Statistics applied to clinical trials
In clinical medicine appropriate statistics has become indispensable to evaluate treatment effects. Randomized controlled trials are currently the only trials that truly provide evidence-based medicine. Evidence based medicine has become crucial to optimal treatment of patients. We can define random...
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Livre numérique |
| Lenguaje: | Anglais |
| Publicado: |
Dordrecht :
Springer Netherlands
[20..].
Cham : Springer Nature |
| Edición: | 4th ed. 2009. |
| Acceso en línea: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Description d'après consultation du 09 mars 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Statistics applied to clinical trials, by Ton J. Cleophas, Aeilko H. Zwinderman, and Toine F. Cleophas, 4rd ed., Dordrecht, Springer, 2006, 1 vol. (XIX-559 p.), 978-1-4020-9522-1 |
Tabla de Contenidos:
- Hypotheses, Data, Stratification The Analysis Of Efficacy Data The Analysis of Safety Data Log Likelihood Ratio Tests For Safety Data Analysis Equivalence Testing Statistical Power And Sample Size Interim Analyses Controlling The Risk of False Positive Clinical Trials Multiple Statistical Inferences The Interpretation of The P-Values Research Data Closer To Expectation Than Compatible With Random Sampling Statistical Tables For Testing Data Closer To Expectation Than Compatible With Random Sampling Principles Of Linear Regression Subgroup Analysis Using Multiple Linear Regression: Confounding, Interaction, Synergism Curvilinear Regression Logistic and Cox Regression, Markow Models, Laplace Transformations Regression Modeling for Improved Precision Post-Hoc Analyses in Clinical Trials, a Case for Logistic Regression Analysis Confounding Interaction Meta-Analysis, Basic Approach Meta-Analysis, Review and Update of Methodologies Crossover Studies with Continuous Variables Crossover Studies with Binary Responses Cross-Over Trials Should not be Used to Test Treatments with Different Chemical Class Quality-of-Life Assessments in Clinical Trials Statistical Analysis of Genetic Data Relationship Among Statistical Distributions Testing Clinical Trials for Randomness Clinical Trials do not Use Random Samples Anymore Clinical Data Where Variability is More Important than Averages Testing Reproducibility Validating Qualitative Diagnostic Tests Uncertainty of Qualitative Diagnostic Tests Meta-Analysis of Diagnostic Accuracy Validating Quantitative Diagnostic Tests Summary of Validation Procedures for Diagnostic Tests Validating Surrogate Endpoints of Clinical Trials Methods for Repeated Measures Analysis Advanced Analysis of Variance, Random Effects and Mixed Effects Models Monte Carlo Methods Physicians Daily Life and the Scientific Method Clinical Trials: Superiority-Testing Trend-Testing Odds Ratios and Multiple Regression Models, Why and How to Use Them Statistics is no Bloodless Algebra Bias Due to Conflicts of Interests, Some Guidelines