查询词典 logistic

After comparing the clinical symptoms and physical signs between the analogous apoplexy group and apoplexy one, using American SAS statistical analysis soft ware to take logistic regression analysis on 2206 cases, combining with clinical practice, bibliography investigation and specialists experience, the main symptoms of analogous apoplexy were defined as: vertigo, sensory disturbance, severe headache, visual abnormality, involuntary movement, mental aberration, epileptic attack, agnosia, alexia and agraphia, etc.

运用类中风组与中风组临床症状体征对照的研究方法，采用美国SAS统计分析软件，对2206例调研资料进行logistic回归分析等多因素分析。参考回归结果，并结合临床实际、文献调查、专家经验，从而确定了类中风的主症为：眩晕，身体感觉障碍，剧烈头痛，视物异常，不随意运动，精神障碍，癫痫样发作，失认失读失写等。

After comparing the clinical symptoms and physical signs between the analogous apoplexy group and apoplexy one, using American SAS statistical analysis soft ware to take logistic regression analysis on 2206 cases, combining with clinical practice, bibliography investigation and specialists experience, the main symptoms of analogous apoplexy were defined as vertigo, sensory disturbance, severe headache, visual abnormality, involuntary movement, mental aberration, epileptic attack, agnosia, alexia and agraphia, etc.

将临床上不以传统中风的突然昏仆、半身不遂、口舌歪斜、语言謇涩或不语、偏身麻木为主要临床表现的西医脑卒中统归为类中风进行研究运用类中风组与中风组临床症状体征对照的研究方法，采用美国SAS统计分析软件，对2206例调研资料进行logistic回归分析等多因素分析参考回归结果，并结合临床实际、文献调查、专家经验，从而确定了类中风的主症为眩晕，身体感觉障碍，剧烈头痛，视物异常，不随意运动，精神障碍，癫痫样发作，失认失读失写等为类中风的进一步研究奠定了基础

Immune Taboo Search algorithm was used to optimize the parameters of Logistic curve model and the optimized multi-index Logistic curve model for regional water resources sustainable utilization was simple, practical and easy to account.

优化好的Logistic模型适用于区域水资源可持续利用的多项指标的评价，形式简单，方便实用。

The total population of a district in Beijing is predicted in this paper using Logistic Model.The ratio of population is also calculated using the mortality table.Furthermore,the labour resource and the number of old-age population are predicted combining Logistic Model with the mortality table,and relevant policies are suggested based on the above analysis.

本文用Logistic模型对北京某区的总人口进行了预测，用生命表滚动预测模型推算出了该区的人口结构比重，并利用这两个模型相结合的混合预测方法，对该区的劳动力资源和老年人口数进行了预测和分析，并在此基础上提出了相关的建议。

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)。

Using questionnaire and serological tests, the investigated factors were analyzed by unvaried and multivariate un-conditioned Logistic regression model.

应用现场问卷调查和血清学检查方法，使用单因素非条件Logistic回归结合多因素非条件Logistic回归模型分析。

Results Unvaried non-conditional logistic regression analysis showed that sex,primary disease,site of puncture,nursing care,and ways of use of the catheter showed no correlation with CRS.

先以单因素非条件logistic回归分析筛选出有统计学意义的危险因素，再应用多因素非条件logistic回归分析患者CRS形成的独立危险因素。

Through Logistic Regeression Analyses, relationship of subitem satisfaction and total satisfaction are formulated.

在此基础上，运用二项Logistic回归方法，构建游客对解说员解说服务分项满意度与总体满意度之间的Logistic回归方程。

At last, the research test the logistic regression model with sample dada. The results are as the following:(1)Based on the time series dada, the financial early-warning model contains more crucial information reflecting the dada characters, so it can avoid the obvious logic problem in the other analysis such as single section dada and multi-section dada analysis. The test result indicate that the new model have a more accuracy than others.(2) the research adopt the global principal component analysis to settle the problem of multiple collinearity, so the model would be more normative and precise.(3)the early-warning model uses the backward method to regress, so it gets a terser model of only five variables, but it still has a precise forecasting ability.

通过本文研究说明：（1）建立以时序数据为基础的财务危机预警模型，提高了样本中重要财务趋势特征的信息含量，从而克服了国内外单截面及多重截面分析中普遍存在的明显逻辑问题，检验结果表明，利用时序数据建立的logistic财务危机判别模型较截面数据基础模型的判别准确率要高；（2）采用全局主成份分析方法解决了模型中因子间的多重共线性问题，这一处理使logistic回归方法应用的规范度和严谨度得到明显改善；（3）我们采用向后逐步回归的办法进行回归，使模型大大得到了简化，其中只包含五个自变量，但是它的整体预测准确性却仍然比较高，使模型更具有实用性。

Single-factor Logistic regression analysis indicated that gender, age, degree of labour intensity, on night or shift, status of marriage were risk factors of GERD.

单因素Logistic回归分析发现：性别、年龄、体力劳动强度、是否上夜班、婚姻状况是胃食管反流病的危险因素；多因素Logistic回归分析发现：年龄、是否上夜班、体力劳动强度、婚姻状况、进食过饱、常食油腻食物、常饮浓茶、常进甜食、便秘等可能是危险因素。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。