2.8 Multiple regression Multiple regression analyses were computed to test for specific influences of the predictors on the performance in the cognitive tasks. This resulted in two models with either the d2 and Stroop main scores as dependent variables and all other variables of interest as predictor...
Cytoreductive surgery for recurrent ovarian cancer: A meta-analysis Robert E.Bristow, ...Dennis S.Chi, inGynecologic Oncology, 2009 Multiple linear regression analysis of predictor variables At the bivariate level, there was a strong positive correlation between the proportion of patients in each coho...
最近提出了meta-CART的方法来识别多个调节器之间的相互作用。分析结果是一个树状模型,在这个模型中,研究被划分为更同质的子组,由调节器的组合组成。本文介绍了R软件包metacart,它提供了在R中进行meta-CART分析的用户友好功能。该软件包可以适应固定效应和随机效应的meta-CART,并可以处理二分法、分类法、序数法和连续...
Yun, Ling
Part of R Language Collective 3 I'm trying to use stargazer to create a regression table with the results of two separate regression models. I want the table to display regression coefficients, 95% confidence intervals, t-values, and p-values, and I've managed to get that far: library(...
Thus, when assessing changes in mental illness due to the effects of a pandemic, it is important to consider multiple dimensions to identify risks, rather than simply assessing single dimensions. Our regression analysis further highlighted the importance of flexible countermeasures for mental health ...
Multivariable Cox regression analysis for OS included the International Staging System (ISS), MRD < 1.0 × 10−4, and high-risk cytogenetic abnormalities as variables in addition to the response categories (VGPR, CR, and sCR) to elucidate whether achieving sCR showed a clearer improvement...
I would like to get the R-squared within for a fixed effect regression with multiple fixed effects (let's say Country, Year, Trimester). The least squared dummy variable (LSDV) model (lm in R/ reg in Stata) would only provide the overall R-squared. The same is true if one use...
It has been observed for specific datasets by noisy regression or classification tasks 3.6.1 Support vector machine SVM is utilized for a non-linear classifier. It is described for two classes factors; however, we may increase the SVM technique in multi-class factor through one against each type...
Meta-analysis genome-wide association study (GWAS) of 36,760 cases of melanoma (67% newly genotyped) and 375,188 controls identified 54 significant (P < 5 × 10−8) loci with 68 independent single nucleotide polymorphisms. Analysis of risk estimates across geographical regions and ...