BMJ · 2011 · 403 citations · 5 references
Public HealthBiostatisticsEpidemiologic MethodsExperimental DesignStatisticsCausal Effect EstimationConfidence IntervalsEffect Size EstimationHypothesis TestingPower AnalysisConfidence Interval AnalysisConfidence Interval ConstructionConfidence Interval EstimationConfidence Interval EvaluationConfidence Interval InterpretationConfidence Interval MethodologyP-values
Confidence intervals (CIs) are widely used in reporting statistical analyses of research data, and are usually considered to be more informative than P values from significance tests.1 2 Some published articles, however, report estimated effects and P values, but do not give CIs (a practice BMJ now strongly discourages). Here we show how to obtain the confidence interval when only the observed effect and the P value were reported. The method is outlined in the box below in which we have distinguished two cases. #### Steps to obtain the confidence interval (CI) for an estimate of effect from the P value and the estimate ( Est ) ##### (a) CI for a difference ##### (b) CI for a ratio
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Zinc supplementation in children with cholera in Bangladesh: randomised controlled trial
Roy Sk, M Jahangir Hossain, Wajiha Khatun et al. · BMJ · 2008 · 108 citations · Full text
Ulf Lindblad, L Ramstam, Lars Rydén et al. · BMJ · 1994 · 47 citations