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DESCRIPTION:The Course\n\nStatistics is the art and science of summarising
data. \;Statistics play an essential role in all stages of clinical
research from design through to analysis and interpretation. \;\n\nC
linical Trials generate large volumes of data but most of us are looking
for the “punch-line”\; \;Did the new treatment work? \;Were the
two groups being compared the same of different? \;We rely on stati
stics to help us design the most appropriate trial to answer our question
s\, to determine the required sample size and to interpret the results. &
nbsp\;A poorly designed study wastes time\, resources and puts patients a
t unnecessary risk. \;A solid understanding of statistical principal
s is important for all team members\, not just the team statistician\; ho
wever for many of us statistics is nearly a foreign language. \;\n\nT
his course is aimed at non-statisticians who work in clinical research an
d provides an introduction to the statistical methods used for the design
\, conduct and analysis of clinical trials. \;The course emphasises
the application of statistical concepts to clinical research\; aiming to
demystify the subject and equipping delegates with the knowledge to read\
, understand\, interpret and communicate data &\; statistics. \;\n
\nThis is an introductory course and no significant mathematical knowledg
e is required.\n\nDelegates should bring a laptop and calculator to the c
ourse.\n\n \;\n\nLearning Objectives\n\n \;\n\n• Define statistic
al terminology\n\n• Read the statistical parts of a medical journal paper
\n\n• Describe the various types of data and how they are summarised\n\n•
Outline the process for statistical analysis of clinical trials\n\n
\;\n\nCourse Outline\n\nDescribing Data \;\n\n• Types of data\, types
of endpoints \;\n\n• How are data described and presented \;\n\n
• Important issues relating to graphs\, table\, diagrams etc. \;\n\n•
Comparing two groups (means\, odds ratios\, hazard rates/ratio\, Kaplan-
Meier) \;\n\n \;\n\nSignificance Testing\n\n• What is being evalu
ated \;\n\n• Null and alternative hypothesis \;\n\n• Types of err
or - P-values and confidence intervals \;\n\n• Types of test\n\n
\;\n\nPower and Sample Size \;\n\n• What is power? \;\n\n• Power
and sample size \;\n\n• Determinants of sample size \;\n\n• Desig
ning clinical trials from statistical perspective \;\n\n• Statistical
sections of protocols\n\n \;\n\nStatistical Reports \;\n\n• Popu
lations (ITT\, per protocol) \;\n\n• Safety and efficacy presentation
\;\n\n• Describing and understanding statistical significance\n
DTEND:20201117T173000
DTSTAMP:20191210T032548Z
DTSTART:20201117T090000
LOCATION:Cedar Court\, White Waltham\, Maidenhead\, Berkshire\, SL6 3LW\,
SEQUENCE:0
SUMMARY:The Course\nStatistics is the art and science of summarising data.
\;Statistics play an essential role in all stages of clinical resea
rch from...
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