Titlebook: Clinical Prediction Models; A Practical Approach Ewout W. Steyerberg Book 20091st edition Springer-Verlag New York 2009 An?sthesie-Informat

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Dealing with missing values,el for a single outcome (.). Traditional complete case analysis suffers from inefficiency, selection bias of subjects, and other limitations. We briefly review the theoretical background on mechanisms of missingness of predictor values and how these may affect prognostic modelling. We further concen

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Case study on dealing with missing values,ral studies were available to quantify predictor effects and to develop and validate prognostic models. Missing values were a key issue, since few studies recorded all predictors of interest. The use of single and multiple imputation methods is illustrated with a detailed description of the analyses

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Coding of Categorical and Continuous Predictors,e for entering in regression models and must first be manipulated. This is known as “coding.” As in any data analysis, we will usually start with obtaining an impression of the data under study, such as occurrence of missing values and the distribution of predictors. Descriptive analyses, such as fr