Potential prognosticators were submitted to univariate and multivariate analyses 通过单变量和多变量分析提供了潜在的预后因子。
Multivariate analysis for risk factors of esophageal variceal hemorrhage in patients with liver cirrhosis 肝硬化食管静脉曲张破裂出血危险因素的多变量分析
Variables obtained at the time of listing were analyzed for prognostic value using multivariable analysis 等待期间获取的变量资料以多变量分析的方法判断其预测价值。
Possess 1 to 2 years experience in analyzing large amounts of data with multiple variables and strong analytical skills 具一至两年对大量数据的多变量分析经验,需高度分析能力。
In a multivariate analysis , however , only the presence of n2 disease remained a significant predictor of poor outcome 然而,通过多变量分析,仅仅剩下n2期疾病仍然可以对较差的预后结果有着重要的预测意义。
Standard practice for qualifying spectrometers and spectrophotometers for use in multivariate analyses , calibrated using surrogate mixtures 使用代用品混合物校正的多变量分析中使用的分光计和分光光度计鉴定的标准规程
The results of multiariable analysis indicated that current smokers hae a 2 . 60 - fold increased risk of haing seere hypoglycemia while controlling for confounders in two models , dr 在两模型的混杂设计的多变量分析的结果表明,当前吸烟者有2 . 6倍的升高严重的低血糖的风险。
By multivariable analysis , only meld score , american society of anesthesiologists class , and age predicted mortality at 30 and 90 days , 1 year , and long - term , independently of type or year of surgery 多变量分析提示,只有meld评分、美国麻醉医师学会分级和患者年龄是预测患者术后30天和90天、 1年和长期随访死亡率的独立危险因素,与手术类型和手术时间无关。
Due to the fact that the models for resource characteristics vary a lot , this paper will first utilize quantified model and cluster analysis method from multi - variate analysis methods to conduct classification , then quantified model will be used to examine the extent of impact that can be exerted by conditions of recreational site to recreational demand 由于资源特性之种类繁多,因此本文先利用多变量分析方法中之数量化模型及群落分析法进行分类,以?解各游憩据点类型之特性,再透过数量化模型探讨游憩据点条件对游憩需求之影响程度。
It is desirable for all related insiders and outsiders to discern all potential risk in advance . this paper , with the adoption of special treatment resulted from abnormal financial position as the indicator of financial distress , the univariate variable analysis and multiple variable analysis as the research approach and some financial ratios as variable , tries to find an optimal financial distress prediction model of chinese manufacturing listed companies based on public accounting data . our finding demonstrate that five general financial ratios and three ratios concerning the cash flow have better predicting ability , the erroneous classification ratio are low . these five general financial ratios are earning per share , return on net assets , return on gross assets , growth rate of net profits , growth rate of net assets ; the three ratios concerning the cash flow are net cash flows from operating activities per share , net re - earnable cash flows / current liability , net cash flows from operating activities / net profit 研究结果表明,在单变量分析中,每股收益、净资产收益率、总资产报酬率、净利润增长率、净资产增长率这5个财务比率的错分率较低、预测能力较强;经营活动净现金流量与净利润之比、每股经营现金流量、可重复赚取的现金净流量与流动负债之比这三个现金流量财务比率对于预测上市公司财务困境具有有效性;多变量分析中,应用费雪判别分析和典则判别分析得到两个判别模型,在典则判别分析中,应用两种方法确定所建模型的最佳分界点,检测证明应用所得两个判别模型进行财务困境预测的准确率很高。