Statistics applied to clinical trials
By: by Ton J. Cleophas ... [et al.].
Contributors: Cleophas, Ton J. M.
Edition: 4th ed.
Publisher: Springer
Published: 2009
Place of publication: [Dordrecht]
Language: eng
Number of pages: 559
ISBN-13: 9781402095221
Subjects: Drugs -- Testing -- Statistical methods; Clinical trials -- Statistical methods; Clinical Trials as Topic -- methods; Data Interpretation, Statistical
Notes: Includes bibliographical references and index.
Table of contents: title: Hypotheses, data, stratification; title: The analysis of efficacy data; title: The analysis of safety data; title: Log likelihood ratio tests for safety data analysis; title: Equivalence testing; title: Statistical power and sample size; title: Interim analyses; title: Controlling the risk of false positive clinical trials; title: Multiple statistical inferences; title: The interpretation of the p-values; title: Research data closer to expectation than compatible with random sampling; title: Statistical tables for testing data closer to expectation than compatible with random sampling; title: Principles of linear regression; title: Subgroup analysis using multiple linear regression: confounding, interaction, synergism; title: Curvilinear regression; title: Logistic and Cox regression, Markow models, Laplace transformations; title: Regression modeling for improved precision; title: Regression modeling for improved precision; title: Post-hoc analyses in clinical trials, a case for logistic regression analysis; title: Confounding; title: Interaction; title: Meta-analysis, basic approach; title: Meta-analysis, review and update of methodologies; title: Crossover studies with continuous variables; title: Crossover studies with binary responses; title: Cross-over trials should not be used to test treatments with different chemical class; title: Quality-of-life assessments in clinical trials; title: Statistical analysis of genetic data; title: Relationship among statistical distributions; title: Testing clinical trials for randomness; title: Clinical trials do not use random samples anymore; title: Clinical data where variability is more important than averages; title: Testing reproducibility; title: Validating qualitative diagnostic tests; title: Uncertainty of qualitative diagnostic tests; title: Meta-analysis of diagnostic accuracy studies; title: Validating quantitative diagnostic tests; title: Summary of validation procedures for diagnostic tests; title: Validating surrogate endpoints of clinical trials; title: Methods for repeated measures analysis; title: Advanced analysis of variance, random effects and mixed effects models; title: Monte Carlo methods; title: Physicians' daily life and the scientific method; title: Clinical trials: superiority-testing; title: Trend-testing; title: Odds ratios and multiple regression models, why and how to use them; title: Statistics is no "bloodless" algebra; title: Bias due to conflicts of interests, some guidelines.