Research output per year
Research output per year
Description
Simulation study of cluster hierarchical outcomes for bhpm (Bayesian Hierarchical Possion Models for Mulitple Grouped Outcomes with Clustering) model fitting, error estimation, and outcome detection. The dataset contains 4 simulations with varying rates. Code for generating and running the simulations is supplied. Bourne shell scripts for automating the simulations on a linux platform are supplied.
| Date made available | 12 May 2020 |
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| Publisher | University of Strathclyde |
| Date of data production | 20 Jun 2019 |
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A Bayesian hierarchical approach for multiple outcomes in routinely collected healthcare data
Carragher, R., Mueller, T., Bennie, M. & Robertson, C., 10 Sept 2020, In: Statistics in Medicine. 39, 20, p. 2639-2654 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)98 Downloads (Pure) -
Bayesian hierarchical approaches for multiple outcomes in routinely collected healthcare data
Carragher, R. B., Mueller, T., Bennie, M. & Robertson, C., 6 Mar 2020. 1 p.Research output: Contribution to conference › Poster
Open AccessFile
Projects
- 1 Finished
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Rutherford Fund Fellowship at HDR UK: Risk Prediction in Pharmacoepidemiology
Bennie, M. (Co-investigator), Robertson, C. (Co-investigator) & Carragher, R. B. (Fellow)
MRC (Medical Research Council)
14/02/18 → 21/08/21
Project: Research Fellowship