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Exact G-tests of the probability of random allele distributions across samples were calculated using GENEPOP V4.0 (10 000 dememorizations and 500 batches of 10 000 iterations).
As discussed before, the PDR threshold value is fixed as 74.75 % (based on the result of T test with the probability of 99.9).
A limitation arising from the analysis strategy and procedures include the use of the stepwise variable selection procedure, which in performing a large number of tests increases the probability of 'false positive' findings and models based on chance findings [ 28].
The effect of the enabling factor (ANC use) was tested by the probability of having an institutional delivery.
The large number of significance tests increases the probability of obtaining false statistically significant results by chance alone.
Most assessed the influence of a positive test result on the probability of disease: they generally found health professionals' estimation of post-test probability to be poor, with a tendency to overestimation.
Doctors tend to overestimate the impact of a positive test result on the probability of disease [ 27, 28] and this overestimation increases with decreasing pre-test probabilities of disease [ 29].
Since an abnormality, that is, suspicious cancer cell is confirmed only after a sequence of diagnostic tests, the probability of false positive is zero.
The test looks at the probability of the transaction and the magnitude to determine whether disclosure is necessary.
A sign test revealed that the probability of observing this proportion by chance is p < 0.0001.
We performed a large number of tests which increases the probability of obtaining spurious significant associations.
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CEO of Professional Science Editing for Scientists @ prosciediting.com