| Description |
1 online resource (xviii, 227 pages) : illustrations (some color) |
| Contents |
Intro; Foreword; Preface; Acknowledgments; Contents; List of Videos; Part I: Fundamental Biostatistics for Translational Research; 1: Introduction toBiostatistics; 1.1 Core Concepts; 1.2 The Scientific Method; 1.2.1 The Research Process; 1.2.1.1 Hypothesis-Driven Research; 1.2.1.2 Errors inResearch; 1.2.2 Biostatistics Today; 1.2.2.1 Relevance fortheHealth Sciences; 1.2.2.2 Research inTranslational Healthcare; 1.2.3 Self-Study: Practice Problems; 2: Study Design; 2.1 Core Concepts; 2.2 Conceptual Introduction; 2.3 Diagnostic Studies; 2.3.1 Reliability and Validity |
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2.3.2 Specificity and Sensitivity2.4 Prognostic Studies; 2.4.1 Observational Design; 2.4.1.1 Cohort Studies; 2.4.1.2 Case-Control Studies; 2.4.1.3 Cross-Sectional Studies; 2.4.2 Experimental Design; 2.4.2.1 Clinical Trials; 2.5 Self-Study: Practice Problems; 3: Methodology; 3.1 Core Concepts; 3.2 Conceptual Introduction; 3.3 Sample vs. Population; 3.3.1 Sampling Methods; 3.4 Measurement; 3.4.1 Instrument Validity; 3.4.2 Instrument Reliability; 3.5 Data Acquisition; 3.5.1 On Data: Quantitative vs. Qualitative; 3.5.2 Variables; 3.5.2.1 Quantitative; 3.5.2.2 Qualitative |
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3.6 Self-Study: Practice ProblemsRecommended Reading; 4: Descriptive Statistics; 4.1 Core Concepts; 4.2 Conceptual Introduction; 4.3 Tables and Graphs; 4.4 Descriptive Measures; 4.4.1 Measures of Central Tendency; 4.4.2 Measures of Variability; 4.5 Distributions; 4.6 Probability; 4.6.1 Rules of Probability; 4.6.2 Bayesian vs. Frequentist Approach; 4.6.3 Z-Transformation; 4.7 Self-Study: Practice Problems; 5: Inferential Statistics I; 5.1 Core Concepts; 5.2 Conceptual Introduction; 5.3 Principles of Inference and Analysis; 5.3.1 Sampling Distribution |
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5.3.2 Assumptions of Parametric Statistics5.3.3 Hypotheses; 5.4 Significance; 5.4.1 Level of Significance; 5.4.2 P-Value; 5.4.3 Decision-Making; 5.4.3.1 Errors inDecision-Making; 5.4.3.2 Power Analysis; 5.4.3.3 Elements of Power Analysis; 5.5 Estimation; 5.6 Hypothesis Testing; 5.7 Study Validity; 5.7.1 Internal Validity; 5.7.2 External Validity; 5.8 Self-Study: Practice Problems; 6: Inferential Statistics II; 6.1 Core Concepts; 6.2 Conceptual Introduction; 6.3 Details of Statistical Tests; 6.3.1 Critical Values; 6.3.2 Directional vs. Nondirectional Tests |
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6.4 Two-Group Comparisons6.4.1 z Test; 6.4.2 t Test Family; 6.4.2.1 One-Sample t Test; 6.4.2.2 Independent Sample t Test; 6.4.2.3 Dependent Sample t Test; 6.5 Multiple Group Comparison; 6.5.1 ANOVA; 6.6 Continuous Data Analysis; 6.6.1 Associations; 6.6.1.1 Correlation; 6.6.2 Predictions; 6.6.2.1 Simple Linear Regression; 6.6.2.2 Multiple Linear Regression; 6.7 Self-Study: Practice Problem; 7: Nonparametric Statistics; 7.1 Core Concepts; 7.2 Conceptual Introduction; 7.2.1 What Is Nonparametric Statistics?; 7.2.2 When Must WeUse the Nonparametric Paradigm? |
| Summary |
There is an ever-increasing emphasis on evidence-based medicine that is distinguished by systematic crafting of the patient-centered research question, detailed literature searches, and careful appraisal of the resulting evidence. The consensus that ultimately emerges must then be applied in specific clinical settings, and it is to this process that translational effectiveness analysis refers. This portable and easy-to-use handbook is intended as a practical teaching guide on translational effectiveness for students and clinicians. Specifically, it will serve as a primer on patient-centered outcomes research methodology in the health sciences and explain how to acquire and understand the fundamental data that determine which reports are valued as the "best available" evidence. It presents an accessible and readily intelligible set of principles which doctors, dentists, nurses, and insurance carriers will be able to use in the process of health care-related decision-making. |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed June 26, 2018) |
| Subject |
Biometry.
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Medical care -- Statistical methods
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National health services.
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Biostatistics
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Health Services
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Translational Research, Biomedical
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Biometry
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biometrics.
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NATURE -- Reference.
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SCIENCE -- Life Sciences -- Biology.
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SCIENCE -- Life Sciences -- General.
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Biometry
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Medical care -- Statistical methods
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| Form |
Electronic book
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| Author |
Chiappelli, Francesco, author.
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| ISBN |
9783662574379 |
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3662574373 |
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