Statistical Modeling for Biomedical Researchers: A Simple Introduction to the Analysis of Complex Da

Author by : William D. Dupont
Languange Used : en
Release Date : 2009-02-12
Publisher by : Cambridge University Press

ISBN :

Description : For biomedical researchers, the new edition of this standard text guides readers in the selection and use of advanced statistical methods and the presentation of results to clinical colleagues. It assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is used to perform the analyses, in this edition employing the intuitive version 10. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situations. An appendix will help the reader select the most appropriate statistical methods for their data. The text makes extensive use of real data sets available online through Vanderbilt University....

Author by : William D. Dupont
Languange Used : en
Release Date : 2009-02-12
Publisher by : Cambridge University Press

ISBN :

Description : A second edition of the easy-to-use standard text guiding biomedical researchers in the use of advanced statistical methods....

Author by : Claudia Witt
Languange Used : en
Release Date : 2011-11-09
Publisher by : Elsevier Health Sciences

ISBN :

Description : You want to conduct a CAM study but don’t know how? Problem solved – Clinical Research demonstrates all aspects of state-of-the-art study design in an understandable and practical way. You will get a comprehensive overview and instruction – step by step. The code in the book will give you 12 months of free online access to the content and illustrations of the book. This practical training book: systematically introduces the key aspects of study design and basic statistics. helps you to develop, plan and execute your research project. combines established theoretical approaches with practical skills applicable to your own clinical study. is a step-by-step tutorial for a complete clinical study, which is illustrated in three case studies. includes additional training exercises, featuring different study conditions and environments, that will help you to practice and test your knowledge. Clinical Research in Complementary and Integrative Medicine – the best way to understand clinical research and to plan and perform your own study! Free online access: After activating the code inside this book you get free online access to the content and the illustrations for 12 months....

Author by : Joseph D. Bronzino
Languange Used : en
Release Date : 2006-04-19
Publisher by : CRC Press

ISBN :

Description : Over the last century, medicine has come out of the "black bag" and emerged as one of the most dynamic and advanced fields of development in science and technology. Today, biomedical engineering plays a critical role in patient diagnosis, care, and rehabilitation. More than ever, biomedical engineers face the challenge of making sure that medical d...

Author by : Laurens Holmes, Jr.; Franklin Opara
Languange Used : en
Release Date : 2013-09-11
Publisher by : AuthorHouse

ISBN :

Description : This textbook describes the basics of research in medical, clinical, and biomedical settings as well as the concepts and application of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors of design/sampling cannot be corrected. The authors of this textbook have presented a complex field in a very simplified and reader-friendly manner with the intent that such presentation will facilitate the understanding of design process and epidemiologic thinking in clinical and biomedical research. Covers these relevant topics in epidemiology: Case-Cohort Design Prospective Case-Control Quantitative Evidence Synthesis (QES) Instant Cohort Design & Case-Crossover Design Effect Modification & Interaction Epidemiologic Tree - Molecular Epidemiology & Health Disparities Epidemiologic Challenge – “Big Data”, mHealth, Social Media 3 “Ts” - Team Science, Transdisciplinary Research, Translational Research Bias, Random error, Confounding Systems Science & Evidence Discovery Research is presented as an exercise around measurement, with measurement error inevitable in its conduct—hence the inherent uncertainties of all findings in clinical and biomedical research. Concise Epidemiologic Principles and Concepts covers research conceptualization, namely research objectives, questions, hypothesis, design, implementation, data collection, analysis, results, and interpretation. While the primary focus of epidemiology is to assess the relationship between exposure (risk or predisposing factor) and outcome (disease or health-related event), causal association is presented in a simplified manner, including the role of quantitative evidence synthesis (meta-analysis) in causal inference. Epidemiology has evolved over the past three decades resulting in several fields being developed. This text presents in brief the perspectives and future of epidemiology in the era of the molecular basis of medicine. With molecular epidemiology, we are better equipped with tools to identify molecular biologic indicators of risk as well as biologic alterations in the early stages of disease....

Author by : American Statistical Association
Languange Used : en
Release Date : 2003
Publisher by :

ISBN :

Description : ...

Author by : Lawrence C. Hamilton
Languange Used : en
Release Date : 2004
Publisher by : Duxbury Resource Center

ISBN :

Description : Stata is a powerful data analysis software. This handbook was designed to bridge the gap between textbooks and Stata's own documentation. In this intermediary role, STATISTICS WITH STATA uses easy to follow tutorials to demonstrate how to use Stata to accomplish some of the most common statistical tasks. While Stata's user documentation is over 4,000 pages, this tidy manual is just 400 pages, and introduces students and practitioners to both basic and advanced features of Stata....