Clinical Epidemiology

Clinical Epidemiology（Methods in Molecular Biology）

临床流行病学：实践与方法第3版
流行病学

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作者

Patrick S. Parfrey Brendan J. Barrett

出版社

Humana Press

出版时间

2022年04月20日

装帧

平装

ＩＳＢＮ

9781071611401

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页码

650

开本

10.00 x 7.00 x 1.34

语种

英文

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暂无评分

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图书简介

This third edition volume expands on the previous editions with updated chapters on longitudinal studies, randomized trials, evidence-based decisions making, and a new section on changing health-related behaviors. The chapters in this book are organized into six parts: Part One focuses on framing clinical research questions and choosing a suitable design; biases that may occur in clinical research; and the ethics associated with doing conducting research on humans. Parts Two through Four discuss designs, measurements, and analysis that pertain to evaluation of risk in longitudinal studies; assessment of therapy in controlled trials; and evaluation of diagnostic tests. Part Five presents methods used in various components of evidence-based decision-making; and Part Six highlights interventions focused on changing health-related behaviors. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of various types of bias, step-by-step, readily reproducible protocols for different research designs, and tips on troubleshooting and avoiding known pitfalls.Cutting-edge and thorough, Clinical Epidemiology: Methods and Protocols, Third Edition is a valuable resource for clinicians and researchers who want to expand their works to humans and use their findings in the health system.

On Framing the Research Question and Choosing the Appropriate Research Design.- Bias in Clinical Research.- Definitions of Bias in Clinical Research.- Research Ethics for Clinical Researchers.- Ethical, Legal, and Social Issues (ELSI) in Clinical Genetics Research.- Longitudinal Studies 1: Determinants of Risk.- Longitudinal Studies 2: Modeling Data using Multivariate Analysis.- Longitudinal Studies 3: Data Modeling using Standard Regression Models and Extensions.- Longitudinal Studies 4: Matching Strategies to Evaluate Risk.- Longitudinal Studies 5: Development of Risk Prediction Models for Patients with Chronic Disease.- Randomized Controlled Trials 1: Design.- Randomized Controlled Trials 2: Analysis.- Randomized Controlled Trials 3: Measurement and Analysis of Patient-Reported Outcomes.- Randomized Controlled Trials 4: Planning, Analysis, and Interpretation of Quality of Life Studies.- Randomized Controlled Trials 5: Biomarkers and Surrogates/Outcomes.- Randomized Controlled Trials 6: Determining the Sample Size and Power for Clinical Trials and Cohort Studies.- Randomized Controlled Trials 7: On Contamination and Estimating the Actual Treatment Effect.- Evaluation of Diagnostic Tests.- Genetic Epidemiology of Complex Phenotypes.- Qualitative Research in Clinical Epidemiology.- Evidence Based Decision Making 1: Critical Appraisal.- Evidence Based Decision Making 2: Systematic Review and Meta-Analysis.- Evidence-Based Decision Making 3: Health Technology Assessment.- Evidence-Based Decision Making 4: Clinical Practice Guidelines.- Evidence-Based Decision Making 5: Knowledge Translation and the Knowledge to Action Cycle.- Evidence-Based Decision Making 6: Administrative Databases as Secondary Data Source for Epidemiologic and Health Service Research.- Methods in Evidence-Based Decision Making 7: Health Economics in Clinical Research.- Methods in Evidence-Based Decision Making 8: A Primer for Researchers.- Changing Health-Related Behaviors 1: Patient-Oriented Research and Patient Engagement in Health Research.- Changing Health-Care Behaviors 2: On Improving the Value of Health Spending.- Changing Health-Related Behaviors 3: Lessons from Implementation Science.- Changing Health-Related Behaviors 4: Realizing Impact of Health Research through Knowledge Translation.- Changing Health-Related Behaviors 5: On Interventions to Change Physician Behaviors.- Changing Health-Related Behaviors 6: Analysis, Interpretation, and Application of Big Data.

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