Apologies for cross posting.
The University of Bristol School of Social and Community Medicine offers a comprehensive programme of high quality intensive short courses.
We have a limited number of places remaining on the following courses and recommend booking now to avoid disappointment:
Introduction to Rates and Survival Analysis
2 day course, running 15-16 May 2017
£440
The course is intended for researchers and analysts who wish to analyse and understand data in the form of rates (events which occur over a specified period of time). We focus on popular methods of analysing these types of data, mainly Poisson and Cox regression. The course covers:
- definition of rates and relation between risks and rates;
- manipulating person-time data in Stata using the st commands;
- analysis of rates using Mantel-Haenszel methods and Poisson regression;
- splitting follow up time to allow for exposures that change with time;
- introduction to survival analysis;
- log rank tests and Cox proportional hazards regression;
- graphical displays for survival analysis;
- Cox models with continuously time-varying covariates.
Introduction to Network Meta-Analysis
2 day course, running 17-18 May 2017
£440
This course is designed for health services researchers, epidemiologists, statisticians, systematic reviewers and decision analysts. The course covers:
- meta-analysis in Stata (refresher);
- introduction to indirect comparisons, and combining direct and indirect evidence;
- performing indirect comparisons in Stata, (including a practical session);
- introduction to network meta-analysis;
- performing Network Meta Analysis (NMA) in Stata, (including a practical session);
- assumptions, ground rules and FAQs for network meta-analysis;
- systematic review to inform NMA;
- assessing inconsistency in NMA;
- NMA using other outcomes;
- explaining and presenting results;
- reporting and critical appraisal of NMA, including group work.
Introduction to Randomised Controlled Trials
5 day course, running 19-23rd June 2017
£1,100
The aim of the course is to provide an introduction to and understanding of the key issues in the design, analysis and reporting of randomised controlled trials (RCTs). The course focuses on randomised controlled trials in the evaluation of healthcare and public health settings. The course covers:
- the need for randomised controlled trials;
- planning and trial design issues;
- pragmatic and explanatory trials;
- hypothesis testing;
- clinical and statistical significance;
- sample size;
- randomisation;
- recruitment to trials;
- cluster trials;
- intention to treat analysis;
- alternative trial designs;
- multiple outcomes;
- adjustment for covariates;
- subgroup analysis;
- CONSORT guidelines on trial reporting;
- qualitative methods in clinical trials;
- feasibility studies;
- health economics in the context of clinical trials;
- ethical issues in trials.
Advanced Survival Analysis and Prognostic Modelling
2 day course, running 3-4th July 2017
£440
The aim of this course is to give an understanding of and practice in implementing parametric survival models and their use in prognostic modelling, and to introduce the concepts of competing risks and relative survival in modelling time-to-event data. The course covers:
- comparison of Poisson, Cox and parametric survival models;
- parametric regression using the Weibull and other distributions;
- flexible parametric survival models and their use in prognostic modelling;
- validation of prognostic models;
- time-varying hazards;
- analysis of competing risks data using cumulative incidence function and an adapted version of the Cox regression model.
Please visit our website for further details, course dates and online bookings:
http://www.bris.ac.uk/social-community-medicine/shortcourse
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