By Thabane L.

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**Additional resources for A closer look at the distribution of number needed to treat (NNT) a Bayesian approach (2003)(en)(6s)**

**Example text**

E. 13) P (A|Ei )P (Ei ) i=1 this is also referred to as the total probability theorem. From Eq. 14) Now by inserting Eq. 14 into Eq. 15) In Eq. e. the probability of observing 16 2 Basic Probability Theory a certain state given the true state). e. prior to the knowledge about the event A). As mentioned previously, the Bayes’ rule is extremely important, and in order to facilitate its appreciation a few illustrative applications will be given in the following section. 1—Using Bayes’ Rule for Concrete Assessment A reinforced concrete beam is considered.

E. 13) P (A|Ei )P (Ei ) i=1 this is also referred to as the total probability theorem. From Eq. 14) Now by inserting Eq. 14 into Eq. 15) In Eq. e. the probability of observing 16 2 Basic Probability Theory a certain state given the true state). e. prior to the knowledge about the event A). As mentioned previously, the Bayes’ rule is extremely important, and in order to facilitate its appreciation a few illustrative applications will be given in the following section. 1—Using Bayes’ Rule for Concrete Assessment A reinforced concrete beam is considered.

5 Other Measures Whereas the sample mean, mode and median are central measures of a data set and the sample variance is a measure of the dispersion around the sample mean, it is also useful to have some characteristic indicating the degree of symmetry of the data set. To this end, the sample coefficient of skewness, which is a simple logical extension of the sample variance is suitable. 4) n s3 This coefficient is positive if the mode of the data set is less than its mean value (skewed to the right) and negative if the mode is larger than the mean value (skewed to the left).

### A closer look at the distribution of number needed to treat (NNT) a Bayesian approach (2003)(en)(6s) by Thabane L.

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