Essentials Of Bio Statistics An Overview With The Help Of Software
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Essentials Of Bio Statistics An Overview With The Help Of Software
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Author : EDITOR IJSMI
language : en
Publisher: createspace
Release Date : 2018-08-19
Essentials Of Bio Statistics An Overview With The Help Of Software written by EDITOR IJSMI and has been published by createspace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-19 with Medical categories.
This book intends to provide an overview of biostatistics concepts and methodology through the use of statistical software. It helps clinicians, health care and biomedical professionals who need to have basic knowledge of biostatistics as they come across clinical data related to patient, drug and dosage requirement, treatment modalities in day to day life and they are required to take clinical and health care decisions based on the data. This book covers basic concepts involved in the field of Biostatistics such as descriptive statistics, inferential statistics, correlation and regression along with the advanced concepts such as factor analysis, cluster analysis, discriminant analysis and survival analysis. Each topic is explained with the help of R statistical package (open source package). One important note that the book will not discuss about the formulas and equations involved in the statistical concepts and the author assumes that the readers have basic understanding of excel as the sample dataset is used in the book are mostly excel based datasets and also have some clinical background.
Bayesian Methodology An Overview With The Help Of R Software
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Author : Editor IJSMI
language : en
Publisher: International Journal Statistics and Medical Informatics
Release Date : 2019-04-06
Bayesian Methodology An Overview With The Help Of R Software written by Editor IJSMI and has been published by International Journal Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-06 with Business & Economics categories.
Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems. Bayesian methodology is now being used in the field of clinical research, clinical trials, epidemiology, econometrics, statistical process control, marketing research and statistical mechanics. It also used in the emerging field such as data science (machine learning and deep learning) and big data analytics. The book provides an overview of Bayesian methodology, its uses in different fields with the help of R statistical open source software. Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php
Introduction To Statistical Methods
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2020-03-23
Introduction To Statistical Methods written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Mathematics categories.
Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data. Statistical knowledge is also essential for the emerging field such as Machine Learning, Deep Learning and Artificial intelligence. This book deals with the statistical methods such as Probability, Sampling, Correlation, Regression and Hypothesis Testing and non-parametric tests and advanced statistical models. Examples discussed in the book are from different areas such as clinical, financial and marketing. The book uses open source R statistical software to carry out different statistical analysis with sample datasets. This book is third in series of Statistics books by the Author. Some of the contents are adopted from the author’s previous statistical books: Essentials of Biostatistics an overview with the help of software (ISBN-97817237120740) Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php www.amazon.com/dp/B0868TWQ6M- e-Book
Essentials Of Bio Statistics An Overview With The Help Of Software
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Author : Editor IJSMI
language : en
Publisher:
Release Date : 2018-09-14
Essentials Of Bio Statistics An Overview With The Help Of Software written by Editor IJSMI and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-14 with categories.
This book intends to provide an overview of biostatistics concepts and methodology through the use of statistical software. It helps clinicians, health care and biomedical professionals who need to have basic knowledge of biostatistics as they come across clinical data related to patient, drug and dosage requirement, treatment modalities in day to day life and they are required to take clinical and health care decisions based on the data. This book covers basic concepts involved in the field of Biostatistics such as descriptive statistics, inferential statistics, correlation and regression along with the advanced concepts such as factor analysis, cluster analysis, discriminant analysis and survival analysis. Each topic is explained with the help of R statistical package (open source package). One important note that the book will not discuss about the formulas and equations involved in the statistical concepts. Author assumes that the readers have basic understanding of excel, as the sample datasets used in the book are mostly excel based datasets and also have some clinical background.
Deep Learning Models Explored With Help Of Python Programming
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2020-11-04
Deep Learning Models Explored With Help Of Python Programming written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with Young Adult Nonfiction categories.
This is the second book in the Deep Learning models series by the author. Deep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. The book starts with the Introduction part which is adopted from Author’s Deep Learning Models and its application: An overview with the help of R software book and move on to the Python’s important data processing packages such Numpy, and Pandas. Book then explores the Deep Learning models with the help of packages such as Pytorch, Tensor Flow and Keras and their applications in image processing, stock market prediction, recommender systems and natural language processing. Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php ISBN: 9798558877953 E-Books: https://www.amazon.com/dp/B08MQTM1ZP Paperbacks: https://www.amazon.com/dp/B08MSQ3R8R
Python Programming For Data Scientists
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2019-11-15
Python Programming For Data Scientists written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-15 with Computers categories.
Python programming language is an open source programming language which can be used under different operating system. Python programming redefined the programming concepts with its important features like flexibility, adaptability and reusability of codes. Python programming language has numerous libraries or modules which helps the programmer to save their time. The book starts with the overview of basic Python topics such as data structures, data types, conditions and controls, functions, lists, file handling and handling external datasets and database connections. The book also covers the topics in data science such as graphical and chart visualization, statistical modeling, text mining and machine learning algorithms. The book uses popular libraries of Python like matplotlib, sciket-learn and numpy, to perform graphical and machine learning related tasks. Users are encouraged to refer to the author’s book on “Machine Learning: An overview with the help of R software package” (ISBN- 978-1790122622) if they are familiar with R software package which is also an open source package The book requires users to download the Python version 3.0 and any of the Integrated Development Environments (IDE) such as Liclipse, Wing,PyCharm and Eric. Editor International Journal of Statistics and Medical Informatics www.ijsmi.com/book.php https://www.amazon.com/dp/1708620281(Paper Back) https://www.amazon.com/DP/B081K1SD4K (e-Book)
Essentials Of Biostatistics And Research Methodology
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Author : INDRANIL SAHA
language : en
Publisher: Academic Publishers
Release Date : 2023-04-14
Essentials Of Biostatistics And Research Methodology written by INDRANIL SAHA and has been published by Academic Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-14 with Medical categories.
THIS TEXTBOOK IS A COMPREHENSIVE USER FRIENDLY AND EASY TO READ RESOURCE ON BIOSTATISTICS AND RESEARCH METHODOLOGY. IT IS MEANT FOR UNDERGRADUATE AND POSTGRADUATE MEDICAL STUDENTS AND ALLIED BIOMEDICAL SCIENCES. HEALTH RESEARCHERS, RESEARCH SUPERVISORS AND FACULTY MEMBERS MAY FIND IT USEFUL AS A REFERENCE BOOK
Principles And Applications Of Biostatistics
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Author : Ray M. Merrill
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2021-09-03
Principles And Applications Of Biostatistics written by Ray M. Merrill and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-03 with Education categories.
Principles and Applications of Biostatistics covers the primary concepts and methods that are required for a fundamental understanding of the use and interpretation of statistics for the biological and health sciences–from data presentation to multiple regression and analysis of variance. With a focus clarity, brevity, and accuracy, this text provides understandable and focused explanation of statistical principles and applications along with practical examples (provided in R and Microsoft Excel) and problems drawn from biological health and medical settings. Key Features: • Practical questions follow each problem to encourage students to consider why the problem likely exists, help formulate hypotheses, and then statistically assess those hypotheses. • Abundant assignment problems at the end of sections and each chapter cover a variety of application areas of biostatistics. • Rationale boxes offer explanations of why certain methods are used for specific cases.
Essential Of Biostatistics An Overview With The Help Of Software 2nd In Series Pocket Guide
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Author : Editor Ijsmi
language : en
Publisher: Essential of Biostatistics: An
Release Date : 2018-10-26
Essential Of Biostatistics An Overview With The Help Of Software 2nd In Series Pocket Guide written by Editor Ijsmi and has been published by Essential of Biostatistics: An this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-26 with Education categories.
This book is the second in series of Essentials of Biostatistics wherein the first book provided the overview of Biostatistics concepts and methods with the help of R software. The current book will focus on the use of SAS software as most of the users in the biomedical field uses SAS because of its recognition especially the United States government agencies like Food and Drug Administration (FDA).The important note is that the book will not repeat the biostatistics concepts and methodology explained in the first book and it will concentrate mainly on the SAS software part and it is strongly advisable to use both books get a complete idea of biostatistical concepts and methodology especially for the beginners. EditorInternational Journal of Statistics and Medical Informatics (IJSMI)
Biostatistics For Clinical And Public Health Research
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Author : Melody S. Goodman
language : en
Publisher: Taylor & Francis
Release Date : 2025-08-19
Biostatistics For Clinical And Public Health Research written by Melody S. Goodman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-19 with Medical categories.
The new edition of Biostatistics for Clinical and Public Health Research is an introductory workbook to provide not only a concise overview of key statistical concepts but also step-by-step guidance on how to apply these through a range of software packages, including R, SAS, and Stata. Providing a comprehensive survey of essential topics – including probability, diagnostic testing, probability distributions, estimation, hypothesis testing, correlation, regression, and survival analysis – each chapter features a detailed summary of the topic at hand, followed by examples to show readers how to conduct analysis and interpret the results. Also including exercises and solutions, case studies, take-away points, and data sets (Excel, SAS, and Stata formats), the new edition now includes a chapter on data literacy and data ethics, as well as examples drawn from the COVID-19 pandemic. Ideally suited to accompany either a course or as support for independent study, this book will be an invaluable tool for both students of biostatistics and clinical or public health practitioners.