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stepwise enhancement相关的网络例句

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The spearman correlation coefficient was 0.308 (P<0.01) between serum proinsulin and risk factors score, and the partial correlation coefficient was 0.2095 (P<0.01) after adjustment for age, sex, body mass index and waist circumference. The results of non-conditional univariate Logistic regression and multivariate stepwise Logistic regression indicated that serum proinsulin level associated with cardiovascular risk factors aggregation, and the odds ratio (95% CI) was 1.656 (1.483~1.851), 1.652 (1.475~1.850)(p<0.01) respectively.

Spearman相关分析及调整年龄、性别、体重指数与腰围后的偏相关分析结果显示,胰岛素原水平与危险因素评分的相关系数分别为0.308与0.2095(P值均为0.000);单因素及多因素Logistic回归分析显示,胰岛素原的水平与心血管危险因素聚集显著相关,其OR值(95%可信区间)分别为1.656(1.483~1.851)、1.652(1.475~1.850)(p<0.01)。

The statistical difference of proinsulin rather than HOMA index was found among the patients of various Gensini's score group (Gensini's score was examined as a categorical variable classified by tertile values) and significantly stenosed vessels group by means of the results of analysis of covariate variance after adjusting for age, sex and body mass index (p<0.05), and the partial correlation coefficient between proinsulin level and Gensini's score, the number of significantly stenosed vessels after adjusting for age, sex and body mass index was 0.3156 (P<0.01) and 0.2752 (P<0.05) respectively. Multivariate linear regression analysis indicated that the level of proinsulin was positively correlated with the Gensini's score (P<0.01). The results of multivariate stepwise Logistic indicated that the proinsulin was the independent risk factor for the coronary heart disease, and the odds ratio (95% confidence interval) was 2.268 (1.253~4.105)(P=0.007), however, the HOMA was refused by the final model.

年龄、性别与体重指数为控制变量的协方差分析结果显示,胰岛素原的水平在不同的Gensini评分组、冠状动脉病变血管数分组中分布有统计学差异(P<0.05),偏相关分析示胰岛素原的含量与Gensini评分与病变血管数显著正相关,其偏相关系数分别为0.3156(P<0.01)与0.2752(P<0.05),而HOMA指数与两种评分的相关未有统计学意义;多因素线性逐步回归分析结果示胰岛素原水平与Gensini评分独立正相关(P<0.01);多因素Logistic回归分析显示,胰岛素原的水平为冠心病的独立的危险因素,其OR值及其95%可信区间为2.268(1.253~4.105)(P<0.01),HOMA指数未进入模型。

However,stepwise enclosure,landlords' appropriating the common into private pasture,deprived the poor's living materials and further deteriorated the pauperization. Moreover,those landless people had on alternatives but to wander otherwise to begaround and hence forced profound change in social policies.

后来由於领主圈占公有地作为私人的牧场﹐使穷人失去赖以维生的生活资料﹐以至於﹐造成贫困化之不可遏止﹐尤其无地者就到处游荡寻找工作或成为乞丐﹐同时也发生社会政策的变动。

Factor analysis, Pearson's correlation and stepwise regression were applied to analyze the data.

以因素分析、皮尔森相关与逐步回归进行资料分析。

Ultimately,we used quadratic polynomial stepwise regression analysis,according to the correlation coefficient variable size,to look for curcumin with the best ratio of piperine.

利用均匀设计的方法进行分组,检测小鼠眼球血清三酰甘油和胆固醇的含量,寻找姜黄素与胡椒碱的最佳配比。

Solute-related parameters were computed by means of AM1 method, the quantitative structure-chromatographic retention relationship of the hydrocarbons on different polar stationary phases was set with stepwise regression method.

运用量子化学中的AM1方法计算烃类化合物的分子结构描述参数,借助逐步回归法建立了烃类化合物在不同极性色谱柱上的QSRR模型。

As multiple stepwise regression showed,Asthma/COPD, OA of the knee, other joint diseases, polyarthritis, depression and stroke did adversely affect the HRQoL of patients consulting in community health service centers in Zhejiang Province other than hypertension and diabetes.

多元逐步回归显示,影响社区卫生服务就诊患者HRQoL的疾病不是高血压和糖尿病,而是哮喘/COPD、膝骨关节炎、其它关节病、多关节炎、抑郁和中风。

It was found that the polymorphous of the endoglucanases of the system was stepwise formed during the fermentation.

研究发现在该纤维素酶系中,内切酶的多型性是在菌种发酵过程中逐步形成的。

The statistical procedure of path analysis combined with stepwise regression was used to trace the principal characters which affect the grain yield per plant and protein content in barley grain,and the effectof various characters on gum content and starch content was analysed,then the correlation between the quality and agronomic characters was investi- gated.

应用通径分析和逐步回归相结合的统计方法,逐级追溯影响大麦单株产量和蛋白质含量、麦胶含量、淀粉含量的性状,进而研究了品质性状和农艺性状的关系。

Using the mean price of a month as interpreted variable, the principal components and external factors as independent variables, the article build a SME IPO Pricing Multifactor Model by Stepwise Regression Method.

2采用逐步多元回归分析方法,以公司上市后一个月的月均价为因变量,主成分因子和公司外部因素指标为自变量,进行回归分析,建立中小企业IPO定价多因素模型。

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