The Graybill/Iyer/Burdick author team have written a conceptual introduction to statistics that immediately introduces readers to statistical inference. KEY TOPICS: This algebra based book is not intended to be a compendium of every procedure in statistics, rather the focus is on a few basic ideas that form the foundation of statistical inference. Inference concepts are first introduced using a population proportion, a simple concept that appears frequently in familiar applications, and are then extended to other parameters. Thinking statistically: self test problems with worked out solutions, Exploration Activities, and the integration of Minitab commands and output are special features of the book.
This book highlights the role of point-of-care (POC) testing in the effective management of the coronavirus disease 2019 (COVID-19) pandemic with an in-depth focus on the recent developments in the field, existing gaps, and future directions. POC tests are of utmost importance as they facilitate rapid and decentralized testing without much instrumentation and technical expertise. The book describes the current status of POC COVID-19 testing in three broad categories: Molecular, antigen, and antibody. The advantages, limitations, and adaption of each of the POC tests are reviewed while highlighting their clinical impact in real-world settings. The role of POC testing for COVID-19 screening, diagnosis, and surveillance has been emphasized. The subtle difference between POC and at-home tests is discussed while elaborating on the necessity for the latter for enhancing clinical impacts. A spotlight on the influence of variants on the performance of POC-COVID-19 tests is provided. The consideration of clinical implications of POC testing in hospitals with regards to improving therapeutic options, patient flow, enhancing the infection control measures, and early recruitment of patients into clinical trials is explained. Finally, the future perspectives that will aid the research community in the development of POC tests for COVID-19 or any infectious disease, in general, are presented. Overall, we believe this book can benefit the research community as it (i) presents a comprehensive understanding of current COVID-19 POC testing methods (ii) highlights features required to transform the current tests developed during the past year as POC diagnostics, and (iii) provides insights to address the unmet challenges in the field.
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