Correspondence: The use of cost information when defining critical values for prediction of rare events using logistic regression and similar methodsPaul T Seed
Full prediction models are provided in the appendices (Additional file 2). The predictive value added by individual predictors to each model (proportion of overall χ2) is depicted in Fig. 2. Table 2 Results logistic multivariable regression analysis for the hospital outpatient visit—and hospital...
In contrast, outsourcing WMS development to a specialized company such as Kody Technolab can frequently result in substantial cost savings. Outsourcing provides access to a pool of highly qualified WMS development professionals. These companies have specialized teams with extensive knowledge and experience ...
Early prediction of antipsychotic response in schizophrenia. Am J Psychiatry. 2003;160(11):2063–2065. 4. Kinon BJ, Chen L, Ascher-Svanum H, et al. Predicting response to atypical antipsychotics based on early response in the treatment of schizophrenia. Schizophr Res. 2008;102(1–3):...
Grey prediction of demand based on stock control; 基于库存控制的需求量灰色预测 2. Study of YLC Hydro Power Company Material Management Stock Control; 澜沧江水电公司物资管理库存控制研究 3. Starting from the relation between logistic technologies and clothing industry,this paper elaborates the use ...
4.1 Bankruptcy prediction models To test the relation between the likelihood of bankruptcy and the criminal records of the CEO and employees, we estimate Eq. (1) with a hazard estimation (Shumway 2001), which equals a logistic regression with adjusted standard errors. Specifically, chi-squared sta...
In this paper, we first give a brief review of SRGM with generalized logistic TEF. The proposed model has a fairly accurate prediction capability. On the other hand, if we want to detect more additional faults in practice, it is advisable to introduce new test technologies: tools and test ...
In this paper, we use machine learning techniques to predict whether a passenger is travelling for business or leisure purposes. Although the problem is formulated as a prediction task, the primary objective is to model the behavioural differences between the two types of customers. In this ...
a simple prediction from our results is that to compensate for reduced levels of α4β2 nAChRs, dendrobatids with the β2 S108C substitution must constantly generate extremely high levels of mRNA and/or protein for β2 subunits compared with dendrobatids without S108C or non-dendrobatids, ...
We assessed factors associated with latent infection by use of logistic regression and calculated the yields and cost-effectiveness of screening at different levels of tuberculosis incidence in immigrants' countries of origin with a decision analysis model. Findings Results for IGRA-based screening were ...