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Is correction for multiple testningtesting necessary when almost alleall variables show p-values < 0,05?

If you compare patients and controls with respect to many clinical variables, making a large number of statistical tests and finding that only few of the variables are significantly different, whereas most of the variables show no significant difference between patients and controls, then.

Then it is obvious that the obtained p-values should be corrected for multiple testing. 

However, if most of the variables are signifcantlysignificantly different and very few are the same for patients and controls, shall we correct? If yes, what kind of correction, if any, shall then be used do you propose?

Kind regards,

Erling Mellerup

Is correction for multiple testning necessary when almost alle variables show p-values < 0,05

If you compare patients and controls with respect to many clinical variables, making a large number of statistical tests and finding that only few of the variables are significantly different, whereas most of the variables show no significant difference between patients and controls, then it is obvious that the obtained p-values should be corrected for multiple testing. However, if most of the variables are signifcantly different and very few are the same for patients and controls, what kind of correction, if any, shall then be used?

Kind regards,

Erling Mellerup

Is correction for multiple testing necessary when almost all variables show p-values < 0,05?

If you compare patients and controls with respect to many clinical variables, making a large number of statistical tests and finding that only few of the variables are significantly different, whereas most of the variables show no significant difference between patients and controls.

Then it is obvious that the obtained p-values should be corrected for multiple testing. 

However, if most of the variables are significantly different and very few are the same for patients and controls, shall we correct? If yes, what kind of correction do you propose?

1
source | link

Is correction for multiple testning necessary when almost alle variables show p-values < 0,05

If you compare patients and controls with respect to many clinical variables, making a large number of statistical tests and finding that only few of the variables are significantly different, whereas most of the variables show no significant difference between patients and controls, then it is obvious that the obtained p-values should be corrected for multiple testing. However, if most of the variables are signifcantly different and very few are the same for patients and controls, what kind of correction, if any, shall then be used?

Kind regards,

Erling Mellerup