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Statistics applied to clinical studies / Ton J. Cleophas, Aeilko H. Zwinderman ; with the help from Toine F. Cleophas, Eugene P. Cleophas, and Henny I. Cleophas-Allers.

By: Cleophas, Ton J.
Contributor(s): Zwinderman, Aeilko H | Cleophas, Toine F | Cleophas, Eugene P | Cleophas-Allers, Henny I.
Material type: materialTypeLabelBookCall no.: QV771 .C544 2012Publication: New York : Springer, 2012Edition: 5th ed.Description: xxxv, 743 p. : ill.Notes: Previously published as: Statistics applied to clinical trials.ISBN: 9789400728622.Subject(s): Drugs -- Testing -- Statistical methods | Clinical trials -- Statistical methods
Contents:
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 -- Data Dispersion Issues -- Linear Regression, Basic Approach -- Linear Regression for Assessing Precision, Confounding, Interaction, Basic Approach -- Curvilinear Regression -- Logistic and Cox Regression, Markov Models, Laplace Transformations -- Regression Modeling for Improved Precision -- Post-hoc Analyses in Clinical Trials, A Case for Logistic Regression Analysis -- Multistage Regression -- Categorical Data -- Missing Data -- Poisson Regression -- More on Non Linear Relationships, Splines -- Multivariate Analysis -- Bhattacharya Modeling -- Trend-Testing -- Confounding -- Propensity Score Matching -- Interaction -- Time-Dependent Factor Analysis -- Meta-analysis, Basic Approach -- Meta-analysis, Review and Update of Methodologies -- Meta-regression -- 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 -- Item Response Modeling -- 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 Qualitative Diagnostic Tests -- c-Statistic Versus Logistic Regression for Assessing the Performance of Qualitative Diagnostic Accuracy -- Validating Quantitative Diagnostic Tests -- Summary of Validation Procedures for Diagnostic Tests -- Validating Surrogate Endpoints of Clinical Trials -- Binary Partitioning -- Methods for Repeated Measures Analysis -- Mixed Linear Models for Repeated Measures -- Advanced Analysis of Variance, Random Effects and Mixed Effects Models -- Monte Carlo Methods for Data Analysis -- Artificial Intelligence -- Fuzzy Logic -- ǂt Physicians' Daily Life and the Scientific Method -- Incident Analysis and the Scientific Method -- Clinical Trials: Superiority-Testing -- Noninferiority Testing -- Time Series -- 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.
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Previously published as: Statistics applied to clinical trials.

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 -- Data Dispersion Issues -- Linear Regression, Basic Approach -- Linear Regression for Assessing Precision, Confounding, Interaction, Basic Approach -- Curvilinear Regression -- Logistic and Cox Regression, Markov Models, Laplace Transformations -- Regression Modeling for Improved Precision -- Post-hoc Analyses in Clinical Trials, A Case for Logistic Regression Analysis -- Multistage Regression -- Categorical Data -- Missing Data -- Poisson Regression -- More on Non Linear Relationships, Splines -- Multivariate Analysis -- Bhattacharya Modeling -- Trend-Testing -- Confounding -- Propensity Score Matching -- Interaction -- Time-Dependent Factor Analysis -- Meta-analysis, Basic Approach -- Meta-analysis, Review and Update of Methodologies -- Meta-regression -- 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 -- Item Response Modeling -- 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 Qualitative Diagnostic Tests -- c-Statistic Versus Logistic Regression for Assessing the Performance of Qualitative Diagnostic Accuracy -- Validating Quantitative Diagnostic Tests -- Summary of Validation Procedures for Diagnostic Tests -- Validating Surrogate Endpoints of Clinical Trials -- Binary Partitioning -- Methods for Repeated Measures Analysis -- Mixed Linear Models for Repeated Measures -- Advanced Analysis of Variance, Random Effects and Mixed Effects Models -- Monte Carlo Methods for Data Analysis -- Artificial Intelligence -- Fuzzy Logic -- ǂt Physicians' Daily Life and the Scientific Method -- Incident Analysis and the Scientific Method -- Clinical Trials: Superiority-Testing -- Noninferiority Testing -- Time Series -- 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.

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