Applied Epidemiologic Principles and Concepts, Holmes Jr., Laurens

Автор: Silman Alan J
Название: Epidemiological Studies: A Practical Guide
ISBN: 0198814720 ISBN-13(EAN): 9780198814726
Издательство: Oxford Academ
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Цена: 48040.00 T
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Описание: This is a practical, hands on guide to the design, planning, conduct, analysis and interpretation of epidemiological studies. It applies to all human studies of health and disease that require the collection and analysis of data to answer questions on disease risk, health outcomes and the effects of interventions in `real world` populations.

Автор: Kleinbaum
Название: Epidemiologic Research
ISBN: 047128985X ISBN-13(EAN): 9780471289852
Издательство: Wiley
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Цена: 174190.00 T
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Описание: Epidemiologic Research Principles and Quantitative Methods David G. Kleinbaum, Ph.D. Lawrence L. Kupper. Ph.D. Hal Morgenstern, Ph.D. Epidemiologic Research covers the principles and methods of planning, analysis and interpretation of epidemiologic research studies.

Автор: Krieger, Nancy
Название: Embodying Inequality
ISBN: 0895032945 ISBN-13(EAN): 9780895032942
Издательство: Taylor&Francis
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Цена: 137810.00 T
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Автор: Lash Timothy L., Fox Dsc Mph Matthew P., Maclehose Phd MS Richard F.
Название: Applying Quantitative Bias Analysis to Epidemiologic Data
ISBN: 3030826724 ISBN-13(EAN): 9783030826727
Издательство: Springer
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Цена: 55890.00 T
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Описание: Part I: Introduction
1 Introduction and Objectives1 Introduction 1.2 Nonrandomized Epidemiologic Research 1.3 The Treatment of Uncertainty in Nonrandomized Research 1.4 Objective 1.5 Conclusion 2 A Guide to Implementing Quantitative Bias Analysis 2.1 Introduction 2.2 Reducing Error 2.3 Reducing Error by Design 2.4 Reducing Error in the Analysis 2.5 Quantifying Error 2.6 Evaluating the Potential Value of Quantitative Bias Analysis2.7 Planning for Bias Analysis 2.8 Creating a Data Collection Plan for Bias Analysis 2.9 Creating an Analytic Plan for a Bias Analysis 2.10 Bias Analysis Techniques 2.11 Introduction to Inference 2.12 Conclusion 3 Data Sources for Bias Analysis 3.1 Bias Parameters 3.2 Internal Data Sources 3.3 Selection Bias 3.4 Uncontrolled Confounder 3.5 Information Bias 3.6 Limitations of Internal Validation Studies 3.7 External Data Sources 3.8 Selection Bias 3.9 Uncontrolled Confounder 3.10 Information Bias 3.11 Summary
Part II: Preliminary Methods to Adjust for Systematic Errors 4 Selection Bias 4.1 Introduction 4.2 Definitions and Terms4.3 Motivation for Bias Analysis 4.4 Sources of Data 4.5 Simple Correction for Differential Initial Participation 4.6 Simple Correction for Differential Loss-to-Follow-up4.7 Sensitivity Analysis of the Bias Analysis 4.7 Signed Directed Acyclic Graphs to Estimate the Direction of Bias 5 Uncontrolled Confounders 5.1 Introduction 5.2 Definitions and Terms5.3 Motivation for Bias Analysis 5.4 Sources of Data5.5 Introduction to Simple Bias Analysis 5.6 Implementation of Simple Bias Analysis5.7 Sensitivity Analysis of the Bias Analysis 5.8 Uncontrolled Confounder in the Presence of Effect Modification 5.9 Polytomous Confounders 5.10 Bounding the Bias Limits of Uncontrolled Confounding5.10 Signed Directed Acyclic Graphs to Estimate the Direction of Bias5.11 Uncontrolled Confounding with Continuous Outcome, Exposure, or Confounder 6 Misclassification 6.1 Introduction 6.2 Definitions and Terms6.3 Motivation for Bias Analysis6.4 Sources of Data6.5 Calculating Classification Bias Parameters from Validation Data6.6 Exposure Misclassification for Dichotomous Exposures6.7 Exposure Misclassification for Polytomous Exposures6.8 Disease Misclassification 6.9 Covariate Misclassification 6.10 Dependent Misclassification6.11 Sensitivity Analysis of the Bias Analysis6.12 Adjusting Standard Errors for Corrections 7 Measurement Error for Continuous Variables7.1 Introduction7.2 Definition and Terms7.3 Motivation for Bias Analysis7.4 Exposure Measurement error7.5 Outcome Measurement error7.6 Covariate Measurement Error7.7 Correlated errors 8 Multiple Bias Modeling 8.1 Introduction 8.2 Order of Bias Analyses8.3 Multiple Bias Analysis, Simple Methods
Part III: Methods to Incorporate Systematic and Random Errors 9 Bias Analysis by Simulatio

Автор: Savitz David A., Wellenius Gregory A.
Название: Interpreting Epidemiologic Evidence: Connecting Research to Applications
ISBN: 0190243775 ISBN-13(EAN): 9780190243777
Издательство: Oxford Academ
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Описание: Interpreting Epidemiologic Evidence offers those who have had an introductory course in epidemiology the knowledge they need to make connections from research findings to practical applications.

Автор: Winfried Schr?der; Gunther Schmidt
Название: Modelling Potential Malaria Spread in Germany by Use of Climate Change Projections
ISBN: 3319038222 ISBN-13(EAN): 9783319038223
Издательство: Springer
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Цена: 47880.00 T
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Описание: This volume on a high-profile modern issue presents a sophisticated, integrated risk assessment approach to modeling the potential return of malaria to Germany, which could be triggered by the higher temperatures resulting from global climate change.

Автор: Anthony B. Miller
Название: Epidemiologic Studies in Cancer Prevention and Screening
ISBN: 1489992596 ISBN-13(EAN): 9781489992598
Издательство: Springer
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Цена: 121110.00 T
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Описание: Offering the first comprehensive overview of the evidence base for cancer prevention and screening, this book provides both a realistic appraisal of the evidence for prevention and cancer screening, and an accounting of the impact of current efforts.

Автор: Nakashima
Название: Epidemiologic Research on Real-World Medical Data in Japan
ISBN: 9811916217 ISBN-13(EAN): 9789811916212
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book analyzes the development of medical big data projects in Japan. Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue. To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan. After introducing four major big data projects in the healthcare–medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan. This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.

Автор: Krieger
Название: Embodying Inequality
ISBN: 0415783852 ISBN-13(EAN): 9780415783859
Издательство: Taylor&Francis
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Цена: 60220.00 T
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Описание: To advance the epidemiological analysis of social inequalities in health, and of the ways in which population distributions of disease, disability, and death reflect embodied expressions of social inequality, this volume draws on articles published in the "International Journal of Health Services" between 1990 and 2000.

Название: Epidemiologic research on real-world medical data in japan
ISBN: 9811663750 ISBN-13(EAN): 9789811663758
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book analyzes the development of medical big data projects in Japan. Japan is experiencing unprecedented population aging, and labor productivity has decreased accordingly. Big data analysis of the Japanese medical real-world database (RWD) has the potential to tackle this issue. To allow readers to gain an understanding of Japanese medical big data analysis, the book discusses the original Japanese system that generates medical RWDs in the hospital medical records system, the nationwide standardized health checkup system, and the public medical insurance system in Japan. After introducing four major big data projects in the healthcare–medical field in Japan, the book explains the importance of creating information standards to maintain data quality and to analyze medical big data. It enables readers to analyze which standards are installed in which RWDs, how the standards are maintained, and which issues are prevalent in Japan. This book also describes the ethical processes involved in big data projects involving medical RWDs in Japan.

Автор: Janice S. Dorman
Название: Standardization of Epidemiologic Studies of Host Susceptibility
ISBN: 1489912150 ISBN-13(EAN): 9781489912152
Издательство: Springer
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Цена: 139750.00 T
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Описание: Proceedings of a NATO ARW held in Pittsburgh, Pennsylvania, June 23-27, 1992.

Автор: Koepsell Thomas D., Weiss Noel S.
Название: Epidemiologic Methods: Studying the Occurrence of Illness
ISBN: 0195314468 ISBN-13(EAN): 9780195314465
Издательство: Oxford Academ
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Цена: 108240.00 T
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Описание: This second edition of Epidemiologic Methods offers a rigorous introduction to the concepts and tools of epidemiologic research. Aimed chiefly at future epidemiologists, the book offers clear descriptions, practical examples, and question/answer sections for each of the science's key concepts.
Authored by two award-winning epidemiology instructors, this book is ideally suited for use as a text in a graduate-level course sequence in epidemiologic methods.

The book's chapters are organized around three main themes: general concepts and tools of epidemiology; major study designs; and special topics, including screening, outbreak investigations, and use of epidemiology to evaluate policies and programs.

With additional exercises at the end of each chapter and expanded attention to topics such as confounding, this new edition of Epidemiologic Methods is an indispensable resource for the next generation of epidemiologic study.