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st: Course: Advanced Health and Social Statistics; University of York, UK


From   Simon Crouch <[email protected]>
To   "'[email protected]'" <[email protected]>
Subject   st: Course: Advanced Health and Social Statistics; University of York, UK
Date   Mon, 11 Nov 2013 11:22:42 +0000

We are pleased to offer again the Advanced Health and Social Statistics module which looks at statistical techniques suitable for  Multilevel data. The module is a Masters Level course commencing with a four day teaching event at the University of York. The module aims to equip students with the necessary skills and knowledge to facilitate multilevel analysis of data by means of lectures and hands-on analysis of data from real studies, using the statistical software package STATA. The module can be taken on an attendance only basis or credit basis (worth 10 credits at Level 7). 

* Date: A four day teaching event from Wed 4th December to Saturday -7th December 2013 at the University of York and will be followed by a period of private study for those undertaking the exam.

* For more information about the course and to complete an online application form, please visit http://www.york.ac.uk/healthsciences/gradschool/intro-multi/ 

* Prerequisites:  The course is suitable for graduates with a first degree in a health-related or social science discipline and knowledge of regression analysis.

* Fees: A concessionary fee of £600 will apply to academic staff and students. For participants from the commercial sector, the  course fees are £800 for those who do not wish to complete the assessment or £950 for those who  do wish to sit the assessment.

* Content: The module will cover multilevel modelling for the following types of response data: continuous, binary, count and time-to-event data. It will also cover Cluster Randomised Controlled Trials. The course is supported by the Virtual Learning Environment (VLE) with online materials and discussion boards.

* Previous participants enjoyed taking part in the module some of their  comments can be found on the website.

* You can also or contact Student Information Service on 01904 321321; or email [email protected].

*
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*   http://www.stata.com/help.cgi?search
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*   http://www.ats.ucla.edu/stat/stata/


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