2010
DOI: 10.1186/1471-2288-10-26
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Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs

Abstract: BackgroundThere is little empirical evidence regarding the generalisability of relative risk estimates from studies which have relatively low response rates or are of limited representativeness. The aim of this study was to investigate variation in exposure-outcome relationships in studies of the same population with different response rates and designs by comparing estimates from the 45 and Up Study, a population-based cohort study (self-administered postal questionnaire, response rate 18%), and the New South… Show more

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Cited by 361 publications
(327 citation statements)
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“…34,35 Further, cohort studies can enhance the specificity of the results, including narrower CIs. 34 Finally, if national survey data sample sizes cannot be increased to improve regional estimates, then an alternative is to supplement current data with more localised surveys in regions that appear to have high or low prevalence in smoking (e.g. 88.5% smoking prevalence in males in West Kimberley).…”
Section: Options For Improving Data Quality For Regional Analysismentioning
confidence: 99%
“…34,35 Further, cohort studies can enhance the specificity of the results, including narrower CIs. 34 Finally, if national survey data sample sizes cannot be increased to improve regional estimates, then an alternative is to supplement current data with more localised surveys in regions that appear to have high or low prevalence in smoking (e.g. 88.5% smoking prevalence in males in West Kimberley).…”
Section: Options For Improving Data Quality For Regional Analysismentioning
confidence: 99%
“…However, the study is representative of all registered births and includes a large cohort involving 97.5% of all live births (89.8% of all Indigenous births) in the NSW and WA perinatal data collection. In addition, comparisons between groups in the cohort should be valid [25].…”
Section: Discussionmentioning
confidence: 99%
“…19 Estimates of the risk of smoking and other factors derived from cohorts that are not representative have been found to be generalisable. 19,20 Directly estimating the excess cancer mortality in Australia's 45 and Up Study of ageing would provide the best estimate of the current burden of smoking-attributable cancer mortality in NSW, but indirect methods are required to estimate the past impact of smoking on cancer mortality. Estimates of smoking-attributable mortality using the SIR method have shown good concordance with estimates using alternative methods for high-income countries outside the US.…”
Section: 11mentioning
confidence: 99%