Sentence examples for identify a predictive model from inspiring English sources
As in our study, multivariate analyses conducted on the DCCT data did not identify a predictive model with high sensitivity (3).
For patients with rectal adenocarcinoma, Zolbec et al. ever used this technique to identify a predictive model with regard to patients' responses to preoperative radiotherapy from several molecular factors [ 7].
In each case, randomization prevented the algorithm from identifying a predictive model.
This method was capable of identifying a predictive model of the transcriptional dynamics in this system.
The results of this revised multivariate analysis are presented in Table 5, which identifies a predictive model very similar to that previously derived, comprising seven independent predictors of PIA, but with "joint pattern score" being replaced by the MSUS parameter, " ≥3/16 specified joints with any grey-scale synovitis".
The report using a population modelling approach excluded data from post partum women because of erratic ARS absorption, which made it difficult to identify a predictive structural model to describe the data.
This article discusses how this strength can be exploited to identify a predictive HT response model for an individual without using environmental chamber data of the individual.
Potential predictors were identified using a predictive model that showed good discriminatory power and adequate goodness of fit for the development dataset and for the external validation dataset.
The differential responses to TRAIL or SM among the HNSCC cell lines provided an ideal model to identify a predictive gene expression signature for tumour cell susceptibility to these drugs.
We used backwards stepwise selection to identify a parsimonious predictive model, excluding candidate explanatory variables when they did not improve the model fit.
Previous research has shown that, compared to patients identified by a predictive modelling software (PM), primary care physicians (PCPs) refer patients with lower predicted healthcare utilization but higher 'care sensitivity', that is, willingness and ability to participate in a program which is able to address their health needs [ 6, 7].
