About Book
Text Book of Applied Biostatistics and Data Analytics for Pharmaceutical Sciences provides a comprehensive introduction to statistical concepts and modern data-analysis techniques used in pharmacy and healthcare research. The book is specially designed for students, teachers, researchers, and professionals working in pharmaceutical sciences. It explains the fundamental principles of biostatistics in a simple, systematic, and application-oriented manner. The introductory section describes the scope and importance of biostatistics in drug development, clinical research, quality control, and public health. It provides a clear understanding of different types of data, variables, scales of measurement, population, samples, and sampling techniques with suitable pharmaceutical examples. The book also explains frequency distributions, graphical presentation of data, measures of central tendency such as mean, median, and mode, and measures of dispersion including range, variance, standard deviation, and coefficient of variation. Basic probability concepts and important probability distributions, such as binomial, Poisson, and normal distributions, are described with relevant examples. Sampling distributions, the Central Limit Theorem, confidence intervals, hypothesis testing, Type I and Type II errors, p-values, and statistical significance are presented in an easy-to-understand manner. Parametric tests, including the Z-test, Student’s t-test, paired t-test, and one-way ANOVA, as well as non-parametric tests such as the chi-square test, Mann–Whitney U test, Wilcoxon signed-rank test, and Kruskal–Wallis test, are covered comprehensively. Their practical applications in pharmaceutical research and clinical studies are highlighted throughout the book. Correlation analysis using Pearson and Spearman methods, linear regression, and the basic concepts of multiple regression are also discussed for predicting pharmaceutical and clinical outcomes. The principles of experimental design, including randomization, replication, blocking, and introductory factorial designs, are explained with practical relevance to the optimization of pharmaceutical formulations and processes. A distinctive feature of the book is its dedicated section on data analytics using Python. Readers are introduced to Python programming for handling and analyzing pharmaceutical datasets, along with the use of Pandas, NumPy, and Matplotlib for data management, numerical computation, and visualization. The book also provides guidance on importing, cleaning, organizing, analyzing, and interpreting research data. Overall, it serves as a valuable academic and professional resource for applying biostatistics and data analytics in pharmaceutical, clinical, and healthcare research.
About Author
Dr. Divya Kashyap, BDS, MDS (Public Health Dentistry), is an Assistant Professor in the Department of Public Health Dentistry. With a strong commitment to preventive oral healthcare, education, and research, she has dedicated her academic career to advancing evidence-based dental practice and promoting oral health awareness. She holds a keen interest in biostatistics and is passionate about simplifying statistical concepts to make them more accessible to undergraduate, postgraduate, and research scholars. Her academic contributions include the authorship of two books and the receipt of two UK Design Patents, reflecting her commitment to innovation and scholarly excellence.Alongside her academic responsibilities, she remains actively involved in clinical practice, integrating research, teaching, and patient care. Through her work, she continues to inspire and mentor future dental professionals while contributing to the advancement of public health dentistry.
Dr Smriti Tripathi, a distinguished dental professional, earned her Bachelor of Dental Surgery (BDS) from Maharana Pratap Dental College and Hospital, Kanpur, India and MDS degree from Rama Dental College Hospital and Research Centre, Kanpur. Currently, serving as a Senior Lecturer in Department of Public Health Dentistry in Maharana Pratap Dental College and Hospital, kanpur.Since then, she has been actively engaged in teaching the students with a experience of more than 2 years.She has done publications and also a author of a book. She has organised various dental health checkup camps in various schools, institutions and rural & urban areas and also actively involved in Oral health research and training programmes. As a Public Health Dentist she is focused on promoting oral health and preventing oral diseases within communities and populations.She is a trained professionals with experience in community development programmes and basic health services, as a Public Health Dentist she is focused on promoting oral health and preventing oral diseases within communities and populations, along with their diagnosis and treatment.
Dr Mak has 10 years of teaching and research experience. She is currently a Senior Lecturer at IMU University, Kuala Lumpur, Malaysia, and was listed as a top 2% researcher in the year 2024. She completed her postdoctoral training at the University of Illinois at Chicago, USA. Her research expertise is in Medicinal Chemistry and Artificial Intelligence in drug discovery to address unmet health needs.
Dr. Pichika Mallikarjuna Rao is a Professor and Dean of Research at Newcastle University, UK, Malaysia Campus (NuMed). He has 35 years of extensive experience in teaching and research. His principal field of expertise is drug discovery, with a strong focus on identifying and developing new therapeutic agents. He has made significant contributions to academic leadership, pharmaceutical research, and scientific innovation. Through his teaching, research, and mentorship, he continues to support the advancement of modern drug discovery and healthcare research.
Dr. Balijepalli Madhu Katyayani is an Associate Professor at MAHSA University, Malaysia, with 25 years of extensive experience in teaching and research. She specializes in ethnopharmacology and has made valuable contributions to pharmaceutical education and scientific research. Her academic interests focus on the study of traditional medicines, medicinal plants, natural products, and their therapeutic applications. Through her teaching and research activities, she continues to promote the scientific validation and development of plant-based medicines.
Prof (Dr) Ramenani Hari Babu is a Professor at Pharmacy Practice at Amity Institute of Pharmacy, Amity University, Madhya Pradesh with over 24 years of teaching and research experience. He has expertise in professional pharmacy practice, application of Artificial Intelligence, Machine Learning and Data science in Pharmaceutical Sciences. He has published several research papers in national and international journals and guided doctoral, Pharm.D and postgraduate research students.
