1988
DOI: 10.1136/bmj.296.6632.1313
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Statistics in Medicine: Calculating confidence intervals for relative risks (odds ratios) and standardised ratios and rates

Abstract: explained the rationale for using estimation and confidence intervals in making inferences from analytical studies and described their calculation for means or proportions and their differences.' In this paper we present methods for calculating confidence intervals for other common statistics obtained from medical investigations. The techniques for obtaining confidence intervals for estimates of relative risk are described. These can come either from an incidence study, where, for example, the frequency of a c… Show more

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Cited by 747 publications
(451 citation statements)
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“…Univariate analyses included chisquare statistic and Student's t test. The rate ratios and 95 % confidence intervals for incidence of severe visual impairment were estimated by baseline variables [8] using the MantelHaenszel test for bivariate analyses [9] and stepwise linear logistic regression for multivariate analyses [10]. A p value of less than 0.05 was considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…Univariate analyses included chisquare statistic and Student's t test. The rate ratios and 95 % confidence intervals for incidence of severe visual impairment were estimated by baseline variables [8] using the MantelHaenszel test for bivariate analyses [9] and stepwise linear logistic regression for multivariate analyses [10]. A p value of less than 0.05 was considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…This approach provided SNP allele-or haplotype-specific nominal significance levels. Odds ratios (OR) were computed using the method of Morris and Gardner, 86 with the logit method used to calculate the OR of the combined Portuguese trios and case-control sample.…”
Section: Genotypingmentioning
confidence: 99%
“…9 The standardised mortality ratio (SMR), the ratio between the observed and the expected numbers, was calculated with 95% confidence intervals (95% CIs) assuming a Poisson distribution. 10 …”
Section: Methodsmentioning
confidence: 99%