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Introduction to Statistical Modelling

Key Details

Date: 21st January – 25th January 2019
Time: 09:00-17:30
Venue: Rubin Murray Lecture Theater, Main Building, Institute of Psychiatry, Psychology & Neurosciences (IoPPN), King's College London. View Map.

Description

Course Aim
To understand the theoretical basis of generalized linear and generalised mixed models to apply to a diverse range of practical problems. To relate modern statistical models and methods to real life situations and use relevant computer software (STATA) for statistical analysis.
Requirements
This workshop will assume that participants have a good knowledge of basic regression, any syntax based statistical software, such as STATA (such as can be obtained from the BHI Introduction to Programming course running in October). Participants will need to bring their own laptop computer with STATA installed.
Learning Outcomes

Subject Specific: Knowledge, Understanding and Skills

At the end of the course the students should be able to demonstrate subject specific knowledge, understanding and skills and have the ability to:

  • Develop an understanding of the underlying assumptions and principals of statistical modelling
  • Understand the foundation theory of Generalised Linear Models and Generalised Linear Mixed Models
  • Identify appropriate methods of estimation using Bayesian and frequentist approaches
  • Understand different missing data mechanisms and their assumptions
  • Formulate sensible models for a set of data, conduct statistical inference and interpret the results of any analysis.
  • Critique, and adapt, statistical models to cope with atypical error structures and non-independence
  • With limited guidance, deploy established techniques of analysis and enquiry in scientific endeavour

General: Knowledge, Understanding and Skills

On successful completion of this module the student should be able to

  • Understand and explain the role of statistical models.
  • Justify and critique the use of statistical methods for real life applications.
  • Show confidence in the use of STATA to implement statistical models for real life application.

Cost and Booking

Cost
  • External Early bird: £675 (till 15/10/18, price thereafter £750)
  • KCL Staff Early bird: £506.25 (till 15/10/18, price thereafter £562.5)
  • KCL Student Early bird: £337.5 (till 15/10/18, price thereafter £475)
  • Other Student Early bird: £506.25 (till 15/10/18, price thereafter £562.5)
  • Kings Health Partner Early bird: £506.25 (till 15/10/18, price thereafter £562.5)

That is, 50% discount to King's College London PhD students, 25% discount to other students and staff at King's College London and King's Health Partners.

Booking

Booking for this course has now closed.

Course Team

Dr Ioannis Bakolis (Academic Lead)

Ioannis-Bakolis-2Ioannis has extensive experience in biostatistics, epidemiology and  population research and has led the design analysis of various large UK and international studies in the fields of environmental epidemiology, public health and policy evaluation.

His methodological work involves exploring quasi experimental designs for evaluating population health interventions with the use of observational data (Regression Discontinuity design and Bayesian Difference in Differences) as well as modelling techniques for valid causal inference.  

His most recent applied research involves the evaluation of time to change programme, of the UK smoking-free legislation on birth outcomes as well as the effects of the European Union Waste Incineration Directive on the heath of pregnant mothers living close to a UK municipal waste incinerator.

Along with his research work, Ioannis has supervised more than fifteen MSc and PhD students, given more than ten invited talks at academic departments and conferences worldwide (Centre for Disease Control, Royal Statistical Society, International Society of Environmental Epidemiology, International Biometrics Society, World Congress of Epidemiology) and has organized short courses at Imperial College London (ICL), Centre for Disease Control and Prevention (USA) and King’s College London.

Background

After gaining his first degree in Mathematics at Aristotle University of Thessaloniki, Ioannis moved back to Athens and started a two-year MSc in Statistics. In 2006 Ioannis was awarded a Medical Research Council Scholarship to obtain a Master of Health Research, with a specialisation in Health Economics. After completing an MRes Ioannis worked as a researcher at Imperial College and at London School of Hygiene and Tropical Medicine (LSHTM) where he was responsible for the statistical analysis of various international projects of respiratory, nutritional, environmental, genetics and social epidemiology. During that time, Ioannis also obtained a PhD in Statistics and Epidemiology from Imperial College London under the supervision of Professor Peter Burney (Imperial College London) and Dr Richard Hooper (Queen Mary University of London).

Research portal

See Ioannis's research portal here.

Notes

Your place will not be confirmed until payment has been made. Failure to cancel without sufficient notice will forfeit your course fee and access to future courses. If you would like to pay by internal transfer, please contact iop-biostatisticseducation@kcl.ac.uk

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