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We analysis the relationship between SAS and hypertension using correlation and covariant analysis.

多元偏相关分析结果也显示,AHI与白天血压及夜间血压下降百分数相关。

It focuses extensively on multiple and partial regression and correlation, some uses of Chi squares, and some advanced experimental designs and data analysis, including: two- and three- factor factorial, Latin square, nested, split-plot, confounding and fractional replication experiments.

本课程进一步介绍多元回归与偏回归,复相关与偏相关,χ2的应用,和部分高级试验设计与结果分析,包括:两因素和三因素因子式试验设计与分析,拉丁方试验设计与分析,巢式试验设计与分析,裂区试验设计与分析,混杂和部分重复试验设计与分析等内容。

The spearman correlation coefficient was 0.290 (P<0.01) between HOMA index and risk factors score, and the partial correlation coefficient was 0.1776 (P<0.01) after adjustment for age, sex, body mass index and waist circumference.

在调整了年龄、性别、体重指数与腰围变量后的偏相关分析显示,HOMA指数与危险因素评分的偏相关系数为0.1776(P<0.01)。

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)。

Age-, and setting-adjusted partial correlation coefficient between INS and UA was 0.10572 (P=0.0007) in men and 0.13052 (P=0.000) in women, but after further adjustment for BMI, the significance disappeared.

INS与UA呈正相关,相关系数男女分别为0.10863(P=0.000)和0.13505(P=0.000);调整年龄、城乡后偏相关系数均具显著性,男女分别为0.10572(P=0.0007)和0.13052(P=0.0000),但不独立于BMI。

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。

The very significant partial correlation was also detected between grain length and grain width with the correlation coefficient of more than 0.90 in three populations.?

偏相关分析还表明粒长与粒宽间存在极显著的正偏相关且相关系数在三个群体的估算中均大于0.90。

Temperature, clone and their interaction influenced significantly the neonate starvation, and body, egg and neonate volumes in the offspring of B. calyciflorus. The neonate starvation times of all the thirteen clones were curvilinearly correlated with temperature. The neonate starvation times of Clone SP1 was negatively correlated with body volumes. The neonate starvation times of Clone SP2 was negatively correlated with neonate volumes, but that of Clone SU1, SU3 and SU7 were positively correlated with neonate volumes.

回归和偏相关分析表明,所有克隆的幼体耐饥饿时间均与温度间呈曲线相关;克隆SP1的幼体耐饥饿时间与母体体积间存在显著的负相关关系;克隆SP2幼体耐饥饿时间与幼体体积间有显著的负相关关系,克隆SU1、SU3和SU7的幼体耐饥饿时间与幼体体积间均有显著的正相关关系。

We observed the difference of cavi in the different groups and the correlation of cavi to gender and age, moreover, we checked up the stability of cavi through counterchecking part subjects.results: there is a significant difference for cavi in the different groups, but partial correlation analysis revealed that there is no difference in the different groups controlling the age factor.

结果:cavi指标在正常人与冠心病、高血压及其他疾病的人群之间有显著差异,但采用偏相关统计方法,在控制年龄因素的情况下,正常人组与各患病组之间无显著差异;cavi检测值与性别无相关性,但与年龄呈较强的正相关;同一受检者两次检测的cavi值之差在0.3以下,前后两组数据具有强相关。

The correlation among main yield and fiber traits of upland cotton with high fiber quality was investigated by using correlation and path analysis methods.

利用单相关、偏相关和通径分析等多种相关分析方法,研究了纺高支纱陆地棉主要产量、品质性状间的相关关系。

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