Logistic regression analysis for risk factors of intermediate syndrome after acute organophosphorus pesticides poisoning 急性有機(jī)磷農(nóng)藥中毒中間綜合征的危險(xiǎn)因素分析
Polytomous logistic regression analysis on the influent factors of the quality of life for patients with gastric carcinoma 胃癌患者生存質(zhì)量影響因素的累積比數(shù)模型分析
The microsoft logistic regression algorithm provides logistic regression support for more business flexibility Microsoft邏輯回歸算法提供邏輯回歸支持,以獲得更好的業(yè)務(wù)靈活性。
Risk factors for surgical site infection were determined with univariate analyses and multivariate logistic regression 我們進(jìn)行了案例對(duì)照研究來(lái)確定脊柱外科手術(shù)部位感染的危險(xiǎn)因素。
Logistic regression analysis showed that loneliness and having chronic diseases were the major predictors of depression 經(jīng)由邏輯回歸分析,發(fā)現(xiàn)孤寂感與有無(wú)罹患慢性病可預(yù)測(cè)長(zhǎng)期照護(hù)機(jī)構(gòu)老人之憂郁狀態(tài)。
A simple clinical scoring system was developed on the basis of regression coefficients of predictors in a multivariable logistic regression model 在多變量邏輯回歸模型中,開(kāi)發(fā)基于回歸系數(shù)預(yù)測(cè)程序的一個(gè)簡(jiǎn)單的臨床評(píng)分體系。
The result shows that the combination of logistic regression and information value model with gis is effective in assessment of geological hazards risk 使滑坡地質(zhì)災(zāi)害危險(xiǎn)性評(píng)價(jià)向模型化、定量化和現(xiàn)代化的目標(biāo)又邁進(jìn)了一大步。
All of datum were analyzed by computer and factor analysis , logistic regression and t test of spss10 . 0 were used in this study 所有調(diào)查數(shù)據(jù)均用計(jì)算機(jī)處理,采用spssi0 . 0進(jìn)行統(tǒng)計(jì)分析,采用因子分析、腸gistic回歸、 t檢驗(yàn)等方法。
Using in - hospital mortality as the primary outcome , data were analyzed by analysis of variance , chi - square , and multivariable logistic regression 以住院病人死亡率作為主要結(jié)果,將數(shù)據(jù)進(jìn)行了方差分析、卡方檢驗(yàn)及多變量對(duì)數(shù)回歸分析。
In statistics, logistic regression is a type of regression analysis used for predicting the outcome of a categorical dependent variable (a dependent variable that can take on a limited number of categories) based on one or more predictor variables. The probabilities describing the possible outcome of a single trial are modelled, as a function of explanatory variables, using a logistic function.