In a multiple regression model, an increase in the number of independent variables: A. Always improves the model's accuracy. B. May lead to overfitting. C. Has no effect on the model. D. Always simplifies the model. 相关知识点:
The number of independent variables and events for multiple logistic regression analysisI read the paper by Igase et al. [1 ], conductingdoi:10.1016/j.jns.2013.08.004KawadaTomoyukiJournal of the Neurological Sciences
Multiple sexually transmitted infections (STIs) have threatened human health for centuries. Most STIs spread not only through sexual (horizontal) transmission but also through mother-to-child (vertical) transmission. In a previous work (Ito et al. 2019),
In the lookback case, the Wallace cannot be used because the shared memory is needed by the simulation kernel, and performance is much lower than that of the Asian option. Interestingly, the software implementation exhibits the opposite performance: the lookback is significantly faster tha...
In multivariate Cox analysis, age, grade, distant metastasis, number of positive lymph nodes, and tumor size were independent prognostic factors. One (p = 0.926, 1.028 [0.580–1.820]) or two (p = 0.082, 1.399 [0.958–2.043]) positive lymph nodes did not pose additional compromise ...
The general formulation of a MO problem is to “maximize” subject to , where is a candidate solution vector (or simply solution) consisting of design (or decision) variables, is the search domain, and is a vector objective function mapping solutions to a dimensional objective space. The term...
Possible potential predictors of the ideal number of children was presented in Table 1. Table 1 Classification of the independent variables Full size table Statistical methods Count regression models Given the nature of our outcome of variable, the ideal number of children, it is more suitable to ...
A、Regression method analyzes the quantitative causal relationship between the independent variable and the dependent variable. B、Regression analysis can be divided to quantitative variable regression and classified variable regression. C、Regression analysis can be classified depending on the number of vari...
On Gronwall-Bellman-Bihari-type integral inequalities in several variables with retardation Presented are some new nonlinear integral inequalities of the Gronwall-Bellman-Bihari type in n-independent variables with delay which extend recent results of C. C. Yeh and M.-H. Shin [ J. Math. Anal. ...
Therefore, its running time on 55X WGS ranged from 9640–9686 min, and was largely independent of the number of target VNTRs (Supplementary Fig. S3). This was in contrast to the 1696 min required by adVNTR-NN. The speed advantage for adVNTR-NN could largely be attributed to ...