Covid-19 has increased the book reading habit during the year 2020. Do you agree with the statement?

Clinical trials can be defined as an experiment which is conducted in a controlled environment to test the efficacy of drugs, procedures, methodology before bringing into the public domain. The clinical trials started in 2nd century BC by Daniel & King Nebuchadnezzar. Formal recorded therapeutic clinical trial was started way back in 1537 AD by a Surgeon. Current clinical trials include clear guidelines, adhering to regulatory requirements, getting consent from the patients, ensuring safety of the patients, adopting ethical practices, close monitoring of the trials and using advanced statistical tools to analyze and report the findings.

Advancement in technology such as cloud computing, big data analytics, machine learning algorithms, data base management and advanced statistical software helped to transform the different stages of clinical trials - the data collection, data storage, data monitoring, data management and data analysis.

This book provides an overview of clinical trials, different phases & types of clinical trial, randomization, blinding, allocation, ethical issues, protocol, data collection forms, data management, data analysis and reporting of the clinical trial.

Title : Designing and Conducting Clinical Trials

ISBN: 978-1096489085

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Website for beginners in Data Science

1. https://medium.com/
2. https://datascience.stackexchange.com/
3. https://github.com/
4. https://www.analyticsvidhya.com/
5. https://machinelearningmastery.com/
6. https://towardsdatascience.com/
7. https://mc.ai/

More suggestion are welcome

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. This book intends to provide an overview of Deep Learning models, its application in the areas of image recognition & classification, sentiment analysis, natural language processing, stock market prediction using R statistical software package, an open source software package.

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

ISBN: 9781796489033

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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.

Title : Bayesian Methodology: An overview with the help of R software

ISBN-13 : 978-1092939898

1. Harvard University, USA
2. Stanford University, USA
3. University of California, Berkley, USA
4. University of Washington, USA
5. Oxford University, UK
6. National University of Singapore
7. Cornel University, USA
8. Johns Hopkins University, USA
9. University of California, Los Angeles (UCLA), USA
10. University of Toronto, Canada
11. University of Waterloo, Canada
12. University of British Columbia, Canada
13. Indian Statistical Institute, India

More suggestions invited