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Titlebook: Developments in Statistical Evaluation of Clinical Trials; Kees van Montfort,Johan Oud,Wendimagegn Ghidey Book 2014 Springer-Verlag Berlin

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https://doi.org/10.1007/978-1-4419-6050-4r the assessment of clinical relevance. The properties of these procedures are investigated and contrasted. Furthermore, an overview of effect measures used for relevance assessment is given and their characteristics are illustrated. Application of the methods is illustrated with a clinical trial example.
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Statistical Inference for Non-inferiority of a Diagnostic Procedure Compared to an Alternative Proc, we illustrate the methods with data from studies of diagnostic procedures for the diagnosis of oesophageal carcinoma infiltrating the tracheobronchial tree and for the diagnosis of aneurysm in patients with acute subarachnoid hemorrhage.
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Statistical Methods for the Assessment of Clinical Relevance,r the assessment of clinical relevance. The properties of these procedures are investigated and contrasted. Furthermore, an overview of effect measures used for relevance assessment is given and their characteristics are illustrated. Application of the methods is illustrated with a clinical trial example.
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https://doi.org/10.1007/978-3-319-44019-4M algorithm, multiple imputation, and inverse probability weighted estimating equations. Simulation studies are reported which demonstrate how to implement these procedures and examine performance empirically.
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Statistical Validation of Surrogate Markers in Clinical Trials, so-called meta-analytic approach and its information-theoretic version, where information from several units is combined to carry out the validation exercise. The methods will be illustrated using a case study in ophthalmology.
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