Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research

Cornish, Rosie P (Principal Investigator)

Status	Finished
Effective start/end date	1/04/14 → 31/03/19
Links	http://gtr.rcuk.ac.uk/projects?ref=MR/L012081/1

Research Groups and Themes

Jean Golding

Access Project

Project entry on Gateway to Research

7 Article (Academic Journal)

Complete case logistic regression with a dichotomised continuous outcome led to biased estimates
Cornish, R. P., Bartlett, J., Macleod, J. A. A. & Tilling, K. M., 1 Feb 2023, In: Journal of Clinical Epidemiology. 154, p. 33-41 9 p.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
10 Citations (Scopus)

157 Downloads (Pure)
Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: A simulation study
Cornish, R., Macleod, J., Carpenter, J. & Tilling, K., 19 Dec 2017, In: Emerging Themes in Epidemiology. 14, 13 p., 14.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
19 Citations (Scopus)

418 Downloads (Pure)
Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data
John, A., McGregor, J., Fone, D., Dunstan, F., Cornish, R., Lyons, R. & Lloyd, K. R., 15 Mar 2016, In: BMC Medical Informatics and Decision Making. 16, 10 p., 35.
Research output: Contribution to journal › Article (Academic Journal) › peer-review

Open Access
File
113 Citations (Scopus)

424 Downloads (Pure)

1 Fellowship awarded competitively

Strategic Skills Jun 2013 pre - Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research.
Cornish, R. P. (Recipient)
1 Apr 2014 → 1 Apr 2019
Activity: Other activity types › Fellowship awarded competitively