Design Of Experiments And Advanced Statistical Techniques In Clinical Research
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Design Of Experiments And Advanced Statistical Techniques In Clinical Research
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Author : Basavarajaiah D. M.
language : en
Publisher: Springer Nature
Release Date : 2020-11-05
Design Of Experiments And Advanced Statistical Techniques In Clinical Research written by Basavarajaiah D. M. and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-05 with Medical categories.
Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.
Advanced Statistical Methods In Life Science
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Author : Basavarajaiah D.M
language : en
Publisher: CRC Press
Release Date : 2025-07-25
Advanced Statistical Methods In Life Science written by Basavarajaiah D.M and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Mathematics categories.
This book introduces the principles and foundations of advanced statistical methods for designing experiments and testing hypotheses in life sciences. Advanced statistical methods, such as testing of hypotheses, recent methods of sample size determination/imputation, estimation techniques, probability distributions, and univariate analysis demonstrated with real data, and their integration into life sciences are included in this book. Advanced topics are presented with sufficient conceptual depth and examples to explain the use of recent statistical techniques and to demonstrate what conclusions can be drawn at the right time using modeling in life science research. Key features: Explains the derivation of statistical models to prove disease transmission using massive real-world datasets to explore practical applicability Incorporates the application of innovative advanced statistical and epidemiological models and demonstrates the possible solutions for public health policy intervention Helps to understand the process of hypothesis testing in small or larger observations by using weighted parameters Presents suitable examples and real-life research datasets, and all models can easily be followed in formulating statistical and mathematical derivations and key points Includes machine learning (ML), statistical methods for meta-analysis, testing of hypotheses, methods of imputation, estimation techniques, probability distributions, univariate analysis, and recent nonparametric methods, all illustrated through actual data This textbook is for students and scholars of various courses in life sciences, medicine, mathematics, and statistical science. It will also help academicians and researchers to understand the foundation of this topic.
Advanced Medical Statistics 2nd Edition
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Author : Ying Lu
language : en
Publisher: World Scientific
Release Date : 2015-06-29
Advanced Medical Statistics 2nd Edition written by Ying Lu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-29 with Medical categories.
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.
Covid Transmission Modeling
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Author : DM Basavarajaiah
language : en
Publisher: CRC Press
Release Date : 2022-06-28
Covid Transmission Modeling written by DM Basavarajaiah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Mathematics categories.
COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book’s 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact. Features Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures Includes models that can easily be followed in formulating the mathematical derivations and key points Supplemented with ample illustrations, images, diagrams, and figures This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.
Advanced Performance Improvement In Health Care
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Author : Donald Lighter
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2011
Advanced Performance Improvement In Health Care written by Donald Lighter and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.
Amidst a deepening crisis in U.S. health care, Advanced Performance Improvement in Health Care provides a results-oriented approach to rehabilitating an ailing healthcare system. With his innovative, instructive strategies, Lighter offers a welcome road map to guide meaningful change in the industry and to equip healthcare managers to meet 21st century challenges. Advanced Performance Improvement in Health Care: Principles and Methods provides healthcare educators, leaders, and clinicians with the specific knowledge and tools vital for creating and advocating for quality-centric, next-generation healthcare organizations. This unique compilation of management, analytical, and statistical methods and techniques serves as a comprehensive guide to harnessing todays technology and developing a culture of quality that delivers sustainable, quantifiable value in healthcare organizations.
Advanced Linear Models
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Author : Shein-Chung Chow
language : en
Publisher: Routledge
Release Date : 2018-05-04
Advanced Linear Models written by Shein-Chung Chow and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-04 with Mathematics categories.
This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and prediction. The authors discuss the application of statistical theories and methodologies to various linear models such as the linear regression model, the analysis of variance model, the analysis of covariance model, and the variance components model.
Applied Medical Statistics
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Author : Jingmei Jiang
language : en
Publisher: John Wiley & Sons
Release Date : 2022-05-05
Applied Medical Statistics written by Jingmei Jiang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-05 with Medical categories.
APPLIED MEDICAL STATISTICS An up-to-date exploration of foundational concepts in statistics and probability for medical students and researchers Medical journals and researchers are increasingly recognizing the need for improved statistical rigor in medical science. In Applied Medical Statistics, renowned statistician and researcher Dr. Jingmei Jiang delivers a clear, coherent, and accessible introduction to basic statistical concepts, ideal for medical students and medical research practitioners. The book will help readers master foundational concepts in statistical analysis and assist in the development of a critical understanding of the basic rationale of statistical analysis techniques. The distinguished author presents information without assuming the reader has a background in specialized mathematics, statistics, or probability. All of the described methods are illustrated with up-to-date examples based on real-world medical research, supplemented by exercises and case discussions to help solidify the concepts and give readers an opportunity to critically evaluate different research scenarios. Readers will also benefit from the inclusion of: A thorough introduction to basic concepts in statistics, including foundational terms and definitions, location and spread of data distributions, population parameters estimation, and statistical hypothesis tests Explorations of commonly used statistical methods, including t-tests,analysis of variance, and linear regression Discussions of advanced analysis topics, including multiple linear regression and correlation, logistic regression, and survival analysis Substantive exercises and case discussions at the end of each chapter Perfect for postgraduate medical students, clinicians, and medical and biomedical researchers, Applied Medical Statistics will also earn a place on the shelf of any researcher with an interest in biostatistics or applying statistical methods to their own field of research.
Text Book Of Biostatistics And Research Methodology
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Author : Prof. (Dr.) Gajendra Kumar Saraswat , Mr. Sandeep Kumar Jhamb , Dr. Vijay Kumar , Dr. Nirmala Devi , Dr. Saheli Pradhan
language : en
Publisher: Shashwat Publication
Release Date : 2025-03-18
Text Book Of Biostatistics And Research Methodology written by Prof. (Dr.) Gajendra Kumar Saraswat , Mr. Sandeep Kumar Jhamb , Dr. Vijay Kumar , Dr. Nirmala Devi , Dr. Saheli Pradhan and has been published by Shashwat Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-18 with Fiction categories.
The Textbook of Biostatistics and Research Methodology is a comprehensive guide designed for students, researchers, and professionals in pharmaceutical and biomedical sciences. It provides fundamental concepts and practical applications of statistical methods used in research and industry. The book begins with measures of central tendency, covering mean, median, and mode with pharmaceutical examples, helping readers understand data distribution in research. It then explores measures of dispersion, including range and standard deviation, which are crucial for analyzing variability in drug formulations and clinical studies. A dedicated section on correlation explains Karl Pearson’s coefficient and multiple correlation techniques, providing real-world pharmaceutical applications. The regression analysis chapter covers curve fitting, least squares method, and multiple regression, aiding in predictive modeling of drug responses. The book delves into probability distributions, including binomial, normal, and Poisson distributions, along with sampling techniques, hypothesis testing, and standard error concepts used in pharmaceutical research. Parametric tests, such as t-tests, ANOVA, and least significance difference methods, are thoroughly explained for comparing sample groups in clinical trials. For non-parametric analysis, tests like the Wilcoxon Rank Sum Test, Mann-Whitney U Test, Kruskal-Wallis Test, and Friedman Test are covered, offering alternatives for non-normally distributed data. The introduction to research methodology discusses the importance of experimental design, plagiarism, and ethical research practices. The book also covers graphical data representation through histograms, pie charts, cubic graphs, response surface plots, and contour plots, enhancing statistical analysis visualization. The methodology design chapter includes sample size determination, data presentation, and protocol development for cohort and clinical studies.
Methods Of Randomization In Experimental Design
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Author : Valentim R. Alferes
language : en
Publisher: SAGE Publications
Release Date : 2012-10-01
Methods Of Randomization In Experimental Design written by Valentim R. Alferes and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-01 with Social Science categories.
In Methods of Randomization in Experimental Design, author Valentim R. Alferes presents the main procedures of random assignment and local control in between-subjects experimental designs and the counterbalancing schemes in within-subjects or cross-over experimental designs. Alferes uses a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using common features included in most word processor software. A companion website provides downloadable IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3.
Routledge International Handbook Of Advanced Quantitative Methods In Nursing Research
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Author : Susan J Henly
language : en
Publisher: Routledge
Release Date : 2015-07-24
Routledge International Handbook Of Advanced Quantitative Methods In Nursing Research written by Susan J Henly and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-24 with Medical categories.
Designed to support global development of nursing science, the Routledge International Handbook of Advanced Quantitative Methods in Nursing Research provides a new, comprehensive, and authoritative treatment of advanced quantitative methods for nursing research. Incorporating past approaches that have served as the foundation for the science, this cutting edge book also explores emerging approaches that will shape its future. Divided into six parts, it covers: -the domain of nursing science - measurement—classical test theory, IRT, clinimetrics, behavioral observation, biophysical measurement -models for prediction and explanation—SEM, general growth mixture models, hierarchical models, analysis of dynamic systems -intervention research—theory-based interventions, causality, third variables, pilot studies, quasi-experimental design, joint models for longitudinal data and time to event -e-science—DIKW paradigm, big data, data mining, omics, FMRI -special topics—comparative effectiveness and meta-analysis, patient safety, economics research in nursing, mixed methods, global research dissemination Written by a distinguished group of international nursing scientists, scientists from related fields, and methodologists, the Handbook is the ideal reference for everyone involved in nursing science, whether they are graduate students, academics, editors and reviewers, or clinical investigators.