Projects per year
Personal profile
Research interests
I am a research fellow in medical statistics and epidemiology in the MRC Integrative Epidemiology Unit. I work on both applied and methodological research projects with a particular focus on analyses in the presence of missing data and the use of administrative and routine health data in research.
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Dive into the research topics where Rosie P Cornish is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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8073 ESRC: ES/T014393/1 The impact of childhood adversity on violent crime in adolescence and early adulthood
1/01/21 → 31/12/22
Project: Research
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Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research
1/04/14 → 31/03/19
Project: Research
Research output
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Assessing and predicting adolescent and early adulthood common mental disorders in the ALSPAC cohort using electronic primary care data
Smith, D., Willan, K., Prady, S., Dickerson, J., Santorelli, G., Tilling, K. M. & Cornish, R. P., 14 May 2021.Research output: Working paper › Working paper and Preprints
Open Access -
Framework for the Treatment And Reporting of Missing data in Observational Studies: The Treatment And Reporting of Missing data in Observational Studies framework
Lee, K., Tilling, K. M., Cornish, R. P., Little, R., Bell, M., Goetghebeur, E., Hogan, J. & Carpenter, J., 1 Jun 2021, In: Journal of Clinical Epidemiology. 134, p. 79-88 10 p.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile -
External validation of the improving partial risk adjustment in surgery (PRAIS-2) model for 30-day mortality after paediatric cardiac surgery
Cocomello, L., Cornish, R. P., Caputo, M. & Lawlor, D. A., 27 Nov 2020, (E-pub ahead of print) In: BMJ Open. (2020) 10, 11, 9 p., e039236.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile
Activities
- 1 Fellowship awarded competitively
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Strategic Skills Jun 2013 pre - Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research.
Rosie P Cornish (Recipient)
1 Apr 2014 → 1 Apr 2019Activity: Other activity types › Fellowship awarded competitively
Thesis
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Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research
Author: Cornish, R., 7 May 2019Supervisor: Tilling, K. (Supervisor) & Macleod, J. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)
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