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For study question 1b, regarding factors that determine information desire, again about 100 patients will suffice to detect a weak correlation of 0.28 between a predictor and information desire, with α = 0.05 and a power equal to 0.82.
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In this case, the outcome carries information about the missing values of the predictors and this information must be used.
This extrapolation was carried out using a logistic transformation of the linear predictors; coefficients were obtained from the models fitted to the PND, and predictor values were substituted using predictor variable information informed by the GBPR.
With respect to patient-related factors, educational status was not recorded, which could be an important predictor of information and involvement preferences, and must as such be accounted for in future studies.
Subsequently, we built 1900 predictors and tested those predictors (Supporting Information S3) and plotted the IFS curve in Figure 1.
The estimation procedure is based on estimation of the moments of the predictor and response trajectories by pooling information from all subjects.
Previous studies have revealed predictors of information and involvement preferences, such as age, gender, and education (Cassileth et al, 1990; Hack et al, 1994), or situational factors such as purpose and type of consultation (e.g. new patient or later follow-up) and the presence or absence of a companion (Beisecker, 1990; Beisecker and Moore, 1994).
The influence of time is an important predictor of information technology use, and understanding the effect of computer-based DA on students' academic performance across time is thus necessary.
To our knowledge this is the first study to explore women's GWG information seeking predictors and sources of GWG information in detail.
In multivariate analyses on the ER-positive tumors (Additional file 1: Table S4A), signatures remained powerful predictors and added significant information beyond known prognostic parameters, including tumor size, node and histological grade.
Due to the correlation of predictor and cluster, the predictor X1 contained information of the cluster and was able to predict (partly) the cluster specific incidence, hence improving the calibration in the large within clusters.
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