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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Dordrecht :
Springer Netherlands,
2009.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.