Sample size and the interpretation of census datadoi:10.1080/19485565.1971.9987952J.DepartmentE.DepartmentVeeversDepartmentInformaworldBiodemography and Social Biology
When exploratory data analysis is informing the product development cycle, it generally takes one of two forms: as an initial interpretation of data generated by a newly launched feature to gauge the feature’s effectiveness, or as the precursor to a larger analysis when considering the development...
In this paper, we question this interpretation. Our analysis shows that neither data mining nor dynamic misspecification of the model under the null nor unmodelled structural change under the null are plausible explanations of the observed tendency of in-sample tests to reject the no-predictability ...
The importance of sample size in the interpretation of the renal biopsy. The number of abnormal glomeruli present in a renal biopsy can be viewed as a binomial distribution. Recognition of this fact permits a quantitative assess... HL Corwin,MM Schwartz,EJ Lewis - 《American Journal of ...
Though the magnitude of the LOD score reflects genotyping confidence, simplifying assumptions prevent direct interpretation of the LOD score as a true likelihood ratio (Methods). Crosscheck is implemented as part of Picard-Tools (https://github.com/broadinstitute/picard), and is routinely used for...
Two popular MR methods, the summary data-based MR method2 and the two-sample MR Steiger method1, are considered. For the summary data-based MR method, the most significant SNP (instead of several SNPs) from a gene is selected as the instrument from the exposure GWAS. For the two-sample...
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Though Epilogos reduces the dimensionality of datasets, its output can still present challenges with regards to exploration and interpretation. To this end, we recommend using higlass to visualize results. This can be an arduous process and thus we include the plotregion command-line utility. Plot ...
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Comparisons of group means for any scale is based on the assumption that the scale is measurement invariant across groups being compared, and a lack of invariance can render between-group comparisons meaningless and lead to incorrect interpretation of differences11,12. Between-group differences (e.g...