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Confidence Intervals In Medical Research
confidence intervals in medical research













The general recommendation is that clinical research should not just test hypotheses, but also describe. Numerous articles discuss the hazards of interpreting study results based solely on the P value, raising both practical and philosophical concerns. Confidence intervals contain a wealth of clinically relevant information that is not available in the P value and usual significance testing.

Human, Environmental & Exercise PhysiologyAlthough the 95 CI is most often used in biomedical research, a CI can be calculated for any level of confidence. With a 95 percent confidence interval, you have a 5 percent chance of being wrong. Level of significance is a statistical term for how willing you are to be wrong.

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Typically, the 95% confidence interval is reported but others, including 90% and 99% intervals, are also used. This result could represent that indicated at the bottom left cell in Table 1 (large P value and large effect size). So although intervention D is not statistically significant (just as C) it is of much more interest, and indicates that we have not collected enough data.In the circumstances it would be premature to exclude D as a useful intervention.

confidence intervals in medical research