Tennant, PWG, Arnold, KF, Berrie, L et al. (2 more authors) (2017) Advanced Modelling Strategies: Challenges and pitfalls in robust causal inference with observational data. In: Advanced Modelling Strategies: Challenges and pitfalls in robust causal inference with observational data. Advanced Modelling Strategies: Challenges and pitfalls in robust causal inference with observational data, 17-20 Jul 2017, Leeds, UK. Leeds Institute for Data Analytics , Leeds ISBN 978-1-5272-1208-4
Abstract
Advanced Modelling Strategies: Challenges and pitfalls in robust causal inference with observational data summarises the lecture notes prepared for a four-day workshop sponsored by the Society for Social Medicine and hosted by the Leeds Institute for Data Analytics (LIDA) at the University of Leeds on 17th-20th July 2017.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Peter WG Tennant, Kellyn Arnold, Laurie Berrie, George TH Ellison and Mark S Gilthorpe. All rights reserved. No part of this publication may be reproduced in any form or by any means without the prior written permission of the publisher and copyright owner. |
Keywords: | Statistical modelling; Observational data |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Genetics, Health and Therapeutics (LIGHT) > Division of Epidemiology & Biostatistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 04 Aug 2017 10:41 |
Last Modified: | 04 Aug 2017 10:41 |
Status: | Published |
Publisher: | Leeds Institute for Data Analytics |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119802 |