The cohort dataset used in the study was adjusted for sex and age by the original investigators of the respective cohorts. All summary-level data utilized in the primary analysis were acquired from the publicly available at http://www.mibiogen.org. GWAS summary data for infertility According to...
A 'Sample Distribution' refers to the distribution of a dataset that is obtained by collecting and converting data into numerical values. It helps in understanding the characteristics of the data, such as center, spread, modality, and shape, which are essential for further analysis and feature ex...
The dataset containing information on PM2.5 was acquired from the UK Biobank's Metadata of Environmental Exposures. To estimate PM2.5 levels for the year 2010 at each address, a Land Use Regression (LUR) model developed as part of the European Study of Cohorts for Air Pollution Effects was ut...
In brief, in each iteration, we generated a clinical trial dataset in which a patient was either treated or untreated (1:1), and each was assigned a specific value of the potential confounder. A binary outcome variable was generated for each patient, and the trial results were analyzed ...
For example, in regression analysis, many researchers say that there should be at least 10 observations per variable. If we are using three independent variables, then a clear rule would be to have a minimum sample size of 30. Some researchers follow a statistical formula to calculate the ...
At the time of the analysis, the mid-March dataset was the latest available microdata file, but the Census Bureau had published more recent aggregate statistics. I compared the vaccine outlook statistics for my sample dataset (Mar 15) to the entire survey dataset for the same time period, ...
Regression analysis for a functional response. Technometrics 1997, 39, 254–261. [Google Scholar] [CrossRef] Zhang, C.Q.; Peng, H.; Zhang, J.T. Two samples tests for functional data. Commun. Stat.-Methods 2010, 39, 559–578. [Google Scholar] [CrossRef] Zhang, J.T. Statistical ...
Simple Regression : Statsample::Regression::Simple Multiple Regression: Statsample::Regression::Multiple Logit Regression: Statsample::Regression::Binomial::Logit Probit Regression: Statsample::Regression::Binomial::Probit Factorial Analysis algorithms on Statsample::Factor module. Classes for Extraction ...
For example, the OSD dataset, with no more than one hundred samples is eclipsed by the TOD dataset, where tens of thousands of samples are present. That fact was taken into consideration in order to obtain an unbiased analytic result. Consequently, the maximum evaluation size was set at 1000...
To scale our analysis to a database of this size, we compared each dataset to a set of three representative datasets from its annotated donor, and flagged any dataset with LOD < 5 for further review (Methods). To exclude the possibility that the representative set for each donor ...