Biostatistician The Comprehensive Guide

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Biostatistician The Comprehensive Guide
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Author : VIRUTI SHIVAN
language : en
Publisher: Viruti Satyan Shivan
Release Date :
Biostatistician The Comprehensive Guide written by VIRUTI SHIVAN and has been published by Viruti Satyan Shivan this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medical categories.
"Biostatistician- The Comprehensive Guide" is an essential resource for anyone looking to delve into the intricate world of biostatistics, offering a clear, engaging, and comprehensive exploration of statistical methods in the context of biological research. This book stands out by weaving together theory and practice, enabling readers to grasp complex concepts while providing the tools needed to apply these techniques in real-world research settings. Designed for both beginners and seasoned professionals, it bridges the gap between statistical theory and its applications in biomedicine, making it a must-buy for anyone aiming to harness the power of data in life sciences. Without relying on images or illustrations, this guide focuses on the richness of written examples and the depth of explanations to ensure an accessible yet profoundly educational experience. It emphasizes practical skills, critical thinking, and the ethical considerations of biostatistical work, preparing readers not only to perform analyses but also to contribute to meaningful advancements in medical and biological research. Whether you're embarking on a career in biostatistics, seeking to improve your data analysis skills in a biological context, or aiming to make significant contributions to medical research, this book is your gateway to becoming a pivotal part of the future of life sciences.
Research Methodology And Biostatistics E Book
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Author : Suresh Sharma
language : en
Publisher: Elsevier Health Sciences
Release Date : 2016-12-14
Research Methodology And Biostatistics E Book written by Suresh Sharma and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with Medical categories.
Essentials of Research Methodology and Biostatistics—A Comprehensive Guide for Health Care Professionals is a precisely written textbook for undergraduate and postgraduate medical, dental, nursing, physiotherapy, clinical psychology and other allied health care profession students. The book is an excellent attempt towards introducing the students and faculty members to the various research methodologies adopted in the field of health sciences to record health-related data. Salient Features Easy to follow: An applied, user-friendly textbook with self-explanatory simple language and presentation for the students. An example-oriented book: Plenty of examples to equip the students to prepare for exams as well as independently conduct their research activities. Illustrative presentation: Diagrammatic and tabular presentation of content to facilitate quick review and recall of important concepts. Systematic and logical organization: Content organized in systematic and logical manner to facilitate better understanding. Qualitative and quantitative research methods, analysis: Adequate coverage of quantitative as well as qualitative research process, methodology and analysis. Authentic content: Content reviewed, authenticated by a panel of renowned faculty members/experts. Unique content: Several unique topics such as sample size calculation, uses of different parametric and nonparametric statistical tests, methods, qualitative research process, and analysis included, with practical examples from Indian scenario, which are rarely found in other research methodology books. Enormous knowledge in a nutshell: In-depth coverage of all aspects of research methodology and biostatistics in a concise manner. Review questions: About 150 end-of-chapter MCQs, a useful resource for the readers to review their preparation for the university exams and also to prepare for qualifying entrance exams for postgraduate and doctoral courses.
Biostatistics With R A Guide For Medical Doctors
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Author : Marco Moscarelli
language : en
Publisher: Springer Nature
Release Date : 2023-08-14
Biostatistics With R A Guide For Medical Doctors written by Marco Moscarelli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-14 with Medical categories.
This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). 'R' is perhaps the more used statistical software in the medical field. It is structured as a 'scientific journey' and comes with a sham yet realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R and biostatistics. Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to gain solid knowledge of R.
Biostatistician The Comprehensive Guide
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Author : Viruti Shivan
language : en
Publisher: Viruti Shivan
Release Date : 2024-03-22
Biostatistician The Comprehensive Guide written by Viruti Shivan and has been published by Viruti Shivan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-22 with Education categories.
Mastering Data in Life Sciences for Breakthrough Innovations "Biostatistician- The Comprehensive Guide" is an essential resource for anyone looking to delve into the intricate world of biostatistics, offering a clear, engaging, and comprehensive exploration of statistical methods in the context of biological research. This book stands out by weaving together theory and practice, enabling readers to grasp complex concepts while providing the tools needed to apply these techniques in real-world research settings. Designed for both beginners and seasoned professionals, it bridges the gap between statistical theory and its applications in biomedicine, making it a must-buy for anyone aiming to harness the power of data in life sciences. Without relying on images or illustrations, this guide focuses on the richness of written examples and the depth of explanations to ensure an accessible yet profoundly educational experience. It emphasizes practical skills, critical thinking, and the ethical considerations of biostatistical work, preparing readers not only to perform analyses but also to contribute to meaningful advancements in medical and biological research. Whether you're embarking on a career in biostatistics, seeking to improve your data analysis skills in a biological context, or aiming to make significant contributions to medical research, this book is your gateway to becoming a pivotal part of the future of life sciences.
Biostatistics Manual For Health Research
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Author : Nafis Faizi
language : en
Publisher: Elsevier
Release Date : 2023-04-19
Biostatistics Manual For Health Research written by Nafis Faizi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with Computers categories.
**Selected for Doody's Core Titles® 2024 in Biostatistics**Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher's point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research. - Applies a practical and solution centric approach to support readers to successfully manage their research data - Explains step-by-step the different biostatistical tests, including screenshots from the most common softwares used currently for easy consult - Summarizes the content of each chapter in concise text boxes to help readers find the right information when needed
Text Book Of Biostatistics And Research Methodology
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Author : Dr. Manish Baise, Dr. Narendra K. Nayak, Prof (Dr.) Meka Sreedhar Rao, Dr. Neelu Jhala, Dr. Nisha Tanwar
language : en
Publisher: Shashwat Publication
Release Date : 2025-01-30
Text Book Of Biostatistics And Research Methodology written by Dr. Manish Baise, Dr. Narendra K. Nayak, Prof (Dr.) Meka Sreedhar Rao, Dr. Neelu Jhala, Dr. Nisha Tanwar and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-30 with Medical categories.
The Text Book of Biostatistics and Research Methodology offers a comprehensive guide to the essential concepts and statistical techniques used in pharmaceutical research and biostatistics. Designed to serve as both a textbook and a reference, it covers a wide range of topics that are crucial for students and professionals in the field. The book begins with an introduction to measures of central tendency, including mean, median, and mode, providing practical pharmaceutical examples to help readers understand their applications. Next, it delves into measures of dispersion such as range, standard deviation, and their pharmaceutical implications. The section on correlation explores Karl Pearson’s coefficient and multiple correlation with a focus on real-world pharmaceutical problems. In the regression section, the book teaches methods like curve fitting, regression models, and the standard error of regression, applying these concepts to pharmaceutical scenarios. The book also provides an in-depth explanation of probability, covering binomial, normal, and Poisson distributions, along with various probability-related topics, including sample size, null and alternative hypotheses, and errors in statistical analysis. The parametric tests section includes t-tests, ANOVA, and least significance difference, while non-parametric tests such as Wilcoxon Rank Sum, Mann-Whitney U, and Kruskal-Wallis tests are also thoroughly covered. Additionally, the book explores research methodology, including the need for research, experimental design techniques, and the importance of plagiarism prevention. The section on graphs explains various types such as histograms, pie charts, and response surface plots, with practical examples for visual data representation. The methodology design chapter provides critical information on sample size determination, report writing, and designing clinical trials, including details on observational and experimental studies.
Text Book Of Biostatistics And Research Methodology
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Author : Dr. Ankur Agrawal , Rajiv Yadav , Miss. Nancy Mathur , Dr. Srikanth Kumar Karumanchi , Dr. Prashant Chandra
language : en
Publisher: Shashwat Publication
Release Date : 2024-12-07
Text Book Of Biostatistics And Research Methodology written by Dr. Ankur Agrawal , Rajiv Yadav , Miss. Nancy Mathur , Dr. Srikanth Kumar Karumanchi , Dr. Prashant Chandra and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-07 with Fiction categories.
The Text Book of Biostatistics and Research Methodology provides a comprehensive guide to the essential statistical tools and research techniques used in pharmaceuticals and health sciences. Beginning with foundational concepts like measures of central tendency and dispersion, the book simplifies statistical principles with practical pharmaceutical examples. Detailed discussions on correlation and regression offer valuable insights into the relationships between variables, making it ideal for students and professionals alike. Probability theory is explored with an emphasis on pharmaceutical applications, covering distributions, hypothesis testing, sampling methods, and error types. Parametric tests, including t-tests and ANOVA, and non-parametric tests like the Wilcoxon Rank Sum and Mann-Whitney U tests, are explained thoroughly to address a wide range of research needs. The book also covers research fundamentals, emphasizing the necessity of experimental design, plagiarism avoidance, and effective data presentation through graphs like histograms and pie charts. It further explores research methodologies, sample size determination, clinical trial phases, and techniques like blocking and confounding for experimental control. In the advanced sections, readers find in-depth guidance on regression modeling and hypothesis testing in both industrial and clinical settings. Practical applications using software like Excel, SPSS, and R are covered, supporting modern analysis needs in clinical trials and industrial applications. Finally, experimental design is extensively discussed, introducing factorial designs, response surface methodology, and optimization techniques, equipping researchers with essential tools for precise and impactful study designs.
Text Book Of Biostatistics And Research Methodology
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Author : Prof. (Dr.) Gajendra Kumar Saraswat , Mr. Sandeep Kumar Jhamb , Dr. Vijay Kumar , Dr. Nirmala Devi , Dr. Saheli Pradhan
language : en
Publisher: Shashwat Publication
Release Date : 2025-03-18
Text Book Of Biostatistics And Research Methodology written by Prof. (Dr.) Gajendra Kumar Saraswat , Mr. Sandeep Kumar Jhamb , Dr. Vijay Kumar , Dr. Nirmala Devi , Dr. Saheli Pradhan and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Fiction categories.
The Textbook of Biostatistics and Research Methodology is a comprehensive guide designed for students, researchers, and professionals in pharmaceutical and biomedical sciences. It provides fundamental concepts and practical applications of statistical methods used in research and industry. The book begins with measures of central tendency, covering mean, median, and mode with pharmaceutical examples, helping readers understand data distribution in research. It then explores measures of dispersion, including range and standard deviation, which are crucial for analyzing variability in drug formulations and clinical studies. A dedicated section on correlation explains Karl Pearson’s coefficient and multiple correlation techniques, providing real-world pharmaceutical applications. The regression analysis chapter covers curve fitting, least squares method, and multiple regression, aiding in predictive modeling of drug responses. The book delves into probability distributions, including binomial, normal, and Poisson distributions, along with sampling techniques, hypothesis testing, and standard error concepts used in pharmaceutical research. Parametric tests, such as t-tests, ANOVA, and least significance difference methods, are thoroughly explained for comparing sample groups in clinical trials. For non-parametric analysis, tests like the Wilcoxon Rank Sum Test, Mann-Whitney U Test, Kruskal-Wallis Test, and Friedman Test are covered, offering alternatives for non-normally distributed data. The introduction to research methodology discusses the importance of experimental design, plagiarism, and ethical research practices. The book also covers graphical data representation through histograms, pie charts, cubic graphs, response surface plots, and contour plots, enhancing statistical analysis visualization. The methodology design chapter includes sample size determination, data presentation, and protocol development for cohort and clinical studies.
Biostatistics With Python
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Author : Darko Medin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-11-29
Biostatistics With Python written by Darko Medin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-29 with Computers categories.
Learn how to utilize biostatistics with Python for excelling in research and biomedical professions with practical exemplar projects Key Features Bridge the gap between biostatistics and life sciences with Python Work with practical exercises for real-world data analysis in biology and medicine Access a portfolio of exemplar projects in the domains of biomedicine, biotechnology, and biology Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis book leverages the author’s decade-long experience in biostatistics and data science to simplify the practical use of biostatistics with Python. The chapters show you how to clean and describe your data effectively, setting a solid foundation for accurate analysis and proficiency in biostatistical inference to help you draw meaningful conclusions from your data through hypothesis testing and effect size analysis. The book walks you through predictive modeling to harness the power of Python to create robust predictive analytics that can drive your research and professional projects forward. You'll explore clinical biostatistics, learn how to design studies, conduct survival analysis, and synthesize evidence from multiple studies with meta-analysis – skills that are crucial for making informed decisions based on comprehensive data reviews. The concluding chapters will enhance your ability to analyze biological variables, enabling you to perform detailed and accurate data analysis for biological research. This book's unique blend of biostatistics and Python helps you find practical solutions that make complex concepts easy to grasp and apply. By the end of this biostatistics book, you’ll have moved from theoretical knowledge to practical experience, allowing you to perform biostatistical analysis confidently and accurately.What you will learn Get to grips with the basics of biostatistics and Python programming Clean and describe data using Python Familiarize yourself with hypothesis testing and effect size analysis Explore predictive modeling in biostatistics Understand clinical study design and survival analysis Gain a clear understanding of the meta-analysis of clinical research data Analyze biological variables with Python Discover practical data analysis for biological research Who this book is for This book is for life science professionals, researchers, biomedical professionals, and aspiring biostatisticians who want to integrate biostatistics into their work or research. A basic understanding of life sciences, biology, or medicine is recommended to fully benefit from this book.
Essentials Of Biostatistics For Medical Students
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Author : Dr. A.B.Ram Jyothis
language : en
Publisher: Notion Press
Release Date : 2024-05-06
Essentials Of Biostatistics For Medical Students written by Dr. A.B.Ram Jyothis and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Education categories.
Dive into the world of biostatistics with "Essentials of Biostatistics for Medical Students." Designed to demystify this essential field, this book presents complex statistical concepts in a clear and concise manner, making them accessible to students with varying levels of mathematical background. Through practical applications and real-world examples grounded in the clinical context of medical practice, readers will gain a solid understanding of biostatistics and its relevance to their future careers in medicine. With a focus on equipping students with the knowledge and skills necessary for statistical analysis in research projects, this book provides a comprehensive guide to designing studies, analysing data, and drawing valid conclusions. The inclusion of a manual for statistical analysis using SPSS software and a guide to sample size estimation using G-power ensures that students have practical tools at their disposal for conducting research efficiently and accurately. Whether embarking on dissertation works or short-term research projects, students will find invaluable resources to navigate the challenges of statistical analysis and make meaningful contributions to the field of medical research.