This two day short course will provide participants with a good understanding of statistical techniques appropriate for analysing longitudinal and clustered data. Using provided medical and epidemiological datasets, participants will undertake a series of tasks using STATA statistical software which will enable them to gain experience in these techniques and the interpretation of results.
- History of Statistical Models
- Using STATA
- Mixed and Multi-level Models
- Generalised Estimating Equations
Who should attend?
Those who have an interest in advanced training in the statistical analysis of health and medical data such as clinicians, epidemiologists and public health researchers. Those working in other areas such as social science and health economics may also benefit.
|20th - 21st November
Standard registration - $1000
HDR student - $500
|Register by 18 November (opens in a new window)
About the Lecturer
Dr Haider Mannan is a biostatistician at Translational Health Research Institute and the School of Medicine, Western Sydney University. His biostatistical expertise is wide including regression models for clustered and longitudinal data (e.g. multilevel mixed effects, GEE models), continuous, binary (e.g. logistic regression), survival (e.g. Cox regression, Weibull regression), categorical and ordinal outcomes, nonparametric methods, analysis of small studies and state transition models (e.g. Markov simulation/model, latent Markov model), to note a few, all in the context of epidemiological/health studies. He has published several software in peer reviewed journals for disease risk modelling using SAS macros. He has published two monographs,55 peer reviewed articles in epidemiology/biostatistics with 25 as first authored and 24 in category 'A' journals including International Journal of Obesity, Obesity, Appetite, International Journal of Eating Disorders, American Journal of Epidemiology, BMJ Open, Preventive Medicine, European Journal of Preventive Cardiology, Annals of Epidemiology, European Journal of Nutrition, Accident Analysis and Prevention and Statistical Methods in Medical Research. He teaches and coordinates a biostatistics unit for Master of Epidemiology, MPH and MHSc courses during spring semester. This unit focuses on application of commonly used multivariate statistical methods in public health. He has excelled in teaching this unit having obtained a perfect score of 5 in spring 2019. He also teaches introductory biostatistics to MBBS and MD students, conducts internal workshops on multilevel and multivariate regression models.
He earned a Ph.D. in biostatistics and epidemiology from University of Western Australia with distinction in 2008, and then worked for 6 years at the Monash University Department of Epidemiology and Preventive Medicine and James Cook University as Senior Research Fellow.
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