A highly developed understanding of using statistical models can help your organisation monitor and improve its performance.
This Advanced Statistical Analysis course has been specially designed to help those with a background in statistics to understand and use more advanced statistical models, to make better sense of their data.
By attending this Advanced Statistical Analysis course, gain a better understanding of the concepts behind advanced statistics; learn how to apply the Bayesian model and utilise more complex statistical methods.
You will practice using R programming on public sector datasets, which will help you gain a firmer understanding of more innovative statistical methods.
NB: Please can delegates bring their own laptops.
|About the Chair: Robert Grant
|Robert Grant is a trainer, coach and writer on statistics and working in data science, especially data visualisation and Bayesian models.
He taught statistics and research methods to postgraduate clinical research students at St George’s Medical School and Kingston University (2010-2017), and contributed to many health services and biomedical research projects in this time. His freelance clients include Harvard Medical School, The Economist, and the Cabinet Office.
He is a fellow of the Royal Statistical Society and served on their statistical computing committee from 2012-16. He worked on clinical audits, analysing hospital quality and safety indicators, at the Royal College of Physicians (1998-2010), then joined and later chaired the NHS England committee overseeing such audit projects. During this time he also contributed project management and statistical advice and analysis to six guidelines published by the National Institute for Health and Care Excellence (NICE).
09:15 - 09:45
09:45 - 10:00
Trainer's Welcome & Clarification of Learning Objectives
10:00 - 11:00
Key Concepts behind Advanced Statistics
- Examine real life public sector statistics and data
- Establish what type of data you should be using
- Review of randomness and trends
- The Data- Generating Process
- Introduction to R programming
- Gain an overview of machine learning: predictive analysis, AI and cloud computing
11:00 - 11:15
11:15 - 12:00
Applying the Bayesian Theory
- Establish areas in modelling and imperfect data where the Bayesian theory can help
- Missing data
- Known biases
- Incorporating prior evidence or opinion
- Intuitive probability-based outputs
12:00 - 13:00
Workshop: Utilising Advanced Statistical Methods Part 1
- Identify different methods in which statistical models can be used
- Hypothesis testing
- Confidence intervals
- Predictive distributions
- Non-linear curves
- Models for different outcomes (binary events or counts)
- Multilevel models for clustered data
14:00 - 16:00
Workshop: Utilising Advanced Statistical Methods Part 2
- Models with more than one predictor
- Constructing such a model for cause and effect or prediction
- Helpful assumptions
- The bias/variance trade-off
- Interactions and non-linear functions of the predictors
16:00 - 16:15
Feedback, Evaluation and Closing Remarks
America Square Conference Centre
1 America Square,
+44 (0)20 7706 7700
A: Unfortunately, we do not accept provisional bookings. Registrations are subject to our terms and conditions. View terms and conditions here
A: Yes. Simply email [email protected] after you have booked the course, with your Purchase Order Number. Please quote your order number and the course you are booked onto.
A: Yes, a two-course hot buffet is served at lunch. Tea and coffee are served throughout the day.
A: Special dietary requirements can be catered for, please ensure you include this in the further information box when registering your place. If you have forgotten to add this, you can also send your requirements to [email protected] or call 0800 542 9440. Please let us know as soon as possible so we can ensure your needs are met.
A: You will receive the joining instructions and reminders, 2 weeks, 1 week and 3 days before the course date. Please check your spam box to see whether the joining instructions were sent there, if not please call 0800 542 9440 so we can have these sent to you immediately.
A: Substitutions may be made at any time but must be made no later than 48 hours prior to the event. Please call 0800 542 9440 or email [email protected] with the replacement's details.
A: Cancellations must be received in writing 30 working days before the date of the event and will be subject to a £195+VAT administration fee. Cancellations received after this time will be subject to the full delegate fee.
A: Speakers presentations are sent a week after the event date. Please contact a member of the UMG team on 0800 542 9440 or [email protected] if it has been more than a week.
A: Yes, all our venues have the latest technology, offer full audio visual support and WI-FI.
A: Why not contact a member of the UMG team on 0800 542 9440 or email [email protected]