Azizur Rahman

In an era marked by exponential growth in data generation and an unprecedented convergence of technology and healthcare, the intersection of biostatistics and data science has become a pivotal domain. This book is the ideal companion in navigating the convergence of statistical methodologies and data science techniques with diverse applications implemented in the open-source environment of R. It is designed to be a comprehensive guide, marrying the principles of biostatistics with the practical implementation of statistics and data science in R, thereby empowering learners, researchers, and practitioners with the tools necessary to extract meaningful knowledge from biological, health, and medical datasets. This book is intended for students, researchers, and professionals eager to harness the combined power of biostatistics, data science, and the R programming language while gathering vital statistical knowledge needed for cutting-edge scientists in all fields. It is useful for those seeking to understand the basics of data science and statistical analysis, or looking to enhance their skills in handling any simple or complex data including biological, health, medical, and industry data. Key Features:Presents contemporary concepts of data science and biostatistics with real-life data analysis examplesPromotes the evolution of fundamental and advanced methods applying to real-life problem-solving casesExplores computational statistical data science techniques from initial conception to recent developments of biostatisticsProvides all R codes and real-world datasets to practice and competently apply into reader’s own domainsWritten in an exclusive state-of-the-art deductive approach without any theoretical hitches to support all contemporary readers

2-Pyrazoline derivatives are synthesized by diverse reaction schemes and display a broad spectrum of potential pharmacological activities. The derivatives are present in numerous pharmacologically active molecules such as azolid/ tandearil (anti-inflammatory), phenazone/ amidopyrene/ methampyrone (analgesic and antipyretic), anturane (uricosuric) and indoxacarb (insecticide). New therapeutic agents having improved potency and lesser toxicity are developed by changing in their structure, and it has offered a high degree of diversity that has proven useful for the new drug development. The aim of the present research was thus focused on 2-pyrazoline-1-carboxamide derivatives. The 2-pyrazoline-1-carboxamide derivatives were synthesized by convenient, economical methods in less reaction time and with better yield of products with high level of purity. The compounds numbered 4d-4e, 4j-4k, and 4m-4t were most protective against MES even at 30 mg/kg dose levels. The synthesized compounds were showing minimal neurotoxicity. Thus, it is concluded that all the tested compounds are protective against MES at 100-300 mg/kg dose levels and show promising anticonvulsant activity.

Mikrofinanz (MF) hat sich in einer Reihe von L ndern der Dritten Welt als wirksames Instrument zur Armutsbek mpfung und zur wirtschaftlichen St rkung von Frauen erwiesen; Bangladesch-Brasilien ist das beste Beispiel f r diesen Anspruch. Indien, das mehr oder weniger die gleichen Gegebenheiten wie viele andere L nder hat, erkannte ebenfalls das Potenzial von MF zur Armutsbek mpfung und wandte Mikrofinanzierung an, um Anfang der 80er Jahre hnliche Ergebnisse bei der Verringerung von Armut und Ungleichheit zu erzielen. Obwohl MF in Indien ein beachtliches Wachstum erzielte, steht diese Branche heute jedoch vor einer Reihe von Herausforderungen und verlangt nach einer guten und kontextspezifischen klugen Politik und einer rigorosen Umsetzung. Dies kann sich als wirksam erweisen, wenn es darum geht, die MF dazu zu bewegen, auf die Erf llung ihrer Versprechen hinzuarbeiten, einen Beitrag zur Linderung der Armut zu leisten und Frauen zu bef higen, indem sichergestellt wird, dass die Dienstleistungen der MF auch den rmsten der Armen zugute kommen. Die Monographie ist ein Versuch, die vielf ltigen Herausforderungen, die in der Branche vorherrschen, zu analysieren und politische Rezepte zur Bew ltigung dieser Herausforderungen auszuarbeiten.

This research explores the new structures of different varieties of exact solution of the nonlinear time-conformable fractional PHI-four equations and unstable nonlinear Schrodinger equation through the generalized Kudryshov method. The got new exact solution are designed in the styles of the rational, and exponential functions studied designate that the procedure is serviceable to study the integral and fractional nonlinear evolution equations in mathematical physics and engineering.

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. FeaturesCovers both theoretical and applied aspects for real-world comparative research and regional statistics productionThoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statisticsProvides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling.

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE methods in the framework of ultramodern spatial microsimulation modeling while providing the novel approach of creating synthetic spatial microdata. Along with describing the necessary theories and their advantages and limitations, the authors illustrate the practical application of the techniques to a large number of substantive problems, including how to build up models, organize and link data, create synthetic microdata, conduct analyses, yield informative tables and graphs, and evaluate how the findings effectively support the decision making processes in government and non-government organizations. Features Covers both theoretical and applied aspects for real-world comparative research and regional statistics production Thoroughly explains how microsimulation modeling technology can be constructed using available datasets for reliable small area statistics Provides SAS codes that allow readers to utilize these latest technologies in their own work. This book is designed for advanced graduate students, academics, professionals and applied practitioners who are generally interested in small area estimation and/or microsimulation modeling and dealing with vital issues in social and behavioural sciences, applied economics and policy analysis, government and/or social statistics, health sciences, business, psychology, environmental and agriculture modeling, computational statistics and data simulation, spatial statistics, transport and urban planning, and geospatial modeling. Dr Azizur Rahman is a Senior Lecturer in Statistics and convenor of the Graduate Program in Applied Statistics at the Charles Sturt University, and an Adjunct Associate Professor of Public Health and Biostatistics at the University of Canberra. His research encompasses small area estimation, applied economics, microsimulation modeling, Bayesian inference and public health. He has more than 60 scholarly publications including two books. Dr. Rahman’s research is funded by the Australian Federal and State Governments, and he serves on a range of editorial boards including the International Journal of Microsimulation (IJM). Professor Ann Harding, AO is an Emeritus Professor of Applied Economics and Social Policy at the National Centre for Social and Economic Modelling (NATSEM) of the University of Canberra. She was the founder and inaugural Director of this world class Research Centre for more than sixteen years, and also a co-founder of the International Microsimulation Association (IMA) and served as the inaugural elected president of IMA from 2004 to 2011. She is a fellow of the Academy of the Social Sciences in Australia. She has more than 300 publications including several books in microsimulation modeling.