Biostatistics Explored Through R Software: An Overview Biostatistics Explored Through R Software: An Overview

Biostatistics Explored Through R Software: An Overview

    • ¥650
    • ¥650

発行者による作品情報

The term Statistics and Data is now familiar to most of us even though we are related to different fields such as Clinical, Biology, Business & Management, Engineering and Physical Sciences.  Statistical methods are being applied in different fields including the emerging fields such as Machine Learning, Natural Language Processing and Artificial Intelligence because of the fact that each field deals with data in one form or the other.

Statistical methods help decision makers to arrive at evidence based decisions by collecting, analyzing and interpreting the data. Biostatistics is a branch of statistics which is applied in the biomedical domain and it includes clinical and biological fields. 

Biostatistical methods include descriptive, inferential and Statistical modeling tools. Descriptive statistical tools help us to draw information and summary about the data in terms of measures of central tendency, measures of dispersion, measure of skewness and underlying probability distributions. Inferential Statistical tools help us to estimate, test the hypothesis and draw inferences about the parameters of the data. Statistical modeling tools help us to study and estimate the relationship between the variables.   

The book starts with the introduction of concepts in biostatistics and moves on to explore descriptive and inferential statistical tools using R Open Source Software. It then explores statistical modeling tools such as regression analysis and survival analysis.

The book also covers the role of Biostatistics in the clinical trials process. Clinical trials are scientific experiments which are conducted in different phases. It involves testing of drugs and clinical procedures for treating different diseases and conditions among a sample of participants before rolling out in the market. Biostatistics tools help clinical trial researchers in deciding about the study design, sample size and analytical methods.

The data set used in the book can be downloaded from Author's Website.

Vinaitheerthan Renganathan

ジャンル
職業/技術
発売日
2021年
9月10日
言語
EN
英語
ページ数
58
ページ
発行者
Vinaitheerthan Renganathan
販売元
Draft2Digital, LLC
サイズ
1.2
MB
Applications of Regression Models in Epidemiology Applications of Regression Models in Epidemiology
2017年
Concise Biostatistical Principles & Concepts Concise Biostatistical Principles & Concepts
2014年
Statistical Methods for Survival Data Analysis Statistical Methods for Survival Data Analysis
2013年
Evidence Synthesis for Decision Making in Healthcare Evidence Synthesis for Decision Making in Healthcare
2012年
Complex Surveys Complex Surveys
2011年
Case Studies in Bayesian Statistical Modelling and Analysis Case Studies in Bayesian Statistical Modelling and Analysis
2012年
Overview Of Bayesian Approach To Statistical Methods Overview Of Bayesian Approach To Statistical Methods
2022年
Machine Learning Algorithms for Data Scientists: An Overview Machine Learning Algorithms for Data Scientists: An Overview
2021年
Stock Price Analysis Through Statistical And Data Science Tools: an Overview Stock Price Analysis Through Statistical And Data Science Tools: an Overview
2021年
Business Intelligence : an Overview Business Intelligence : an Overview
2021年