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Course Summary
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Course
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Introduction to Biostatistics for Clinical and Public Health Researchers
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Convenor
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Dr Baki Billah
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Presenters
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Dr Nazmul Zarim
Ms Rosanne Freak-Poli
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Date
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March 3 – 4 2008
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Time
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9:00am - 5:00pm daily
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Venue
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AMREP C3 (Glass Door near the IAN POTTER LIBRARY, Ground Floor, The Alfred Hospital)
Alfred Hospital, Melbourne
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Suitable for
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Those who are involved in medical, clinical and public health research
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Aims
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Provide basic statistical concepts required for clinical and public health research
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Overview
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Following materials will be covered:
- Some basic concepts.
- Descriptive statistics: histogram, bar-diagram, pie-chart, mean, median, mode, standard deviation (SD), range, quartile, box-plot.
- Probability, statistical distributions: normal, t and binomial.
- Sampling distributions, standard error (SE), difference between SD and SE.
- Confidence Intervals: for single mean and single proportion, for the difference in two means and two proportions.
- Test of Hypothesis: test for a single mean and proportion, test for difference in two means and two proportions, paired t-test, chi-squared test.
On attending of this two-day block students will have developed the ability to:
- Describe, summarise, and graph data appropriately.
- Analyse elementary data using a statistical computer package.
- Identify several probability distributions and their parameters.
- Quantify uncertainty in research results using biostatistical methods.
- Apply the appropriate statistical methods to basic research questions.
- Perform simple statistical analyses, report their findings and interpret their results.
- Critically appraise the statistical aspects of research publications in health care.
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Fee
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$800 (excl GST)
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RCNA and RACGP Continuing Education Points apply
While the information contained herein was correct at the date of publication, Monash reserves the right to alter procedures, fees and regulations should the need arise.
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