A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book: • Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses • Provides exercises at the end of each chapter • Contains a solutions chapter with answers in STATA, SAS, SPSS, and R • Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUÁREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PÉREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTÍNEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields.
Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiolo
A one-stop guide for public health students and practitioners learning the applications of classical regression models in epidemiology This book is written for public health professionals and students interested in applying regression models in the field of epidemiology. The academic material is usually covered in public health courses including (i) Applied Regression Analysis, (ii) Advanced Epidemiology, and (iii) Statistical Computing. The book is composed of 13 chapters, including an introduction chapter that covers basic concepts of statistics and probability. Among the topics covered are linear regression model, polynomial regression model, weighted least squares, methods for selecting the best regression equation, and generalized linear models and their applications to different epidemiological study designs. An example is provided in each chapter that applies the theoretical aspects presented in that chapter. In addition, exercises are included and the final chapter is devoted to the solutions of these academic exercises with answers in all of the major statistical software packages, including STATA, SAS, SPSS, and R. It is assumed that readers of this book have a basic course in biostatistics, epidemiology, and introductory calculus. The book will be of interest to anyone looking to understand the statistical fundamentals to support quantitative research in public health. In addition, this book: • Is based on the authors’ course notes from 20 years teaching regression modeling in public health courses • Provides exercises at the end of each chapter • Contains a solutions chapter with answers in STATA, SAS, SPSS, and R • Provides real-world public health applications of the theoretical aspects contained in the chapters Applications of Regression Models in Epidemiology is a reference for graduate students in public health and public health practitioners. ERICK SUÁREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. He received a Ph.D. degree in Medical Statistics from the London School of Hygiene and Tropical Medicine. He has 29 years of experience teaching biostatistics. CYNTHIA M. PÉREZ is a Professor of the Department of Biostatistics and Epidemiology at the University of Puerto Rico School of Public Health. She received an M.S. degree in Statistics and a Ph.D. degree in Epidemiology from Purdue University. She has 22 years of experience teaching epidemiology and biostatistics. ROBERTO RIVERA is an Associate Professor at the College of Business at the University of Puerto Rico at Mayaguez. He received a Ph.D. degree in Statistics from the University of California in Santa Barbara. He has more than five years of experience teaching statistics courses at the undergraduate and graduate levels. MELISSA N. MARTÍNEZ is an Account Supervisor at Havas Media International. She holds an MPH in Biostatistics from the University of Puerto Rico and an MSBA from the National University in San Diego, California. For the past seven years, she has been performing analyses for the biomedical research and media advertising fields.
Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14. The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiolo
The Lord Jesus Christ intended his kingdom present on earth, the Church of God, to be one, holy, catholic, and apostolic. Prior to the Protestant Reformation in the sixteenth century, history tells of the most egregious division in the Church between the Latin West and Byzantine East in AD 1054 and following. How can it be that Catholics and Orthodox share a thousand years of ecclesial life together in one faith, sacramental order, and hierarchical government, only to have that bond of communion broken? Historians and theologians throughout the years have spilled much ink in recounting the causes and effects of this dreadful and heart-wrenching division, and among the many debates that exist between Catholics and Orthodox, none are as vital to the task of reconciliation as the subject of the papacy. In The Papacy: Revisiting the Debate between Catholics and Orthodox, Erick Ybarra examines sources from the first millennium with a fresh look at how methodology and hermeneutics plays a role in the reading of the same texts. In addition, he conducts a detailed investigation into the most significant points of history in order to show what was clearly accepted by both East and West in their years of ecclesiastical unity. In light of this clear evidence, the reader of The Papacy is free to decide whether contemporary Catholicism or Eastern Orthodoxy has maintained the heritage of the first millennium on the understanding of the Papal office.
In the late nineteenth century, the disintegration of the silver-mining economy that had survived since the colonial period effected fundamental economic and social changes in southern Bolivia. The changes took three forms: increased conflict between peasants and elites, expanded concentration of land into large estates, and worsened labor conditions among the peasants. This study concentrates on the four provinces in the department of Chuquisaca, using them as case studies of how and why rural peoples adapted to and resisted the changes in their lives. Resistance took many forms: strikes, rebellions, insurrections, court challenges, banditry, and flight. In the reactions to change in these provinces, the author sees certain common characteristics that transcend the region and can be discerned in other parts of Latin America. On the basis of the Chuquisaca experience, he also questions the validity of current theories of peasant resistance and rebellion. The author describes the reactions of the oligarchy based in Sucre, the capital, to the decline of silver as Bolivia's major export, showing how they attempted to regain their preeminent financial and political position by a number of strategies, notably the expansion of the hacienda system. This expansion gave rise to different problems in each of the four provinces: in Yamparaez, fierce resistance by the Indian communities to any changes; in Cinti, violent labor disputes brought on by the creation of enormous agro-industrial estates; in Azero, Indian attempts to escape debt peonage by migrating or by joining Franciscan missions; and in Tomina, widespread banditry. The final chapter compares and contrasts the various forms of rural resistance in the context of their social, economic, and cultural foundations.
Missions played a vital role in frontier development in Latin America throughout the nineteenth and twentieth centuries. They were key to the penetration of national societies into the regions and indigenous lands that the nascent republics claimed as their jurisdictions. In Expecting Pears from an Elm Tree, Erick D. Langer examines one of the most important Catholic mission systems in republican-era Latin America, the Franciscan missions among the Chiriguano Indians in southeastern Bolivia. Using that mission system as a model for understanding the relationship between indigenous peoples and missionaries in the post-independence period, Langer explains how the missions changed over their lifespan and how power shifted between indigenous leaders and the missionaries in an ongoing process of negotiation. Expecting Pears from an Elm Tree is based on twenty years of research, including visits to the sites of nearly every mission discussed and interviews with descendants of mission Indians, Indian chiefs, Franciscan friars, mestizo settlers, and teachers. Langer chronicles how, beginning in the 1840s, the establishment of missions fundamentally changed the relationship between the Chiriguano villages and national society. He looks at the Franciscan missionaries’ motives, their visions of ideal missions, and the realities they faced. He also examines mission life from the Chiriguano point of view, considering their reasons for joining missions and their resistance to conversion, as well as the interrelated issues of Indian acculturation and the development of the mission economy, particularly in light of the relatively high rates of Indian mortality and outmigration. Expanding his focus, Langer delves into the complex interplay of Indians, missionaries, frontier society, and the national government until the last remaining missions were secularized in 1949. He concludes with a comparative analysis between colonial and republican-era missions throughout Latin America.
As genetic algorithms (GAs) become increasingly popular, they are applied to difficult problems that may require considerable computations. In such cases, parallel implementations of GAs become necessary to reach high-quality solutions in reasonable times. But, even though their mechanics are simple, parallel GAs are complex non-linear algorithms that are controlled by many parameters, which are not well understood. Efficient and Accurate Parallel Genetic Algorithms is about the design of parallel GAs. It presents theoretical developments that improve our understanding of the effect of the algorithm's parameters on its search for quality and efficiency. These developments are used to formulate guidelines on how to choose the parameter values that minimize the execution time while consistently reaching solutions of high quality. Efficient and Accurate Parallel Genetic Algorithms can be read in several ways, depending on the readers' interests and their previous knowledge about these algorithms. Newcomers to the field will find the background material in each chapter useful to become acquainted with previous work, and to understand the problems that must be faced to design efficient and reliable algorithms. Potential users of parallel GAs that may have doubts about their practicality or reliability may be more confident after reading this book and understanding the algorithms better. Those who are ready to try a parallel GA on their applications may choose to skim through the background material, and use the results directly without following the derivations in detail. These readers will find that using the results can help them to choose the type of parallel GA that best suits their needs, without having to invest the time to implement and test various options. Once that is settled, even the most experienced users dread the long and frustrating experience of configuring their algorithms by trial and error. The guidelines contained herein will shorten dramatically the time spent tweaking the algorithm, although some experimentation may still be needed for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms is suitable as a secondary text for a graduate level course, and as a reference for researchers and practitioners in industry.
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