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Statistical Analysis of Clinical Data on a Pocket Calculator
The first part of this title contained all statistical tests relevant to starting clinical investigations, and included tests for continuous and binary data, power, sample size, multiple testing, variability, confounding, interaction, and reliability. The current part 2 of this title reviews methods...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2012
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-94-007-4704-3 http://cds.cern.ch/record/1488417 |
| Sumario: | The first part of this title contained all statistical tests relevant to starting clinical investigations, and included tests for continuous and binary data, power, sample size, multiple testing, variability, confounding, interaction, and reliability. The current part 2 of this title reviews methods for handling missing data, manipulated data, multiple confounders, predictions beyond observation, uncertainty of diagnostic tests, and the problems of outliers. Also robust tests, non-linear modeling , goodness of fit testing, Bhatacharya models, item response modeling, superiority testing, variab |
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