| Description |
1 online resource (xxxv, 743 pages) : illustrations (some color) |
| 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 -- 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 |
| Summary |
Thanks to the omnipresent computer, current statistics can include data files of many thousands of values, and can perform any exploratory analysis in less than seconds. This development, however fascinating, generally does not lead to simple results. We should not forget that clinical studies are, mostly, for confirming prior hypotheses based on sound arguments, and the simplest tests provide the best power and are adequate for such studies. In the past few years the authors of this 5th edition, as teachers and research supervisors in academic and top-clinical facilities, have been able to cl |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Statistics.
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Statistics as Topic
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Clinical Trials as Topic
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statistics.
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BODY, MIND & SPIRIT / Healing / General.
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HEALTH & FITNESS / Alternative Therapies.
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HEALTH & FITNESS / Healing.
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MEDICAL / Healing.
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Statistics
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| Form |
Electronic book
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| Author |
Zwinderman, Aeilko H
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| ISBN |
9789400728639 |
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9400728638 |
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