysis of results.


Assessment

  • Format: Computer Based MCQ and Case Study
  • Date (MCQ): Thursday 16 May 2013; 2-3pm
  • Venue (MCQ): Computer room 1.80 (same room as for the course) / Institute of Molecular Medicine
    Trinity Centre for Health Sciences, St James's Hospital, James's Street, Dublin 8

This course is accredited by Trinity College Dublin (2.5 ECTS); participants based in other institutions who require credits to fulfil graduate programme requirements should consult with their research supervisor and/or graduate studies office in order to confirm whether this course is recognised.


 Course Fees

  • Academic Rate: 200 Euros
  • Non-academic rate: 1000 Euros

The registration charges do not include accommodation or travel. Please contact education@molecularmedicineireland.ie for further information


 

 


 

 

Day 1: Wed 8 May; 0915-1730
0915 Descriptive Statistics 1
1015 Break out Session 1
1030  Coffee/Tea
1100 Descriptive Statistics 2
1200 Study Design
1300 Lunch
1400 Hypothesis Testing 1
1500 Coffee/Tea
1515 Lab-based practical session using Minitab 
   

Day 2: Thu 9 May; 0915-1730
0915 Hypothesis Testing 2
1015 Break out Session 2
1030  Coffee/Tea
1100 One-Way ANOVA
1200 Break out Session 3
1230 Correlation
1300 Lunch
1400 Regression
1500 Coffee/Tea
1515 Lab-based practical session using Minitab 
   
  


Course Faculty

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Dr Eleisa Heron (Institute of Molecular Medicine & TCD)

Dr Eleisa Heron is a lecturer in Biostatistical Genomics in the Neuropsychiatric Genetics Research Group in the Dept of Psychiatry in Trinity College Dublin. Dr. Heron obtained BA and MSc degrees in mathematics and a PhD in statistics from Trinity College Dublin before undertaking postdoctoral research in the Dept of Statistics at the University of Warwick, UK. Dr. Heron's research interests lie in applied biostatistics with emphasis on applications in medicine and genetics and also in the use of Bayesian statistical modelling.

Dr Carlos Pinto (Institute of Molecular Medicine & TCD)

Dr Carlos Pinto is the Data Systems Manager in the Neuropsychiatric Genetics Research Group in the Department of Psychiatry and Research Fellow in the Bioinformatics and Biostatistics Unit within the Group. He also acts as the Data Manager for the National Childrens Research Centre. His background is in theoretical physics and his current research interests are in novel data analysis methods for large scale genetic data sets.

 

 

Course Sponsor

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