Does the data in the manuscript
you read appear dodgy? Ever wondered when it is appropriate to use the mean or
the median? Do you want to pass the strict statistical checklists from journal/
grant reviewers? This talk will highlight some of the common pitfalls in the
analysis and presentation of data. Examples will be drawn from the healthcare
literature. At the end of talk, the audience will learn to avoid some of the
common mistakes in the design, analysis, presentation and interpretation of
healthcare data.
Presented by Dr Arul Earnest, Associate Professor,
Biostatistics Unit
Senior Biostatistician, Registry
Sciences Unit,
Department of Epidemiology &
Preventive Medicine, School of Public Health & Preventive Medicine, Monash
University, Australia
Arul’s research interest is in Registry
Sciences, risk adjustment and Bayesian spatio-temporal models. For more than 15
years, Arul has provided consultative and collaborative methodological input to
clinicians and hospital administrators. The outcome for some of this work has
been more than 125 publications in a variety of peer-reviewed international
medical journals, including BMC Health Services Research, BMJ and JAMA. He has extensive experience in conducting
talks on biostatistics and research methodology.
No comments:
Post a Comment