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Statistics Applied to Clinical Trials

Toine F. Cleophas (Gebundene Ausgabe, Englisch)

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Beschreibung
In clinical medicine appropriate statistics has become indispensable to evaluate treatment effects. Randomized controlled trials are currently the only trials that truly provide evidence-based medicine. Evidence based medicine has become crucial to optimal treatment of patients. We can define randomized controlled trials by using Christopher J. Bulpitt’s definition “a carefully and ethically designed experiment which includes the provision of adequate and appropriate controls by a process of randomization, so that precisely framed questions can be answered”. The answers given by randomized controlled trials constitute at present the way how patients should be clinically managed. In the setup of such randomized trial one of the most important issues is the statistical basis. The randomized trial will never work when the statistical grounds and analyses have not been clearly defined beforehand. All endpoints should be clearly defined in order to perform appropriate power calculations. Based on these power calculations the exact number of available patients can be calculated in order to have a sufficient quantity of individuals to have the predefined questions answered. Therefore, every clinical physician should be capable to understand the statistical basis of well performed clinical trials. It is therefore a great pleasure that Drs. T. J. Cleophas, A. H. Zwinderman, and T. F. Cleophas have published a book on statistical analysis of clinical trials. The book entitled “Statistics Applied to Clinical Trials” is clearly written and makes complex issues in statistical analysis transparant.
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Technische Daten


Erscheinungsdatum
15.01.2009
Sprache
Englisch
EAN
9781402095221
Herausgeber
Springer Netherland
Sonderedition
Nein
Autor
Toine F. Cleophas
Seitenanzahl
562
Auflage
4
Einbandart
Gebundene Ausgabe
Schlagwörter
Measure, statistics, Analysis of variance, linear regression, data analysis, Regression analysis
Thema-Inhalt
PBT - Wahrscheinlichkeitsrechnung und Statistik PBWL - Stochastik MBGR - Medizinische Forschung PBT - Wahrscheinlichkeitsrechnung und Statistik MBNS - Epidemiologie und medizinische Statistik PBT - Wahrscheinlichkeitsrechnung und Statistik
Inhaltsverzeichnis
ForewordChapter 1: Hypotheses, Data, StratificationChapter 2: The Analysis of Efficacy DataChapter 3: The Analysis of Safety DataChapter 4: Log Likelihood Ratio Tests for Safety Data AnalysisChapter 5: Equivalence TestingChapter 6: Statistical Power and Sample SizeChapter 7: Interim AnalysesChapter 8: Clinical Trials Are Often False PositiveChapter 9: Multiple Statistical InferencesChapter 10: The Interpretation of the P-ValuesChapter 11: Research Data Closer to Expectation than Compatible with Random SamplingChapter 12: Statistical Tables for Testing Data Closer to Expectation than Compatible with Random SamplingChapter 13: Principles of Linear RegressionChapter 14: Subgroup Analysis Using Multiple Linear Regression: Confounding, Interaction, SynergismChapter 15: Curvilinear RegressionChapter 16: Logistic and Cox Regression, Markow Models, Regression with Laplace TransformationsChapter 17: Regression Modeling For Improved PrecisionChapter 18: Post-Hoc Analysis in Clinical Trials, A Case For Logistic Regression AnalysisChapter 19: ConfoundingChapter 20: InteractionChapter 21: Meta-Analysis, Basic ApproachChapter 22: Meta-Analysis, Review and Update of MethodologiesChapter 23: Crossover Studies with Continuous VariablesChapter 24: Crossover Studies with Binary ResponsesChapter 25: Cross-Over Trials Should Not Be Used To Test Treatments with Different Chemical ClassChapter 26: Quality-Of-Life Assessments in Clinical TrialsChapter 27: Statistics for the Analysis of Genetic DataChapter 28: Relationship among Statistical DistributionsChapter 29: Testing Clinical Trials for RandomnessChapter 30: Clinical Trials Do Not Use Random Samples AnymoreChapter 31: Clinical Data Where Variability Is More Important than AveragesChapter 32: Testing ReproducibilityChapter 33: Validating Qualitative Diagnostic TestsChapter 34: Uncertainty of Qualitative Diagnostic TestsChapter 35: Meta-Analyses of Qualitative Diagnostic TestsChapter 36: Validating Quantitative Diagnostic TestsChapter 37: Summary of Validation Procedures for Diagnostic TestsChapter 38: Validating Surrogate Endpoints of Clinical TrialsChapter 39: Methods for Repeated Measures AnalysisChapter 40: Advanced Analysis Of Variance, Random Effects and Mixed Effects ModelsChapter 41: Monte Carlo Methods for Data AnalysisChapter 42: Physicians’ Daily Life and the Scientific MethodChapter 43: Superiority-TestingChapter 44: Trend-TestingChapter 45: Odds Ratios and Multiple Regression, Why and How to Use ThemChapter 46: Statistics Is No "Bloodless" AlgebraChapter 47: Bias Due to Conflicts of Interests, Some GuidelinesAppendixIndex
Höhe
235 mm
Breite
15.5 cm
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