MRes Translational Medicine Academic year 2012/2013 Division of ...

MRes in Clinical Research (Pathway in Translational Medicine) - Academic Year 2012-2013Welcome week(1 st – 5 th Oct 2012)Core Module 1(8 th -12 th October 2012)Core Module 2(14 th – 18 th Jan 2013)Core Module 3(18 th – 22 rd March 2013)Pathway specific Module 4(13 th – 17 th May 2013)Inductions (Heath and Safety; Security Badges;Library),Introductory talksProjects discussion.Introduction to Clinical ResearchMedical GovernanceCritical AppraisalMedical StatisticsBench to BedsideClinical Trial Design and ImplementationClinical and Experimental Medicine Tools in ClinicalResearchTherapeutics (inflammatory, cardiovascular,respiratory, metabolic, oncology and neuropsychiatricdiseases.Specialist Module (Translational Medicine)1 st Exam(3 rd Dec2012)2 nd Exam(Mar/April2013)3 rd Exam(June 2013)Part-time students can choose to attend all modules and relative exams during the first year of thecourse or they can choose to; Attend core modules 1 and 2 during year 1 (and sit the first written exam during the sameyear) Attend core module 3 and specialist module 4 during year 2 and sit the second and thirdwritten exams during the second year of the course.Module 1: Introduction to Clinical Research, Governance and Medical StatisticsModule convenors: Dr Karen Mosley, Dr Mary Hickson, Dr Les HusonThe first three days of the module, along with a compulsory e-learning element (see page 18/19),aim to provide students with a thorough grounding in the methods required to design andimplement a clinical research study. The module also covers all aspects of Good Clinical Practice(GCP) and regulatory requirements and provides students with the necessary tools to facilitate aclinical research project from conception to end of study. A workshop with the library will cover thecriteria for searching the literature in a systematic and comprehensive manner and a workshop oncritical appraisal will cover how to critically evaluate research papers to confidently identify robustand valid published literature.During the second part of the module (days 4 and 5) students will learn basic statistical skills to carryout descriptive data analysis, to estimate parameters such as means and variances, and to carry outand interpret hypothesis tests. Statistical concepts covered in this module will include randomisationand blinding, sample size calculations and specific types of statistical significance test comparingmeans and medians, proportions, type I and type II errors, p-values, confidence intervals, simplelinear regression and correlation analysis. Lectures will be complemented by a number of practicalclasses on data analysis.Dr Les Huson will be available for one-to-one discussions of any statistical issue arising during thecourse of your work, and in particular issues connected with your project. To book a session pleasecontact Dr Huson via email - (l.huson@imperial.ac.uk).16