Sentence examples for missing data p from inspiring English sources

Tajima's D across the mtDNA was −2.607 and differed significantly from the neutral expectation of 0 (S = 80 for coding sites with no missing data, P < 0.0001), as did Fu and Li's D (D = −2.67, P < 0.05).

SES, the age of the child at the time of blood lead measurement, the year in which the child was born, family use of lead-glazed ceramic, and the yearly mean of air lead of the Valley of Mexico significantly predicted the children's blood lead levels (p ≤ 0.001) as well as place of residence and having missing data (p < 0.05; Table 4).

We considered markers that were present in each of MS, NBS, and 1958BC data sets and removed markers with >0.5% missing data, P < 0.01 for allele-frequency difference between NBS and 1958BC, P < 0.05 for deviation from Hardy Weinberg equilibrium, P < 0.05 for differential missingness between cases and controls, or minor allele frequency <0.1% in any data set, leaving 360,557 markers.

Results were similar for a complete-case analysis which did not impute any missing data (P < 0.001 for proADM combined with CURB65 and P = 0.004 for proADM combined with the PSI score).

This question previously showed a just significant change between pre, post and follow up testing (p = 0.012) but changes became insignificant after removing all participants with any missing data (p = 0.081).

Despite this missing data, P-values for our ancestral state reconstructions for the remaining opsin classes suggest that our results are robust.

(1) Use the samples with no missing data at P, Q, and R to calculate the pairwise r at loci P, Q, and R. If the r equals zero, it will be set to a minimum value of 10−5 to facilitate the following computation.

Ns differ between variables due to missing data * P < 0.05**P < 0.001.

According to Theorem 2 (i), for any fraction of missing data (1 - p), there will be a number of loci that is sufficient to guarantee decisiveness.

List wise deletion was used for missing data, and a p value 0.05 was used as the cut-off score.

When these variables were compared by sex and origin of the participants, we found no differences between complete data and missing data (MCAR test, p = 0.2).