Read Modern Epidemiologic Principles and Concepts

Modern Epidemiologic Principles and Concepts

Laurens Holmes Jr

4.9/5 (17108 ratings)

Description:Modern Epidemiologic Principles & Concepts This Modern Epidemiologic Principles and Concepts, as a clinical medicine and public health text, introduces the fundamental concepts in epidemiologic investigation and demonstrates how to integrate emerging research on epigenomics into practice, disease control, and prevention. Epidemiology has a vital strategic role in facilitating and leading evidence discovery in all aspects of human health, with the intent of improving patient and population health through disease risk determinants, disease control, and prevention, as well as health promotion practices. Emphasizing what we currently understand about the transformation of the human body and the ecosystem undergo as a result of social structure, environment, daily challenges, and mutation, remains essential in disease improvement and population health optimization. This textbook explores the origin of epidemiology, its relationship with medicine and public health, and its role in assessing disease distribution as occurrence or frequency, predisposing and risk factors, treatment, and management, as well as disease control and management. Further, it explains in detail, the specific epidemiologic design, conduct, analysis, and interpretation. Furthermore, since epidemiology remains translational, this text describes epidemiologic disciplines including although not limited to cancer epidemiology, nutrition epidemiology, environmental epidemiology, health disparities epidemiology, and genetic epidemiology, as well as the elaboration of how gene and environment interaction, termed epigenomic modulations as aberrant, predispose to morbidity, prognosis, survival, and mortality at an individual as well as the specific population level. This 1st edition, Modern Epidemiologic Principles & Concepts remains novel in the application of epigenomic modulations in epidemiologic investigation of disease incidence, morbidity, and mortality at specific population levels for graduate education in public health, clinical sciences as well as medical education. This Modern Epidemiologic Principles and Concepts has filled this gap, not only in the way complex designs are explained but in the simplification of statistical concepts that had rarely been explained in such a way before. This text has been prepared intentionally to include rudimentary level information so as to benefit clinicians who lack a sophisticated mathematical background or previous advanced knowledge of epidemiology, as well as other researchers who may want to conduct clinical research and consumers of research products who may benefit from the design process explained in this book. It is with this expectation and enthusiasm that we recommend this text to clinicians in all fields of clinical, biomedical, and population-based research. The examples provided by the author to simplify designs and research methods are familiar to surgeons, as well as clinicians in other specialties of medicine. Though statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, it alone, without clinical relevance or importance, can be very misleading or even meaningless. The author has attempted to deemphasize p-value in the interpretation of epidemiologic or clinical research findings by stressing the importance of effect size and confidence intervals, which allow for the quantification of evidence and precision, respectively. For example, a large study, due to a large sample size as “big data” that minimizes variability, may show a statistically significant difference when, in reality, the effect size is too insignificant to warrant any clinical importance. In contrast, the results of a small study, such as those frequently seen in clinical trials or surgical research, may have a large effect on clinical relevance but not be statistically significant at (p > 0.05). Thus, without considering the magnitude of the effect size with the confidence interval, we tend to regard these studies as negative findings, which is erroneous since the absence of evidence, based simply on an arbitrary significance level of 5 percent, does not necessarily mean evidence of absence and effect, since clinical research results cannot be adequately interpreted without considering the biological and clinical significance of the data before the statistical stability of the findings (p-value and 95 percent confidence interval), since the p-value, as observed by the authors, merely reflects the size of the study and not the measure of evidence. In recommending this text, it is our hope that this book will benefit clinicians, research fellows, clinical fellows, graduate interns, doctoral and postdoctoral students in medical and clinical settings, nurses, clinical research coordinators, physical therapists, and all those involved in designing and conducting clinical research and analyzing research data for statistical and clinical relevance. Convincingly, knowledge gained from this text will lead to improvement of patient care through well-conceptualized research. Therefore, with the knowledge that no book is complete, no matter its content or volume, especially a book of this nature, which is prepared to guide clinicians and others involved in clinical and medical research on the design, conduct, analysis, and interpretation of findings, we contend this book will benefit clinicians and others who are interested in applying appropriate design to research conduct, analysis, and interpretation of findings. Finally, we are optimistic that this book will bridge the gap between knowledge and practice of clinical research, especially for clinicians in a busy practice who are passionate about making a difference in their patient’s care through research and education.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Modern Epidemiologic Principles and Concepts. To get started finding Modern Epidemiologic Principles and Concepts, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: 381

Format: PDF, EPUB & Kindle Edition

Publisher: Laurens Holmes, Jr

Release: 2025

ISBN: Sb9HEQAAQBAJ

Description: Modern Epidemiologic Principles & Concepts This Modern Epidemiologic Principles and Concepts, as a clinical medicine and public health text, introduces the fundamental concepts in epidemiologic investigation and demonstrates how to integrate emerging research on epigenomics into practice, disease control, and prevention. Epidemiology has a vital strategic role in facilitating and leading evidence discovery in all aspects of human health, with the intent of improving patient and population health through disease risk determinants, disease control, and prevention, as well as health promotion practices. Emphasizing what we currently understand about the transformation of the human body and the ecosystem undergo as a result of social structure, environment, daily challenges, and mutation, remains essential in disease improvement and population health optimization. This textbook explores the origin of epidemiology, its relationship with medicine and public health, and its role in assessing disease distribution as occurrence or frequency, predisposing and risk factors, treatment, and management, as well as disease control and management. Further, it explains in detail, the specific epidemiologic design, conduct, analysis, and interpretation. Furthermore, since epidemiology remains translational, this text describes epidemiologic disciplines including although not limited to cancer epidemiology, nutrition epidemiology, environmental epidemiology, health disparities epidemiology, and genetic epidemiology, as well as the elaboration of how gene and environment interaction, termed epigenomic modulations as aberrant, predispose to morbidity, prognosis, survival, and mortality at an individual as well as the specific population level. This 1st edition, Modern Epidemiologic Principles & Concepts remains novel in the application of epigenomic modulations in epidemiologic investigation of disease incidence, morbidity, and mortality at specific population levels for graduate education in public health, clinical sciences as well as medical education. This Modern Epidemiologic Principles and Concepts has filled this gap, not only in the way complex designs are explained but in the simplification of statistical concepts that had rarely been explained in such a way before. This text has been prepared intentionally to include rudimentary level information so as to benefit clinicians who lack a sophisticated mathematical background or previous advanced knowledge of epidemiology, as well as other researchers who may want to conduct clinical research and consumers of research products who may benefit from the design process explained in this book. It is with this expectation and enthusiasm that we recommend this text to clinicians in all fields of clinical, biomedical, and population-based research. The examples provided by the author to simplify designs and research methods are familiar to surgeons, as well as clinicians in other specialties of medicine. Though statistical inference is essential in our application of the research findings to clinical decision-making regarding the care of our patients, it alone, without clinical relevance or importance, can be very misleading or even meaningless. The author has attempted to deemphasize p-value in the interpretation of epidemiologic or clinical research findings by stressing the importance of effect size and confidence intervals, which allow for the quantification of evidence and precision, respectively. For example, a large study, due to a large sample size as “big data” that minimizes variability, may show a statistically significant difference when, in reality, the effect size is too insignificant to warrant any clinical importance. In contrast, the results of a small study, such as those frequently seen in clinical trials or surgical research, may have a large effect on clinical relevance but not be statistically significant at (p > 0.05). Thus, without considering the magnitude of the effect size with the confidence interval, we tend to regard these studies as negative findings, which is erroneous since the absence of evidence, based simply on an arbitrary significance level of 5 percent, does not necessarily mean evidence of absence and effect, since clinical research results cannot be adequately interpreted without considering the biological and clinical significance of the data before the statistical stability of the findings (p-value and 95 percent confidence interval), since the p-value, as observed by the authors, merely reflects the size of the study and not the measure of evidence. In recommending this text, it is our hope that this book will benefit clinicians, research fellows, clinical fellows, graduate interns, doctoral and postdoctoral students in medical and clinical settings, nurses, clinical research coordinators, physical therapists, and all those involved in designing and conducting clinical research and analyzing research data for statistical and clinical relevance. Convincingly, knowledge gained from this text will lead to improvement of patient care through well-conceptualized research. Therefore, with the knowledge that no book is complete, no matter its content or volume, especially a book of this nature, which is prepared to guide clinicians and others involved in clinical and medical research on the design, conduct, analysis, and interpretation of findings, we contend this book will benefit clinicians and others who are interested in applying appropriate design to research conduct, analysis, and interpretation of findings. Finally, we are optimistic that this book will bridge the gap between knowledge and practice of clinical research, especially for clinicians in a busy practice who are passionate about making a difference in their patient’s care through research and education.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Modern Epidemiologic Principles and Concepts. To get started finding Modern Epidemiologic Principles and Concepts, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Modern Epidemiologic Principles and Concepts

Modern Epidemiologic Principles and Concepts

More Books

Applied Epigenomic Epidemiology Essentials: A Guide to Study Design and Conduct

Applied Epigenomic Epidemiology Essentials: A Guide to Study Design and Conduct

Applied Epigenomic Epidemiology Essentials

Applied Epigenomic Epidemiology Essentials

Applied Public Health Essentials: Lectures/Discussion/Assessment

Applied Public Health Essentials: Lectures/Discussion/Assessment

Modern Epidemiologic Principles & Concepts': Guidelines for Study Design, Conduct & Application

Modern Epidemiologic Principles & Concepts': Guidelines for Study Design, Conduct & Application

Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation

Applied Biostatistical Principles and Concepts: Clinicians' Guide to Data Analysis and Interpretation

Concise Biostatistical Principles & Concepts: Guidelines for Clinical and Biomedical Researchers

Concise Biostatistical Principles & Concepts: Guidelines for Clinical and Biomedical Researchers

SARS-CoV2 (COVID-19) Pandemic Control and Prevention: An Epidemiological Perspective

SARS-CoV2 (COVID-19) Pandemic Control and Prevention: An Epidemiological Perspective

Concise Biostatistical Principles and Concepts: Clinical, Biomedical & Population-Based Guide for Study Analysis & Interpretation

Concise Biostatistical Principles and Concepts: Clinical, Biomedical & Population-Based Guide for Study Analysis & Interpretation