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Which multivariable prognostic model(s) for recovery in people with neck pain can be used in primary care?
A prediction rule will be derived from the regression coefficients of the independent predictors in the multivariable prognostic model.
The Cox PH regression model has been used to develop a multivariable prognostic model for breast cancer [ 20].
First we describe two breast cancer datasets used to exemplify a multivariable prognostic model developed on one clinical dataset and evaluated on another.
In this paper, we take multivariable prognostic model to mean a model which is a linear combination of weighted prognostic factors.
Most researchers (38/43) developed a multivariable prognostic model (almost always a Cox model), but 9/38 did not report the coefficients to enable a PI to be calculated.
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We also apply TG to quantify the predictive ability of multivariable prognostic models developed in several disease areas.
Multivariable prognostic models are important for grouping patients into risk sets for predicting survival and treating appropriately.
We followed a strategy aimed at maximising model performance and avoiding poorly fitted and overfitted regression models in the development (Harrell et al, 1996) and reporting (McShane et al, 2005) of multivariable prognostic models.
Additional file 2 The multivariable prognostic models applied to the data sets in Applications, as well as the flexible parametric model applied in Non-proportional hazard and time-dependent covariates, are presented.
All data sets are in the public domain - see Additional file 2. > Multivariable prognostic models based on the Cox PH model have already been developed for the above data sets.
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