Dear Allstat members,
The Department of Biostatistics and Health Informatics, Institute of Psychology, Psychiatry and Neuroscience, King's College London offers the following Applied Statistics and Health informatics short courses in the next months.
*****Only a few places left*****
[Apologies for Cross-Posting]
Biostatistics & Health Informatics Upcoming Courses
Monday 11th - Friday 15th June 2018
Clinical Trials<https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics/teaching/courses/Clinical-Trials-A-Practical-Approach.aspx>
This 5 day course is aimed at post-graduate research students and researchers engaged in the conduct of RCTs, through the lens of trials in mental health and neurosciences.
The course provides a comprehensive introduction to trial design features used to mitigate bias, important aspects of trial design, conduct, analysis and reporting, and challenges and solutions for conducting RCTs with some focus on behavioural interventions. Throughout the course the emphasis will be on practical issues faced by researchers in the conduct of RCTs in mental health, and participants will be provided with skills to design and conduct rigorous RCTs in this research area.
Monday 25th - Friday 29th June 2018
Natural Language Processing (NPL)<https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics/teaching/courses/Natural-Language-Processing-NPL.aspx>
Course Overview
This 5 day course is aimed at post-graduate research students and researchers from both applied health sciences and computer science who have come up against the problem that much medical and biomedical data is held in unstructured, textual form, and who wish to handle this data computationally.
The course is relevant to researchers from all areas of applied health looking to incorporate text mining and natural language processing in to their research. It is also relevant to computer scientists collaborating or providing support in an applied health setting. A numerate undergraduate degree is required. Although not necessary, some computer programming experience would be helpful.
Monday 2nd July - Friday 6th July 2018
Introduction to Contemporary Psychometrics for Categorical Data<https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics/teaching/courses/contemporary-psychometrics.aspx>
Course Overview
This is a four days course, followed by one day workshop with invited speakers, and is aimed at PhD students and researchers working in applied psychometrics. The course provides a comprehensive introduction to the fundamental ideas of psychometric theory and their implementation.
Starting from the scale construction and gradually moving to the most recent statistical methods employed in measurement, the course provides a complete methodological framework for applied researchers. The focus is given on categorical data (binary and ordinal). While the classical test theory ideas on reliability and validity, often used in the literature, are presented, the more methodologically sound item response theory counterparts are explained (difficulty and discrimination, item and total characteristic and information curves). For the measurement of the latent variable(s) the course presents both the item response theory approach (IRT; 2-parameter logistic, grated response and partial credit models) as well as the item factor analysis model (IFA).
Monday 16th July - Wednesday 18th July 2018
SEM with STATA<https://www.kcl.ac.uk/ioppn/depts/BiostatisticsHealthInformatics/teaching/courses/SEM-with-STATA.aspx>
This 3-day course is aimed at post-graduate research students, researchers and professionals. The course is an introduction into path analysis and structural equation modelling using the STATA software. The course features an introduction to the logic of SEM, including assumptions, model specification, identification and estimation. Models for continuous and discrete response variables and continuous and discrete latent variables will be covered. Growth, autoregressive, MIMIC, and instrumental variable models will be included.
For more information about our courses, please email: [log in to unmask]<mailto:[log in to unmask]>.
Best wishes,
Daniel
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Daniel Stahl, PhD
Reader in Biostatistics
Head of Statistical Learning Group
Department of Biostatistics and Health Informatics, S2.05
Institute of Psychiatry, Psychology & Neuroscience, King's College London
De Crespigny Park, Box PO20
London SE5 8AF
Email: [log in to unmask]<mailto:[log in to unmask]>
https://kclpure.kcl.ac.uk/portal/daniel.r.stahl.html
Statistical Learning Group
www.kcl.ac.uk/statslg<http://www.kcl.ac.uk/statslg>
Department page
http://www.kcl.ac.uk/iop/depts/biostatistics/index.aspx
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