Projects per year
Abstract
There is increasing interest in the use of instrumental variable analysis to overcome unmeasured confounding in observational pharmacoepidemiological studies. This is partly because instrumental variable analyses are potentially less biased than conventional regression analyses. However, instrumental variable analyses are less precise, and regulators and clinicians find it difficult to interpret conflicting evidence from instrumental variable compared with conventional regression analyses. In this paper, we describe three techniques to assess which approach (instrumental variable versus conventional regression analyses) is least biased: negative control outcomes; negative control populations; and tests of covariate balance. We illustrate these methods using an analysis of the effects of smoking cessation therapies (varenicline) prescribed in primary care.
Original language | English |
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Article number | dyx014 |
Pages (from-to) | 2067-2077 |
Number of pages | 11 |
Journal | International Journal of Epidemiology |
Volume | 46 |
Issue number | 6 |
Early online date | 7 Apr 2017 |
DOIs | |
Publication status | Published - 1 Dec 2017 |
Research Groups and Themes
- ICEP
- Brain and Behaviour
- Tobacco and Alcohol
Keywords
- instrumental variables
- causal inference
- pharmacoepidemiology
- negative controls
- electronic medical records
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Dive into the research topics of 'How to compare instrumental variable and conventional regression analyses using negative controls and bias plots'. Together they form a unique fingerprint.Projects
- 3 Finished
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Can instrumental variable analysis overcome confounding by indication? Validation of physicians' prescribing preferences as instrumental variables
Windmeijer, F. (Principal Investigator)
1/07/15 → 1/01/17
Project: Research
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IEU Theme 3
Windmeijer, F. (Principal Investigator), Tilling, K. M. (Researcher) & Tilling, K. M. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research
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MRC UoB UNITE Unit - Programme 6
Munafo, M. R. (Principal Investigator) & Munafo, M. R. (Principal Investigator)
1/06/13 → 31/03/18
Project: Research