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----Apologies for cross-posting----- There are limited places available on the following courses being run by the Bristol Medical School, University of Bristol: Advanced Epigenetic Epidemiology (11 May 2018): This course aims to provide students with the knowledge and skills necessary to design, execute and interpret more advanced epigenetic epidemiological analyses. It is intended for individuals engaged in population-based epigenetic studies and would like an introduction to analysis approaches to answer more advanced questions. They should therefore be very familiar with the topics presented in our 'Epigenetic Epidemiology<http://www.bristol.ac.uk/medical-school/study/short-courses/epigenetic-epidemiology/>' short course. This includes, in particular, practical knowledge of using R to analyse microarray data. Please visit the short course website for more details: http://www.bristol.ac.uk/medical-school/study/short-courses/advanced-epigenetic-epidemiology/ <http://www.bristol.ac.uk/medical-school/study/short-courses/advanced-epigenetic-epidemiology/>Introduction to Rates and Survival Analysis (14-15 May 2018): The course aims to give students a grounding in the theory behind the methods most commonly used to analyse rates and survival-time data, as well as extensive hands-on experience of their application in Stata software. Please note that 'repeated measures' analyses, in which multiple events or measurements are recorded in the same person over time, are not covered in this course. Applicants will need to have studied or had practical experience of analysis of repeated measures. 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. Prerequisites - Participants should have a knowledge of regression analyses and their implementation in Stata of at least the level achieved in the 'Introduction to Linear and Logistic Regression Models<http://www.bristol.ac.uk/medical-school/study/short-courses/introduction-to-linear-and-logistic-regression-models/>' short course. Computer practicals are an important component of the course and will use the Stata<http://www.bristol.ac.uk/social-community-medicine/statagradplan/> software package. Familiarity with Stata is a pre-requisite for this course. Please visit the Bristol Medical School short course website for further details on these and other short courses in Population Health Sciences: http://www.bristol.ac.uk/medical-school/study/short-courses/introduction-to-rates-and-survival-analysis/ You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.