Question

In: Statistics and Probability

Interpret the results in terms suitable for the clinician, describing the statistical strength of evidence and possible clinical importance

Source SS df MS ILLI Model Residual 29.560552 53101. 1783 Number of obs F(1, 248) Prob > F R-squared Adj R-squared Root MSE 1

according to the simple linear regression result above.

Interpret the results in terms suitable for the clinician, describing the statistical strength of evidence and possible clinical importance [Note, as a guide, that a difference of 5 in Methicillin DDDs would be of clinical importance.].

Note: MRSA, in this case, is a binary variable and Methicillin is a continuous variable.

Where I am confused is that since p=0.711 there is no doubt that the null hypothesis is accepted, but since both 5 and -5 lies in the 95%CI, does it indicates that there is still a possibility that clinical importance exists.

Ho: there is no difference between MRSA and non-MRSA children in Methicillin.


Solutions

Expert Solution

According to the results of the simple linear regression:

Methicillin = 1.17*mrca + 74.93

As mrca is a binary variable, we need to look at the coefficient of mrca to see whether there is a difference in Methicillion DDDs between MRSA and non-MRSA children

As the p-value = 0.711 > 0.05, we fail to reject the null hypothesis. Hence, we can conclude that there is no statistical evidence to say that there is a difference.

But if we look at the confidence interval of the coefficient of mrsa, it is (-5.02, 7.35). The true coefficient can be more than 5 or less than -5. This is the interval which is likely to contain the true population coefficient. Hence, there is a possibility that the absolute difference is 5 or more OR a possibility that the absolute value of the coefficient is 5 or more. Hence, we can say that there is a possible clinical importance, however we cannot be sure.


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