Concise Epidemiologic Principles And Concepts
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Concise Epidemiologic Principles And Concepts
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Author : Laurens Holmes Jr.
language : en
Publisher: AuthorHouse
Release Date : 2013-09-11
Concise Epidemiologic Principles And Concepts written by Laurens Holmes Jr. and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-11 with Education categories.
This textbook describes the basics of research in medical, clinical, and biomedical settings as well as the concepts and application of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors of design/sampling cannot be corrected. The authors of this textbook have presented a complex field in a very simplified and reader-friendly manner with the intent that such presentation will facilitate the understanding of design process and epidemiologic thinking in clinical and biomedical research. Covers these relevant topics in epidemiology: Case-Cohort Design Prospective Case-Control Quantitative Evidence Synthesis (QES) Instant Cohort Design & Case-Crossover Design Effect Modification & Interaction Epidemiologic Tree - Molecular Epidemiology & Health Disparities Epidemiologic Challenge Big Data, mHealth, Social Media 3 Ts - Team Science, Transdisciplinary Research, Translational Research Bias, Random error, Confounding Systems Science & Evidence Discovery Research is presented as an exercise around measurement, with measurement error inevitable in its conducthence the inherent uncertainties of all findings in clinical and biomedical research. Concise Epidemiologic Principles and Concepts covers research conceptualization, namely research objectives, questions, hypothesis, design, implementation, data collection, analysis, results, and interpretation. While the primary focus of epidemiology is to assess the relationship between exposure (risk or predisposing factor) and outcome (disease or health-related event), causal association is presented in a simplified manner, including the role of quantitative evidence synthesis (meta-analysis) in causal inference. Epidemiology has evolved over the past three decades resulting in several fields being developed. This text presents in brief the perspectives and future of epidemiology in the era of the molecular basis of medicine. With molecular epidemiology, we are better equipped with tools to identify molecular biologic indicators of risk as well as biologic alterations in the early stages of disease.
Applied Epidemiologic Principles And Concepts
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Author : Laurens Holmes, Jr.
language : en
Publisher: CRC Press
Release Date : 2017-12-14
Applied Epidemiologic Principles And Concepts written by Laurens Holmes, Jr. and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-14 with Medical categories.
This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics in attempt to improve the health of patients and populations. This book presents the extreme complexity of epidemiologic research in a concise manner that will address the issue of confounders, thus allowing for more valid inferences and yielding results that are more reliable and accurate.
Concise Biostatistical Principles Concepts
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Author : Laurens Holmes, Jr. and Franklin Opara
language : en
Publisher: Author House
Release Date : 2014-03
Concise Biostatistical Principles Concepts written by Laurens Holmes, Jr. and Franklin Opara and has been published by Author House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03 with Education categories.
Biostatistics deals with making sense of data. While statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, statistical inference without clinical relevance or importance can be very misleading and even meaningless. This textbook has attempted to deemphasize p value in the interpretation of clinical and biomedical data by stressing the importance of confidence intervals, which allow for the quantification of evidence. For example, a large study due to a large sample size that minimizes variability may show a statistically significant difference while in reality the difference is too insignificant to warrant any clinical relevance. Covers these relevant topics in biostatistics: Design Process, Sampling & Reality in Statistical Modeling Basics of Biostatistical Reasoning & Inference Central Tendency Theorem & Measures of Dispersion Most commonly used & abused parametric test - t test Most commonly used & abused non-parametric test - chi squared statistic Sample size and power estimations Logistic/Binomial Regression Models - Binary Outcomes Time-to-Event Data - Survival Analysis & Count Data - Poisson Regression ANOVA, ANCOVA - Mixed Effects Model (Fixed and Random), RANOVA, GEE Simple & Multiple Linear Regression Models Correlation Analysis (Pearson & Spearman Rank) Clinical & Statistical Significance - p value as a function of sample size Clinical and biomedical researchers often ignore an important aspect of evidence discovery from their funded or unfunded projects. Since the attempt is to illustrate some sets of relationships from the data set, researchers often do not exercise substantial amount of time in assessing the reliability and validity of the data to be utilized in the analysis. However, the expected inference or the conclusion to be drawn is based on the analysis of the un-assessed data. Reality in statistical modeling of biomedical and clinical research data remains the focus of scientific evidence discovery, and this book. This text is written to highlight the importance of appropriate design prior to analysis by placing emphasis on subject selection and probability sample and the randomization process when applicable prior to the selection of the analytic tool. In addition, this book stresses the importance of biologic and clinical significance in the interpretation of study findings. The basis for statistical inference, implying the quantification of random error is random sample, which had been perpetually addressed in this book. When studies are conducted without a random sample, except when disease registries/databases or consecutive subjects are utilized, as often encountered in clinical and biomedical research, it is meaningless to report the findings with p value.
Understanding Epidemiology
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Author : Mary E. Torrence
language : en
Publisher:
Release Date : 1997
Understanding Epidemiology written by Mary E. Torrence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Epidemiology categories.
New in Mosby's Biomedical Science Series, this handbook provides a quick, organized approach to epidemiology. Each chapter discusses a key principle, with definitions of important terms, examples of fundamental concepts, and related principles. Concise discussions clearly present the material with a "just the facts" format Emphasises principles throughout
Concise Biostatistical Principles Concepts
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Author : Laurens Holmes Jr.
language : en
Publisher: AuthorHouse
Release Date : 2014-03-06
Concise Biostatistical Principles Concepts written by Laurens Holmes Jr. and has been published by AuthorHouse this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-06 with Science categories.
Biostatistics deals with making sense of data. While statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, statistical inference without clinical relevance or importance can be very misleading and even meaningless. This textbook has attempted to deemphasize p value in the interpretation of clinical and biomedical data by stressing the importance of confidence intervals, which allow for the quantification of evidence. For example, a large study due to a large sample size that minimizes variability may show a statistically significant difference while in reality the difference is too insignificant to warrant any clinical relevance. Covers these relevant topics in biostatistics: Design Process, Sampling & Reality in Statistical Modeling Basics of Biostatistical Reasoning & Inference Central Tendency Theorem & Measures of Dispersion Most commonly used & abused parametric test t test Most commonly used & abused non-parametric test chi squared statistic Sample size and power estimations Logistic/Binomial Regression Models Binary Outcomes Time-to-Event Data - Survival Analysis & Count Data Poisson Regression ANOVA, ANCOVA Mixed Effects Model (Fixed and Random), RANOVA,GEE Simple & Multiple Linear Regression Models Correlation Analysis (Pearson & Spearman Rank) Clinical & Statistical Significance p value as a function of sample size Clinical and biomedical researchers often ignore an important aspect of evidence discovery from their funded or unfunded projects. Since the attempt is to illustrate some sets of relationships from the data set, researchers often do not exercise substantial amount of time in assessing the reliability and validity of the data to be utilized in the analysis. However, the expected inference or the conclusion to be drawn is based on the analysis of the un-assessed data. Reality in statistical modeling of biomedical and clinical research data remains the focus of scientific evidence discovery, and this book. This text is written to highlight the importance of appropriate design prior to analysis by placing emphasis on subject selection and probability sample and the randomization process when applicable prior to the selection of the analytic tool. In addition, this book stresses the importance of biologic and clinical significance in the interpretation of study findings. The basis for statistical inference, implying the quantification of random error is random sample, which had been perpetually addressed in this book. When studies are conducted without a random sample, except when disease registries/databases or consecutive subjects are utilized, as often encountered in clinical and biomedical research, it is meaningless to report the findings with p value.
Epidemiology
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Author : Leon Gordis
language : en
Publisher: Elsevier Health Sciences
Release Date : 2008-07-02
Epidemiology written by Leon Gordis and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-02 with Medical categories.
This popular book is written by the award-winning teacher, Dr. Leon Gordis of the Bloomberg School of Public Health at Johns Hopkins University. He introduces the basic principles and concepts of epidemiology in clear, concise writing and his inimitable style. This book provides an understanding of the key concepts in the following 3 fully updated sections: Section I: The Epidemiologic Approach to Disease and Intervention; Section II: Using Epidemiology to Identify the Causes of Disease; Section III: Applying Epidemiology to Evaluation and Policy. Clear, practical graphs and charts, cartoons, and review questions with answers reinforce the text and aid in comprehension. Utilizes new full-color format to enhance readability and clarity. Provides new and updated figures, references and concept examples to keep you absolutely current - new information has been added on Registration of Clinical Trials, Case-Cohort Design, Case-Crossover Design, and Sources and Impact of Uncertainty (disease topics include: Obesity, Asthma, Thyroid Cancer, Helicobacter Pylori and gastric/duodenal ulcer and gastric cancer, Mammography for women in their forties) - expanded topics include Person-time. Please note: electronic rights were not granted for several images in this product. Introduces both the underlying concepts as well as the practical uses of epidemiology in public health and in clinical practice. Systemizes learning and review with study questions in each section and an answer key and index. Illustrates textual information with clear and informative full-color illustrations, many created by the author and tested in the classroom.
Concepts Of Epidemiology
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Author : Raj S. Bhopal
language : en
Publisher: Oxford University Press
Release Date : 2016
Concepts Of Epidemiology written by Raj S. Bhopal and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Medical categories.
First edition published in 2002. Second edition published in 2008.
Epidemiology And Biostatistics
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Author : Bryan Kestenbaum
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-08-28
Epidemiology And Biostatistics written by Bryan Kestenbaum and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-08-28 with Medical categories.
Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology
Epidemiology For The Advanced Practice Nurse
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Author : Demetrius Porche, DNS, PhD, ANEF, FACHE, FAANP, FAAN
language : en
Publisher: Springer Publishing Company
Release Date : 2022-01-17
Epidemiology For The Advanced Practice Nurse written by Demetrius Porche, DNS, PhD, ANEF, FACHE, FAANP, FAAN and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-17 with Medical categories.
Written by nurses for nurses, this graduate-level text disseminates the core principles of epidemiology within a population health framework and provides practical knowledge nurses can use to analyze and improve healthcare in the community. Informed by the evolution of epidemiological science resulting from the Covid-19 pandemic, this book demonstrates how epidemiology can have a profound impact on health. It showcases a variety of settings and epidemiological roles demonstrating the importance and practicality of this discipline. Clear and concise, this text explains the basics of population health followed by epidemiology concepts and designs. It is distinguished by its application-based case studies, analytical tools of epidemiology, and calculations, which foster skill development and necessary familiarity of the subject. Also included is an important Biostatistics Primer, relevant content from Healthy People 2030, and an "Epidemiology in Practice" section focusing on examples from different epidemiology arenas. Key Features: Includes application-based cases, tools, and calculations throughout to help students develop practical epidemiologic skills Provides background and understanding of health disparities and determinants of health Includes relevant information from Healthy People 2030 Includes discussion questions, learning objectives, terminology review, tables, and figures in each chapter Delivers up-to-date information on epidemiology in the time of Covid-19 Includes access to an Instructor's Manual with additional case studies
Basic Epidemiology
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Author : R. Bonita
language : en
Publisher: World Health Organization
Release Date : 2006
Basic Epidemiology written by R. Bonita and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Medical categories.
Basic epidemiology provides an introduction to the core principles and methods of epidemiology, with a special emphasis on public health applications in developing countries. This edition includes chapters on the nature and uses of epidemiology; the epidemiological approach to defining and measuring the occurrence of health-related states in populations; the strengths and limitations of epidemiological study designs; and the role of epidemiology in evaluating the effectiveness and efficiency of health care. The book has a particular emphasis on modifiable environmental factors and encourages the application of epidemiology to the prevention of disease and the promotion of health, including environmental and occupational health.