Facilitating meta‐analyses by deriving relative effect and precision estimates for alternative comparisons from a set of estimates presented by exposure level or disease category
P N Lee Statistics and Computing (United Kingdom) · Philip Morris International (Switzerland) · +1 more institution
Abstract
Epidemiological studies relating a particular exposure to a specified disease may present their results in a variety of ways. Often, results are presented as estimated odds ratios (or relative risks) and confidence intervals (CIs) for a number of categories of exposure, for example, by duration or level of exposure, compared with a single reference category, often the unexposed. For systematic literature review, and particularly meta-analysis, estimates for an alternative comparison of the categories, such as any exposure versus none, may be required. Obtaining these alternative comparisons is not straightforward, as the initial set of estimates is correlated. This paper describes a method for estimating these…
Citation impact
- FWCI
- 4.22
- Percentile
- 100%
- References
- 16
Authors
4Topics & keywords
- Statistics
- Meta-analysis
- Computer science
- Reliability (semiconductor)
- Set (abstract data type)
- Confidence interval
- Econometrics
- Medicine
- Good health and well-being