Sentence examples for models or risk from inspiring English sources

First, it replaces traditional boolean alerts with probabilistic models or risk factors.

An integral part of the latter approach is the use of CVD prognostic models or risk scores, such as the Framingham risk score, 4 QRISK, 5 ASSIGN, 6 SCORE, 7 PROCAM 8 and Reynolds 9 which share a core set of established risk factors (age, sex, smoking, blood pressure and total cholesterol) among other risk factors (eg, Townsend score, family history).

Based on the prediction models or risk factors for unsuccessful recruitment, we will develop a set of recommendations and a checklist that can be used by individual trialists before the start of the study to assess if recruitment of the proposed sample size with their strategy will be feasible.

Information that is often missing includes details in the description of how the study was designed and conducted (e.g., how genetic variants were selected, how risk models or genetic risk scores were constructed and how risk categories were chosen), or how the results should be interpreted.

Information that is often missing includes details in the description of how the study was designed and conducted (eg, how genetic variants were selected and coded, how risk models or genetic risk scores were constructed, and how risk categories were chosen), or how the results should be interpreted.

The UK's data watchdog has warned that Facebook must overhaul its privacy-hostile business model or risk burning user trust for good.

The studios will need to bend to the new model or risk the same squeeze Steve Jobs performed on the carriers with the iPhone.

One method proposed to reduce the dimensionality of subgroup analysis is to use regression models or simple risk scores that combine variables to describe dimensions of risk across which treatment effects are likely to vary.

This holistic approach towards biosecurity and risk of disease presence does not deny the importance of conducting further studies where purely spatial prediction models or specific risk profiles for particular diseases are developed.

Multivariable prognostic research enables the development of tools which give predictions based on multiple important factors; these are variously called prognostic models, prediction models, prediction rules or risk scores [ 1].

It is common for studies of survival to quote hazard ratios comparing the results of clusters identified by classification models or relative-risk models such as Cox proportional hazards regression.