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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Network
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Investigating the association between school performance trajectories and offending
1/01/22 → 31/12/22
Project: Research
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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 → 30/09/23
Project: Research
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Research output
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Health and Well-Being in Surviving Congenital Heart Disease Patients: An Umbrella Review With Synthesis of Best Evidence
Cocomello, L., Taylor, K. R., Caputo, M., Cornish, R. P. & Lawlor, D. A., 10 Jun 2022, In: Frontiers in Cardiovascular Medicine.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile -
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
Open Access -
Assessing and predicting adolescent and early adulthood common mental disorders using electronic primary care data: analysis of a prospective cohort study (ALSPAC) in Southwest England
Smith, D., Willan, K., Prady, S., Dickerson, J., Santorelli, G., Tilling, K. M. & Cornish, R. P., 18 Oct 2021, In: BMJ Open. 11, 10, 13 p., e053624.Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile12 Downloads (Pure)
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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