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DESCRIPTION:Statistics is the art and science of summarising data.  Statis
 tics play an essential role in all stages of clinical research from desig
 n through to analysis and interpretation. \n\nClinical Trials generate la
 rge volumes of data but most of us are looking for the “punch-line”\;  Di
 d the new treatment work?  Were the two groups being compared the same of
  different?  We rely on statistics to help us design the most appropriate
  trial to answer our questions\, to determine the required sample size an
 d to interpret the results.  A poorly designed study wastes time\, resour
 ces and puts patients at unnecessary risk.  A solid understanding of stat
 istical principals is important for all team members\, not just the team 
 statistician\; however for many of us statistics is nearly a foreign lang
 uage. \n\nThis course is aimed at non-statisticians who work in clinical 
 research and provides an introduction to the statistical methods used for
  the design\, conduct and analysis of clinical trials.  The course emphas
 ises the application of statistical concepts to clinical research\; aimin
 g to demystify the subject and equipping delegates with the knowledge to 
 read\, understand\, interpret and communicate data &amp\; statistics. \n\
 nThis is an introductory course and no significant mathematical knowledge
  is required.\n\nDelegates should bring a laptop and calculator to the co
 urse.\n\nLearning Objectives\n\n• Define statistical terminology\n\n• Rea
 d the statistical parts of a medical journal paper\n\n• Describe the vari
 ous types of data and how they are summarised\n\n• Outline the process fo
 r statistical analysis of clinical trials\n\nCourse Outline\n\nDescribing
  Data \n\n• Types of data\, types of endpoints \n\n• How are data describ
 ed and presented \n\n• Important issues relating to graphs\, table\, diag
 rams etc. \n\n• Comparing two groups (means\, odds ratios\, hazard rates/
 ratio\, Kaplan-Meier) \n\nSignificance Testing\n\n• What is being evaluat
 ed \n\n• Null and alternative hypothesis \n\n• Types of error - P-values 
 and confidence intervals \n\n• Types of test\n\nPower and Sample Size \n\
 n• What is power? \n\n• Power and sample size \n\n• Determinants of sampl
 e size \n\n• Designing clinical trials from statistical perspective \n\n•
  Statistical sections of protocols\n\nStatistical Reports \n\n• Populatio
 ns (ITT\, per protocol) \n\n• Safety and efficacy presentation \n\n• Desc
 ribing and understanding statistical significance\n\n\n
DTEND:20240703T170000
DTSTAMP:20260512T220029Z
DTSTART:20240703T090000
LOCATION:Moor Hall Conference Centre\, The Moor\, Cookham\, Berkshire\, SL
 6 9QH\,
SEQUENCE:0
SUMMARY:Statistics is the art and science of summarising data.  Statistics
  play an essential role in all stages of clinical research from design th
 rough to...
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