Sentence examples for more precise predictive from inspiring English sources

Quantitative polymerase chain reaction assays applied to vaginal fluid samples obtained in our subjects may offer more precise predictive value for incident BV, though they are typically less specific than performing sequence analysis on the amplicons as was performed in this study.

On the other hand, by knowing these negatively acting factors as well as other important predictors, we may arrive at more accurate models with more precise predictive capability.

However, for application in a clinical setting, more precise predictive models should be established through various analyses involving more factors and a larger population.

This improves the likelihood that genuine metabolic biomarkers for breast cancer tissues can be detected and validated, and will eventually lead to diagnostic toolkits that will facilitate a much more precise predictive and prognostic assessment.

As our objective was to study the prognostic factors of breast cancer and to develop more precise predictive mortality risk models, both patients with stage IV disease and patients who were followed up for less than one year were excluded from our analyses.

Compared to biological predictive assays as doubling time (Tpot) and surviving fraction (SF2), tumour volume allows a much more precise prediction of response to RT[ 7].

Consider "precision agriculture" by using smarter analysis of big data to make more precise and predictive farming decisions.

EE from ventilator-derived VCO2 is accurate and more precise than predictive equations.

If Gaussian selection is used to evolve a population, then the alternative breeding equation (21) we derived is more precise and predictive and rests on more robust mathematical grounds while retaining the same simplicity of the standard breeder's equation.

To be more precise, this predictive quantity given by (5) CP O ij = Π (y ij | y − ij ) constitutes the position of the observed value y ij within the leave-one-out cross-validatory posterior predictive distribution evaluated at the observed value y ij.

If uncertainty is homoskedastic, a classical or uniform distribution model may provide a somewhat more precise estimate of predictive uncertainty.