Introduction To Biostatistics And Research Methods Pdf


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ESSENTIALS OF BIOSTATISTICS AND RESEARCH METHODOLOGY


ESSENTIALS OF BIOSTATISTICS AND RESEARCH METHODOLOGY

Author: INDRANIL SAHA

language: en

Publisher: Academic Publishers

Release Date: 2023-04-14


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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

Fundamentals of Biostatistics for Public Health Students


Fundamentals of Biostatistics for Public Health Students

Author: S. Mantravadi, MS HCM, MPH, CPH, CHES

language: en

Publisher: Author

Release Date:


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An all-inclusive look at Biostatistics in the field of Public Health, with enriching examples! This is a must have study guide for Biostatistics, from a student's perspective. This book includes pertinent and practical applications of statistical analysis with easy to grasp tables and graphs that visually captures the attention of the reader. This reader friendly book comes to your rescue, and wards off the unpleasant task of fishing in the unknown terrain of lost books, scratch pages, and sticky notes.

Introduction to Business Statistics through R software


Introduction to Business Statistics through R software

Author: Editor IJSMI

language: en

Publisher: International Journal of Statistics and Medical Informatics

Release Date: 2023-07-02


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Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. 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. This book deals with the statistical methods which are useful in Business and Management decision making. The methods include Probability, Sampling, Correlation, Regression and Hypothesis Testing, Time Series, Forecasting and Non-Parametric tests and advanced statistical models. 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 book introduction to statistical methods and non-parametric methods.