regression models|statistical methods|missing values|causal inference

The course will cover a range of advanced statistical techniques and methodological approaches used in records research. In particular:


	
	More advanced...

Advanced Statistics for Records Research (CHME0015)

The course will cover a range of advanced statistical techniques and methodological approaches used in records research. In particular:


	More advanced regression techniques, including logistic regression and Cox modelling,.
	
	
	Methods for handling missing data with a focus on multiple imputation.
	
	
	Introduction to causal inference: This part will cover
	

	Association vs causation
	
	
	Potential outcome framework
	
	
	Causal diagrams
	
	
	G-methods
	
	
	Assumptions that underlie all causal inferences
	
By the end of the module, you should be able to:


	critically assess and use a variety of statistical methods and approaches relevant to electronic health records research;
	
	
	select appropriate methods to draw causal inferences from data sets;
	
	
	demonstrate an understanding of the principles and assumptions of the various statistical approaches and be able to critically evaluate these;
	
	
	design an appropriate analysis plan to address a specific research question;
	
	
	demonstrate knowledge and understanding to support the choice of appropriate statistical methods to answer a range of questions.
	
You will learn though a combination of lectures and computer-based practicals using Stata and R.

Kirkwood & Sterne (2010) Essential Medical Statistics. Malden, Mass. : Blackwell Science

Kenneth J. Rothman, Sander Greenland, Timothy L. Lash (2008) Modern Epidemiology. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins

Kenward, M. G., & Carpenter, J. (2013). Multiple Imputation and its Application. Chichester: John Wiley & Sons

Kenward, M. G., & Carpenter, J. (2007). Multiple Imputation: current perspectives. Statistical Methods in Medical Research, 16(3), 199-218

Hernán MA, Robins JM (2019). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming