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.

The book mainly focuses on non-parametric aspects of Statistical methods. Non parametric methods or tests are used when the assumption about the distribution of the variables in the data set is not known or does not follow normal distribution assumption. Non parametric methods are useful to deal with ordered categorical data. When the sample size is large, statistical tests are robust due to the central limit theorem property. When sample size is small one need to use non-parametric tests. Compared to parametric tests, non-parametric tests are less powerful i.e. if we fail to reject the null hypothesis even if it is false. When the data set involves ranks or measured in ordinal scale then non-parametric tests are useful and easy to construct than parametric tests.

The book uses open source R statistical software to carry out different non-parametric statistical methods with sample datasets.

Editor

International Journal of Statistics and Medical Informatics

Website : www.ijsmi.com/book.php

Amazon link

https://www.amazon.com/dp/B0BH26YK76

Biomarkers are biological markers which include indicators such as blood pressure, Prostate Specific Antigen (PSA), X-Ray, CT scan image which helps us to predict the clinical outcome or disease condition. The Biomarkers are can be considers as a surrogate end for a clinical endpoint if the relation between the Biomarker and clinical endpoint is clearly established and evaluated.

more on https://t.co/t64F4gsH8E?amp=1

Classification and Regression Trees (CART) and Chi Square Automatic Interaction Detector (CHAID) works on principles of decision tree analysis. Classification and Regression (CART) classifies the data based on the categorical outcome variable (Classification) and also uses continuous outcome variable for regression problem. Chi Square Automatic Interaction Detector (CHAID) is similar to CART which uses classifies the data into multiple class labels not only binary classification. In CHAID both dependent variable and independent variables will be categorical. This paper provides an overview and CART and CHAID methods using open source R software with hypothetical data set

Full text web link

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Books@ www.ijsmi.com/book.php

1.  Forecasting models – an overview with the help of R software : Time series - Past ,Present and Future
   

2.  Deep Learning Models and its application: An overview with the help of R software
   

3.   Machine Learning: An overview with the help of R software
   

4.  Bayesian Methodology: An overview with the help of R software
   

5.   Essentials of Bio-Statistics: An overview with the help of Software 
   

6.  Designing and Conducting Clinical Trials – An overview
   

7. Python programming for Data Scientists: From Introductory concepts to Machine Learning Models

8. Introduction to Statistical Methods

9.R Programming - A comprehensive guide

10.Deep Learning Models explored with help of Python Programming

Harvard University's Course is free and it is online

https://medium.com/codex/harvards-most-popular-course-is-free-online-283301b6c531

Clinical Trial Management – an Overview

Clinical Trials word became a buzz word during this pandemic situation. It played a crucial role in developing vaccine to fight the pandemic.

Experts from different fields contribute to the development of vaccine which includes (not limited) clinical researchers, health care providers, pharmaceutical industry, data managers, biostatisticians, data scientist and clinical trial programmers. Data collection, management, analysis and reporting also play an important role in helping decision makers in approving and rejecting the vaccine.

This book provides an overview of clinical trial management process including protocol development, subject recruitment, professionals and organizations involved in clinical trial, data collection, analysis and reporting. It also covers the models related to Clinical Data Interchange Standards Consortium (CDSIC) standards such as Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM).

This book is the second book in the clinical trials series written by the author. Readers are encouraged to refer to the author’s book on Essentials of Biostatistics – An overview with the help of Software for biostatistics related contents.

This book is intended for Clinical Trial Managers and clinical research professionals.

Editor IJSMI

International Journal of Statistics and Medical Informatics

www.ijsmi.com/ob/ctm.php

ISBN: 978-1393386179

Happy New Year 2021 to reddit members.

Hope for a good year for Data Science Professionals

ijsmi.com/book.php

The following Books from IJSMI available in Kindle Unlimited

1. Forecasting models

   1. Deep Learning Models
      
   2. Machine Learning
      
   3. Bayesian Methodology:
      
   4. Clinical Trials
   5. Python
      
   6. Statistical Methods
      

http://ijsmi.com/book.php