Учебные пособия по биостатистике стали очень популярной особенностью престижного журнала Wiley "Статистика в медицине" (SIM). Вводный стиль и практическая направленность делают их доступными для широкой аудитории, включая медицинских работников с ограниченными знаниями статистики. Эта книга представляет собой второй из двух томов, в которых собраны лучшие учебные пособия, опубликованные в SIM, и которые сфокусированы на статистическом моделировании сложных данных. Темы включают кластерные данные, иерархические модели, смешанные модели, генетическое моделирование и мета-анализ. Каждое учебное пособие сосредоточено на медицинской проблеме, прошло полное рецензирование и редактирование, и написано ведущими исследователями в области биостатистики. Многие статьи включают приложение о последних разработках после публикации в журнале и дополнительные ссылки. Это заинтересует статистиков, работающих в медицинских исследованиях, а также клиницистов, биологов, эпидемиологов и генетиков, ориентированных на статистику. Она также заинтересует аспирантов биостатистики.
The Tutorials in Biostatistics has become a well-established feature in the elegant Wiley journal entitled Statistics in Medicine (SIM), an indispensable tool for those involved in the field of statistics. Written in a simple and popular tone for a wide range of users -- including medical professionals who may lack statistical knowledge but hold knowledge about their own area of expertise -- this book represents the 2nd volume of two reference books that discuss the topic of statistical analysis (rather than theory or advanced methodologies) of complex datasets. Topics specifically covered include clustered datasets, hierarchical modelling, mixed modelling and more, surrounding a central medical question, which has gone through a comprehensive peer review and editing process, with enlightening research papers written by leading experts in the fields of biostatics. Notably, articulations contain an appendix section discussing more recent developments regarding each publication and ensuring that the reader is armed with malleable information that is teaching fodder for multiple research projects. Relevant to all parties interested in medical scientific research, improvised details to doctors seeking medical practice earlier than undertaking similar projects, scientists engaged in molecular biology, epidemiologist and trainees in computational and statistical medical studies, it is expected that the book will be an irreplaceable guideline on methodology and reference book.
The Wiley series 'Tutorials in Biostatistics', now in its second volume, has proved to be a resounding success in terms of providing well-structured but concise instruction in biostatistical methodology, with a great degree of hands-on practical relevance. This self-contained volume features twelve chapters that each present a distinct topic within the discipline.
Электронная Книга «Tutorials in Biostatistics, Tutorials in Biostatistics» написана автором Группа авторов в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9780470023716
Описание книги от Группа авторов
The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM). The introductory style and practical focus make them accessible to a wide audience including medical practitioners with limited statistical knowledge. This book represents the second of two volumes presenting the best tutorials published in SIM, focusing on statistical modeling of complex data. Topics include clustered data, hierarchical models, mixed models, genetic modeling, and meta-analysis. Each tutorial is focused on a medical problem, has been fully peer-reviewed and edited, and is authored by leading researchers in biostatistics. Many articles include an appendix on the latest developments since publication in the journal and additional references. This will appeal to statisticians working in medical research, as well as statistically-minded clinicians, biologists, epidemiologists and geneticists. It will also appeal to graduate students of biostatistics.
