The confidence interval defines the range where it's most likely to be.|Ĭochran’s Q, distributed as a chi-square (X 2) statistic, examines the null hypothesis that all studies of a review are examining the same effect in other words, whether observed differences in results are the result of chance alone (Higgins & Green, 2009 Higgins, Thompson, Deeks, & Altman, 2003). death), with a given intervention, to a 26% increase in events (Davies & Crombie, 2009). Therefore, the observed difference is not statistically significant the true value could be anything from a 15% reduction in events (e.g. The CI captures the value of 'no effect' (i.e. Take, for example, a relative risk reported as 1.03 with a CI (0.85 - 1.26). the null effect: 1 for odds and risk ratios, or 0 for mean differences) (DiCenso, 2001). The results of a study are statistically significant when its confidence interval does not include the value corresponding to no difference between values of interest (e.g. estimate of true value see point estimate) is less precise. A wider CI means the sample is more variable and the point estimate (i.e. The CI is usually reported as '95% CI', which means that 95% of the time the true value for the population lies within the given range of values (BMJ Publishing Group Ltd. the effect of an intervention or treatment). CI, the common abbreviation of confidence interval, provides the likely range of the true value of interest (e.g.
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