Statistical surveys, however well designed, often find that the resulting sample structure does not always reproduce the population structure accurately.In order to get more accurate estimators for the variables of interest, several methods of sample adjustment can be used. Most common among them are...
3.One viewed solely as a piece of statistical or numerical information:got laid off and became another statistic in the slumping economy. [Ultimately from New Latinstatisticus,of statecraft; seestatistics.] American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016...
There are many statistical methods to construct the gopt(x). Most of previous works [8–12] can be classified as static importance sampling methods, which contains two steps: determining the Optimal Shift Vector (OSV), xshift, and then constructing the gopt(x) to calculate the Pfail. Once...
select article Chapter 9 - Statistical Data Editing Book chapterAbstract only Chapter 9 - Statistical Data Editing Ton De Waal Pages 187-214 Chapter preview select article Chapter 10 - Imputation and Inference in the Presence of Missing Data Book chapterAbstract only Chapter 10 - Imputation and Inf...
SampleQC seeks to solve this problem, by first identifying groups of samples with similar QC distributions, then fitting an empirically motivated statistical model to the QC metric data for each group. The model is simple, meaning that it is fast to fit and easy to check. This allows users ...
Algorithmic underpinnings of PsiCLASS include a global subexon graph, statistical methods for cross-sample feature selection, and dynamic programming optimization and voting algorithms for transcript selection at the level of individual samples and over the entire collection of data, which collectively ...
aQuantification and data-acquisition methods used in the public datasets that have been annotated with MAGE-Tab-Proteomics by July 2021.bTools and libraries for the validation and conversion of MAGE-TAB-Proteomics files. Full size image Table 1 Examples of MAGE-TAB-Proteomics files. ...
To demonstrate the scalability of scMerge2 in integrating multi-sample multi-condition single-cell data, we performed scMerge2 on a COVID-19 data collection of consisting of ~5m cells from 1298 samples (963 individuals) PBMC samples from 20 studies worldwide (See Methods). We considered the ...
However, efficient power analysis methods for single cell data and inter-individual comparisons are lacking. Here, we present scPower; a statistical framework for the design and power analysis of multi-sample single cell transcriptomic experiments. We modelled the relationship between sample size, the...
Sampling is used instatistical analysismethodologies to gain insights and observations about a population group. Statisticians can use a variety of sampling methods to build samples that seek to meet the goals of their research studies. Representative samples are one type of sampling method. This meth...