[Dordrecht] : Springer, c2009.
xxi, 559 p. : ill. ; 25 cm.
Includes bibliographical references and index.
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 -- 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 studies -- 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.
9781402095221 (hbk. : alk. paper)
1402095228 (hbk. : alk. paper)
090205s2009 ne a b 001 0 eng cam a
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