Essential Statistical Methods for Medical Statistics PDF Download

Author: J. Philip Miller
Publisher: Elsevier
ISBN: 0444537384
Category : Mathematics
Languages : en
Pages : 363

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Book Description
Essential Statistical Methods for Medical Statistics presents only key contributions which have been selected from the volume in the Handbook of Statistics: Medical Statistics, Volume 27 (2009). While the use of statistics in these fields has a long and rich history, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new methods and innovative adaptations of standard methods. This volume is appropriately focused for individuals working in these fields. Contributors are internationally renowned experts in their respective areas. - Contributors are internationally renowned experts in their respective areas - Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research - Methods for assessing Biomarkers, analysis of competing risks - Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs - Structural equations modelling and longitudinal data analysis

Author: Jamalludin Bin Ab Rahman
Publisher: Springer
ISBN: 9812879250
Category : Medical
Languages : en
Pages : 114

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Book Description
This book serves as a practical guide to methods and statistics in medical research. It includes step-by-step instructions on using SPSS software for statistical analysis, as well as relevant examples to help those readers who are new to research in health and medical fields. Simple texts and diagrams are provided to help explain the concepts covered, and print screens for the statistical steps and the SPSS outputs are provided, together with interpretations and examples of how to report on findings. Brief Guidelines for Methods and Statistics in Medical Research offers a valuable quick reference guide for healthcare students and practitioners conducting research in health related fields, written in an accessible style.

Author: Abhaya Indrayan
Publisher: CRC Press
ISBN: 0429786778
Category : Business & Economics
Languages : en
Pages : 390

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Book Description
This book discusses the why and how of each step of data-based medical research that can provide basic information to emerging researchers and medical graduate students who write theses or publish articles. The chapters are arranged in the sequence of steps for data-based research. The research steps are comprehensively covered from the selection of the topic to the final publication. Reporting methods such as CONSORT, STARD, and SAMPL guidelines are also covered. Each chapter has separately earmarked examples from the contemporary literature that illustrate the different research methods. Key Features Discusses all the steps of data-based medical research Examines the topics in depth by way of examples from contemporary literature Features notable information in boxes for special attention .

Author: Martin Bland
Publisher: Oxford University Press
ISBN: 0192518399
Category : Medical
Languages : en
Pages : 737

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Book Description
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature. Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice. Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills. This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis.

Author: Douglas G. Altman
Publisher: CRC Press
ISBN: 1000228819
Category : Mathematics
Languages : en
Pages : 624

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Book Description
Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background. The author draws on twenty years of experience as a consulting medical statistician to provide clear explanations to key statistical concepts, with a firm emphasis on practical aspects of designing and analyzing medical research. Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.

Author: Robert H. Riffenburgh
Publisher: Academic Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 680

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Book Description
Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context. Easy-to-follow format incorporates medical examples, step-by-step methods, and check yourself exercises Two-part design features course material and a professional reference section Chapter summaries provide a review of formulas, method algorithms, and check lists Companion site links to statistical databases that can be downloaded and used to perform the exercises from the book and practice statistical methods New in this Edition: New chapters on: multifactor tests on means of continuous data, equivalence testing, and advanced methods New topics include: trial randomization, treatment ethics in medical research, imputation of missing data, and making evidence-based medical decisions Updated database coverage and additional exercises Expanded coverage of numbers needed to treat and to benefit, and regression analysis including stepwise regression and Cox regression Thorough discussion on required sample size

Author: Michael J. Campbell
Publisher: Wiley
ISBN: 9780470025192
Category : Medical
Languages : en
Pages : 344

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Book Description
Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET "Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin's book." BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH "Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER

Author: Janet Peacock
Publisher: Oxford University Press
ISBN: 0199551286
Category : Medical
Languages : en
Pages : 540

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Book Description
The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Author: Alvan R. Feinstein
Publisher: CRC Press
ISBN: 1420035681
Category : Mathematics
Languages : en
Pages : 713

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Book Description
The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However,

Author: Vaidya Vasant Patil
Publisher: Atreya Ayurveda
ISBN:
Category : Medical
Languages : en
Pages : 526

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Book Description
In the era of evidence-based medicine, the need to validate and scientifically explore Ayurvedic principles and therapies has become more pertinent than ever. The field of Ayurveda research is evolving, and there is a growing demand for scholars who can integrate traditional wisdom with modern research methodologies. This book, " Research Methodology and Medical Statistics," has been written specifically for MD and PhD scholars of Ayurveda, with the aim of guiding them in conducting scientifically robust research that adheres to contemporary standards while respecting the uniqueness of the Ayurvedic system. The book is divided into two major sections: Research Methodology and Medical Statistics, each specifically designed to meet the needs of MD and PhD scholars in Ayurveda. The first section on Research Methodology begins by laying the foundation for scientific inquiry, explaining the principles of formulating research questions, developing hypotheses, and selecting appropriate study designs. Given the unique nature of Ayurvedic treatments, this section covers various research designs, including clinical trials, observational studies, qualitative research, and N-of-1 studies, which can be particularly suitable for personalized Ayurvedic interventions. There is also an in-depth discussion on how to adapt conventional research designs to Ayurvedic contexts, such as accommodating individualized treatment protocols and dynamic diagnostic criteria. Special attention is given to challenges such as the standardization of herbal formulations, validation of Ayurvedic diagnostic tools, and integrating Panchakarma (detoxification therapies) into clinical research. The second section, focusing on Medical Statistics, serves as a valuable resource for understanding the statistical tools and techniques needed for analyzing research data. Statistical analysis is an integral part of research, providing a framework for making sense of collected data and drawing meaningful conclusions. This section introduces fundamental statistical concepts in a manner that is accessible to those who may not have a strong background in mathematics, with examples specifically tailored to Ayurveda. Topics covered include descriptive statistics, inferential statistics, hypothesis testing, correlation, regression, and non-parametric tests.