Statistics applied to clinical trials
Cleophas, Ton J. M.
text
bibliography
ne
Dordrecht]
Springer
c2009
2009
4th ed.
monographic
eng
xxi, 559 p. : ill. ; 25 cm.
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.
by Ton J. Cleophas ... [et al.].
Includes bibliographical references and index.
Drugs
Testing
Statistical methods
Clinical trials
Statistical methods
Clinical Trials as Topic
methods
Data Interpretation, Statistical
RM301.27 .C5635 2009
615.507240727
QV 771 C628s 2009
9781402095221 (hbk. : alk. paper)
1402095228 (hbk. : alk. paper)
2008939866
far.stx
UKM
081020
20101117101458.0
138467