Epidemiology Beyond The Basics Pdf
This book was conceived as an intermediate epidemiology textbook. Similarly to the first and second editions, the third edition explores and discusses key epidemiologic concepts and basic methods in more depth than that found in basic textbooks on epidemiology. For the third edition, new examples and exercises have been added to all chapters. In Chapters 7 and 10, respectively, we included discussions of novel epidemiologic strategies for handling confounding (i.e., instrumental variables and propensity scores) and of decision tree as a decision-making tool.
Epidemiology Beyond The Basics Pdf
Part 1 Introduction Chapter 1 Basic Study Designs in Analytical Epidemiology Part 2 Measures of Disease Occurrence and Association Chapter 2 Measuring Disease Occurrence Chapter 3 Measuring Associations Between Exposures and Outcomes Part 3 Threats to Validity and Issue s of Interpretation Chapter 4 Understanding Lack of Validity: Bias Chapter 5 Identifying Noncausal Associations: Confounding Chapter 6 Defining and Assessing Heterogeneity of Effects: Interaction Part 4 Dealing with Threats to Validity Chapter 7 Stratification and Adjustment: Multivariate Analysis in Epidemiology Chapter 8 Quality Assurance and Control Part 5 Issue s of Reporting and Application of Epidemiologic Results Chapter 9 Communicating Results of Epidemiologic Studies Chapter 10 Epidemiologic Issue s in the Interface with Public Health Policy Appendix A Standard Errors, Confidence Intervals, and Hypothesis Testing For Selected Measures of Risk and Measures of Association Appendix B Test for Trend (Dose Responses) Appendix C Test of Homogeneity of Stratified Estimates (Test for Interaction) Appendix D Quality Assurance and Quality Control Procedures Manual for Blood Pressure Measurement and Blood/Urine Collection in the ARIC Study Appendix E Calculation of the Intraclass Correlation Coefficient Appendix F Exercises-AnswersShow Moreif(typeof performance.mark !== 'undefined' && typeof performance.measure !== 'undefined')performance.mark("Product_Tabs_loading_end");performance.measure("productTabsDur","Product_Tabs_loading_start","Product_Tabs_loading_end");Related Subjects Epidemiology & Biostatistics Epidemiology & BiostatisticsEditorial ReviewsReviewer: Robert McCarter, ScD (University of Maryland at Baltimore School of Medicine) Description: This text is a sophisticated treatment of the issues that arise and methods that are employed when epidemiologists seek to measure disease risk and to investigate the complex determinants of risk.Purpose: The purpose is to serve as an intermediate text, a bridge between the basics and the specialized texts that focus on specific methods or research designs. The real contribution is that the authors integrate and unify the treatment of these methods and their interpretation from the perspective of experienced epidemiologists, not merely data analysts. They present the full range of issues in this book in a way that is accessible to all, yet they avoid oversimplification.Audience: The audience for this gap-filling book is diverse, spanning the range from students enrolled in a second course in epidemiology, to practitioners who may use the book as a reference, to teachers of epidemiology.Features: The book fills a niche in the field of epidemiology texts because it represents a unified presentation of advanced concepts in measurement of risk and association within the context of the principal study designs. The concepts of bias, confounding, and interaction are addressed in depth, as is their impact on study validity and causative reasoning. The treatment of the impact of time, including age, secular trend, and cohort effects is excellent, as is the discussion of stratification and regression-based modeling in accounting for confounding and effect modification. I only wish the authors had included a chapter on screening and prevention.Assessment: Although this book is likely to be a standard addition to the library of most students and practitioners in the field of epidemiology, its clarity and richness of content make it attractive to any health professional. This book fills a unique niche and therefore has little direct competition. The books that overlap somewhat include Kahn and Sempos's Statistical Methods in Epidemiology (Monographs in Epidemiology and Biostatistics, Vol. 12), (Oxford Univ Press 1989) and Selvin's Statistical Analysis of Epidemiologic Data (Monographs in Epidemiology and Biostatistics, Vol. 25) (Oxford Univ Press, 1996). However, these are more descriptions of methods and thus lack the rich discussion of the role of these methods and the issues they address in the broader context of epidemiological reasoning.
With examples from the literature, this chapter clarifies aspects of epidemiology, including study designs and prevention or correction of potential biases. This chapter provides insight to clinicians and other health professionals on cancer epidemiology and helps them communicate and interpret research findings to patients. In addition, the chapter reviews the epidemiologic literature, discussing examples and the magnitude of cancer-related risk factors.
The scientific basis for claims of efficacy of nosocomial infection surveillance and control programs was established by the Study on the Efficacy of Nosocomial Infection Control project. Subsequent analyses have demonstrated nosocomial infection prevention and control programs to be not only clinically effective but also cost-effective. Although governmental and professional organizations have developed a wide variety of useful recommendations and guidelines for infection control, and apart from general guidance provided by the Joint Commission on Accreditation of Healthcare Organizations, there are surprisingly few recommendations on infrastructure and essential activities for infection control and epidemiology programs. In April 1996, the Society for Healthcare Epidemiology of America established a consensus panel to develop recommendations for optimal infrastructure and essential activities of infection control and epidemiology programs in hospitals. The following report represents the consensus panel's best assessment of needs for a healthy and effective hospital-based infection control and epidemiology program. The recommendations fall into eight categories: managing critical data and information; setting and recommending policies and procedures; compliance with regulations, guidelines, and accreditation requirements; employee health; direct intervention to prevent transmission of infectious diseases; education and training of healthcare workers; personnel resources; and nonpersonnel resources. The consensus panel used an evidence-based approach and categorized recommendations according to modifications of the scheme developed by the Clinical Affairs Committee of the Infectious Diseases Society of America and the Centers for Disease Control and Prevention's Hospital Infection Control Practices Advisory Committee.