Summary of results of linear regression analysis with each single hypoxia marker used as a regressor for its association with expression of individual Notch genes.Khushboo IrshadSaroj Kant MohapatraChitrangda SrivastavaHarshit GargSeem...
以下是输出表格的简要说明: OLS Regression Results === Dep. Variable: Y R-squared: 0.937 Model: OLS Adj. R-squared: 0.936 Method: Least Squares F-statistic: 1.275e+03 Date: Wed, 27 Oct 2023 Prob (F-statistic): 2.87e-37 Time: 15:57:27 Log-Likelihood: -4.0455 No. Observations: 100 ...
## Kernel function: gaussian ## Adaptive bandwidth: 22 (number of nearest neighbours) ## Regression points: the same locations as observations are used. ## Distance metric: Euclidean distance metric is used. ## ## ***Summary of GWR coefficient estimates:*** ## Min. 1st Qu. Median 3rd ...
Which factors determine the volume of material lost from the taper junction of metal-on-metal hip replacements? Summary. Multiple linear regression analysis of fifteen factors showed that bearing surface design was the most significant predictor of high taper material loss in retrieved metal-on-metal...
求翻译:The regression modelling reinforced the initial summary results. Financial literacy improved with work experience and income. This suggests that people learn financial skills through trial and error, to some degree. Additionally, financial experience tends to impact on tolerance to risk. Thus, ...
The dashed red line is fitted regression line between PRS {R}^{2} from PUMAS and external validation. Pearson correlations between two sets of results are shown in each panel. Detailed model-tuning results for all 21 traits are summarized in Additional file 1: Fig. S13-S33 and Additional ...
With the full dataset, Minitab produces regression results for the model at the best step according to the k-fold stepwise R2 criterion. To evaluate the predictive performance of a model with k-fold cross validation, use the k-fold...
(min–max–median/min–max–IQR approach) that has the advantage of being computable regardless of the number of biomarkers and that does not depend on any distributional assumptions, and analyse their performance in comparison with the min–max approach and the logistic regression which is a ...
modelsummaryincludes two families of functions: Model Summary modelsummary: Regression tables with side-by-side models. modelplot: Coefficient plots. Data Summary datasummary: Powerful tool to create (multi-level) cross-tabs and data summaries. ...
Various polygenic risk scores (PRS) methods have been proposed to combine the estimated effects of single nucleotide polymorphisms (SNPs) to predict genetic risks for common diseases, using data collected from genome-wide association studies (GWAS). Some