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Strictly speaking, the sample sizes of case and control should be greater than 4 for SWang(1,4) for consideration of the reliability of skewness and kurtosis.
Recently the problem of real time monitoring of (emerging) communicable diseases has gained growing attention, with a few new methods proposed to estimate R. One method proposes the analysis of the distribution of the sizes of case clusters to provide indications of changes in R. Specifically, increases in R(<1) translate on average into larger case cluster sizes [21], [27] [29].
In (4) and (5), symbols p and n are, respectively, the sizes of case data and control data, while in (4), (5), (6), and (7), P and N are, respectively, the sets of case data and control data.
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We consider three scenarios with different sizes of cases and controls.
Diagnostic standard of each study, sample sizes of cases and controls, genotype numbers, allele frequency in both cases and controls, and P values of HWE in controls were summarized in Table S2.
When sample sizes of cases and controls increase to 1000 vs. 1000, which is currently not a problem for most genetic association studies, the model has almost full power to detect three-locus epistasis of different forms.
The sample sizes of case-1, case-2 and control are 157, 140 and 151, respectively.
Means and standard deviations of the estimates of the disequilibrium coefficients and the corresponding LOD score from using various sizes of case-control samples.
a: weighted according to the matched sizes of cases.
This is repeated for our study by changing the sample sizes of cases and controls accordingly.
Larger sample sizes of cases and controls will definitely increase power to detect COPD susceptibility loci.
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