Latent variable modelling for complex observational health data
Observational health data are a rich resource that present modelling challenges due to data complexity. If inappropriate analytical methods are used to make comparisons amongst either patients or healthcare providers, inaccurate results may generate misleading interpretations that may affect patient...
Main Author: | Harrison, Wendy Jane |
---|---|
Other Authors: | Gilthorpe, Mark S. ; Baxter, Paul D. |
Published: |
University of Leeds
2016
|
Subjects: | |
Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.704349 |
Similar Items
-
Latent phase-type models for Italy's ageing population
by: Mitchell, Hannah Jane
Published: (2016) -
Modelling unobserved heterogeneity in health and health care : an extended latent class approach
by: Li Donni, Paolo
Published: (2010) -
Role of sanitation in preventing faecal contamination of the domestic environment and protecting health : an observational study
by: Huda, T. M.
Published: (2016) -
Statistical methods to address selection bias in economic evaluations that use patient-level observational data
by: Kreif, Noemi
Published: (2012) -
Making sense of change in primary health care : a complex responsive processes perspective
by: Poole, Joanna
Published: (2006)