Descriptive statistics and bivariate analysis were used to characterize injury patterns and multivariate analysis was used to identify factors associated with severe injury.
描述统计和双变量分析用来描述伤害类型，而多重变量分析用来确定严重伤害的相关因素。
The incidence of loss to follow-up was calculated using Kaplan–Meier methods and factors associated with loss to follow-up were identified by logistic and Cox multivariate regression analysis.
追踪损失发生率利用Kaplan -Meier方法加以计算，而追踪损失的相关因素则利用logistic回归分析和Cox多元回归分析加以确定。
Methods: to study factors of influence survival time with multivariate analysis.
方法采用多因素分析的方法研究影响生存时间的因素。
Study DESIGN. : a prospective comparative study about the incidence of postoperative C5 palsy and multivariate analysis of the risk factors of C5 palsy.
研究设计：一项术后C5瘫痪发生率的前瞻对比研究和C5瘫痪危险因素的多元分析。
Conclusion. We used multivariate analysis to identify significant risk factors for visual loss after spine surgery.
结论：我们使用了多变量分析来鉴别脊柱手术后视力障碍的显著危险因素。
Multivariate analysis identified risk factors associated with postoperative hematoma volume.
多元分析法研究术后硬膜血肿体积相关的危险因素。
Results Multivariate analysis showed that the age, stage, residual tumor, retroperitoneal lymphadenectomy and the number of courses of chemotherapy were the most important prognostic factors.
结果多因素分析显示，年龄、临床分期、残留灶、腹膜后淋巴结切除术及术后化学药物治疗（化疗） ，是影响预后的重要因素。
The multivariate analysis controlled for all factors with significant associations emerging from the univariate analysis.
多元分析控制所有在单因素分析中出现的有意义的因素。
In multivariate regression analysis and research, age, body mass index, waist-hip ratio, systolic blood pressure and pulse pressure and heart rate and the history of hypertension is CFPWV factors.
而且在多元回归分析研究中，年龄、体重指数、腰臀比、收缩压、脉压、心率及高血压病病史均为CFPWV因素。
Multivariate analysis showed that lymph node metastasis and depth of bowel wall invasion were risk factors for recurrence and metastasis.
多因素回归分析显示，淋巴结转移、肠壁浸润深度是复发转移的危险因素。
The affected factors were analyzed by multivariate variance analysis.
并通过多变量方差分析其影响因素。
Relationships between structure factors and protection benefit of agroforests were studied through investigation in the field and analysis by multivariate statistical analysis.
本文从实际观测调查出发，应用多元统计分析的方法，考察混农林的各结构因子指标与防风效益之间的关系。
From the result it shows that as to the result of orthogonal experiment, when adopt the multivariate and multi-factors Grey Incidence Matrix Method, the analysis is clearer and more valuable.
结果表明，多指标多因素灰色关联矩阵法对正交试验结果的分析更清晰、更具有实用价值。
Univariate and multivariate stepwise regression analysis were performed to assess the factors related to QOL with the total scores as dependent variables, and screen the main factors.
将总评分作为因变量，对影响生活质量的因素进行单因素分析和多因素逐步回归分析，筛选主要影响因素。
The multivariate analysis indicated that blood vessel invasion, preoperative AST ascending, liver capsule invasion, resection margin and tumor size were the major risk factors affecting the prognosis.
多因素分析显示脉管瘤栓、术前ast升高、肿瘤切缘、肝被膜受侵及肿瘤最大直径依次为影响预后的主要因素。
The valuable influence factors were filtrated and formulated with multivariate regression analysis model.
用多元线性回归模型筛选出对预后有影响的因素，并比较各因素的影响大小。
The results of multivariate analysis indicated that the main prognostic factors were lymph nodes metastasis and therapy treatment.
影响患者术后无病生存的主要因素：淋巴结是否转移和治疗方式不同。
Multivariate logistic regression analysis showed that increased BMI during adolescence essential hypertension risk factors.
舒张期原发性高血压的危险因素有BMI、睡眠呼吸暂停、高脂血症。
Multivariate logistic regression analysis showed that increased BMI during adolescence essential hypertension risk factors.
舒张期原发性高血压的危险因素有BMI、睡眠呼吸暂停、高脂血症。
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