Bayesian Hierarchical Models with Applications
14-15th January 2016
CMIST, Humanities Bridgeford Street

Many quantitative researchers in the social and health sciences will be required to analyse data with a hierarchical or multilevel structure, or with missing or mis-measured values, at some point in their careers. Bayesian methods offer a natural approach to handling these types of problems, through their ability to specify distributions both for model parameters and for missing or imprecisely measured data. This two-day course provides researchers who already have some basic understanding of Bayesian methods with a more in-depth treatment of applied Bayesian methods for modelling data with complex structure.

For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=5787


Students new to longitudinal data may want to consider taking the CMIST short course that runs before the following NCRM courses:

Assessing and adjusting for missing data in longitudinal studies
20th April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to assess the implications of non-response for different kinds of datasets that they might use.  Students new to longitudinal data should consider taking the CMIST short course running immediately before this one. The course will not cover multiple imputation in any detail and students particularly interested in this topic should take one of the other specialist NCRM courses.

The course begins with a general overview of methods for handling missing data. It is followed by an introduction to response propensity models and their use in constructing non-response weights; this is linked to a practical session using data from the National Child Development Study (NCDS). After lunch, there is a session on how to estimate R (for representativity) indicators and Receiver Operating Characteristic (ROC) curves for assessing bias and prediction; this is linked to a practical session using data from the Millennium Cohort Study (MCS). The day concludes with a session on assessing missingness with repeated measures data.

For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6117


Causal analysis with longitudinal data using fixed and random effects models
21st  April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to specify and estimate causal models for observational longitudinal data.  
The course begins with a general consideration of, and practical work with models for data collected on two occasions, including differences in differences and Lord’s Paradox. It is followed by extensions to more than two occasions, focussing on the different regression lines that can be estimated. After lunch, random and fixed effects models are considered in detail, again linked to a practical session.

For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6118


Event history analysis
21st  April 2016
CMIST, Humanities Bridgeford Street
It is intended that students attending the course will be able to specify and estimate models for different kinds of event history data in discrete and continuous time.  
The course begins with an explication of, and practical work with models for data collected in discrete time such as the Cox proportional hazards model and a widely used approach via logistic regression. It is followed by extensions to hazard models for repeated episodes and those that account for frailty, again with a practical session. Finally, models for data in continuous time where the focus is on modelling the duration directly are considered, again linked to a practical session.

For more information and to book
http://www.ncrm.ac.uk/training/show.php?article=6119


Training bursaries

The ESRC wishes to improve the standards of research methods and to stimulate the uptake of high quality training courses in research methods across the UK social science community. The bursaries, for up to £500 each, enable staff in the UK social science community engaged in research, teaching research methods or supervising research to update their research skills. Contract researchers working in HEIs are also eligible for the bursaries.

For more information
http://www.ncrm.ac.uk/TandE/bursary/

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