While all tests of statistical significance produce P values, different tests use different mathematical approaches to obtain a P value. Where exact P values are quoted alongside estimates of intervention effect, it is possible to estimate standard errors. SMD, risk difference, rate difference), then the standard error can be calculated asįor 90% confidence intervals divide by 3.29 rather than 3.92 for 99% confidence intervals divide by 5.15. If a 95% confidence interval is available for an absolute measure of intervention effect (e.g. 7.7.7.2 Obtaining standard errors from confidence intervals and P values: absolute (difference) measures For the current version, please go to /handbook/current or search for this chapter here. This is an archived version of the Handbook.
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