Statistical Methods At The Forefront Of Biomedical Advances

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Statistical Methods At The Forefront Of Biomedical Advances

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Author : Yolanda Larriba
language : en
Publisher: Springer Nature
Release Date : 2023-08-09

Statistical Methods At The Forefront Of Biomedical Advances written by Yolanda Larriba and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with Science categories.

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some of the leading experts in the mathematical and statistical field which address new challenges in very disparate biomedical areas, such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The mathematical rigor is written in a user-friendly way to serve a general biomedical audience ranging from trainees or students to doctors, as well as scientific researchers, university departments, and PhD students.

Statistical Methods At The Forefront Of Biomedical Advances

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Author : Yolanda Larriba
language : en
Publisher:
Release Date : 2023

Statistical Methods At The Forefront Of Biomedical Advances written by Yolanda Larriba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with categories.

This book presents novel statistics methods and reproducible software that helps to solve challenging problems in biomedicine. Specifically, it consists of a collection of 11 chapters contributed by some of the leading experts in the mathematical and statistical field which address new challenges in very disparate biomedical areas, such as genomics, cancer, circadian biology, microbiome, mental disorders, and more. The mathematical rigor is written in a user-friendly way to serve a general biomedical audience ranging from trainees or students to doctors, as well as scientific researchers, university departments, and PhD students.

Statistical Methods For Biomedical Research

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Author : Ji-qian Fang
language : en
Publisher: World Scientific
Release Date : 2021-03-18

Statistical Methods For Biomedical Research written by Ji-qian Fang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-18 with Medical categories.

This book consists of four parts with 32 chapters adapted for four short courses, from the basic to the advanced levels of medical statistics (biostatistics), ideal for biomedical students. Part 1 is a compulsory course of Basic Statistics with descriptive statistics, parameter estimation and hypothesis test, simple correlation and regression. Part 2 is a selective course on Study Design and Implementation with sampling survey, interventional study, observational study, diagnosis study, data sorting and article writing. Part 3 is a specially curated course of Multivariate Analyses with complex analyses of variance, variety of regressions and classical multivariate analyses. Part 4 is a seminar course on Introduction to Advanced Statistical Methods with meta-analysis, time series, item response theory, structure equation model, multi-level model, bio-informatics, genetic statistics and data mining.The main body of each chapter is followed by five practical sections: Report Writing, Case Discrimination, Computer Experiments, Frequently Asked Questions and Summary, and Practice & Think. Moreover, there are 2 attached Appendices, Appendix A includes Introductions to SPSS, Excel and R respectively, and Appendix B includes all the programs, data and printouts for Computer Experiments in addition to the Tests for Review and the reference answers for Case Discrimination as well as Practice & Think..This book can be used as a textbook for biomedical students at both under- and postgraduate levels. It can also serve as an important guide for researchers, professionals and officers in the biomedical field.

Epidemiology And Medical Statistics

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Author :
language : en
Publisher: Elsevier
Release Date : 2007-11-21

Epidemiology And Medical Statistics written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-21 with Mathematics categories.

This volume, representing a compilation of authoritative reviews on a multitude of uses of statistics in epidemiology and medical statistics written by internationally renowned experts, is addressed to statisticians working in biomedical and epidemiological fields who use statistical and quantitative methods in their work. While the use of statistics in these fields has a long and rich history, explosive growth of science in general and clinical and epidemiological sciences in particular have gone through a see of change, spawning the development of new methods and innovative adaptations of standard methods. Since the literature is highly scattered, the Editors have undertaken this humble exercise to document a representative collection of topics of broad interest to diverse users. The volume spans a cross section of standard topics oriented toward users in the current evolving field, as well as special topics in much need which have more recent origins. This volume was prepared especially keeping the applied statisticians in mind, emphasizing applications-oriented methods and techniques, including references to appropriate software when relevant.· Contributors are internationally renowned experts in their respective areas· Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research· Methods for assessing Biomarkers, analysis of competing risks· Clinical trials including sequential and group sequential, crossover designs, cluster randomized, and adaptive designs· Structural equations modelling and longitudinal data analysis

University Of London And The World Of Learning 1836 1986

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Author : F. M. L. Thompson
language : en
Publisher: Bloomsbury Publishing
Release Date : 1990-07-01

University Of London And The World Of Learning 1836 1986 written by F. M. L. Thompson and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-07-01 with History categories.

This book covers the architectural image of the university as well as the people involved and courses available, with expert authors for each section.

Integrative Bioinformatics For Biomedical Big Data

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Author : Xiuzhen Huang
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-28

Integrative Bioinformatics For Biomedical Big Data written by Xiuzhen Huang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-28 with Science categories.

Explains the value of no-boundary thinking (NBT) in biological and biomedical research in helping to define impactful research questions.

Research Methodology And Medical Statistics

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Author : Vaidya Vasant Patil
language : en
Publisher: Atreya Ayurveda
Release Date : 2024-10-12

Research Methodology And Medical Statistics written by Vaidya Vasant Patil and has been published by Atreya Ayurveda this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-12 with Medical categories.

In the era of evidence-based medicine, the need to validate and scientifically explore Ayurvedic principles and therapies has become more pertinent than ever. The field of Ayurveda research is evolving, and there is a growing demand for scholars who can integrate traditional wisdom with modern research methodologies. This book, " Research Methodology and Medical Statistics," has been written specifically for MD and PhD scholars of Ayurveda, with the aim of guiding them in conducting scientifically robust research that adheres to contemporary standards while respecting the uniqueness of the Ayurvedic system. The book is divided into two major sections: Research Methodology and Medical Statistics, each specifically designed to meet the needs of MD and PhD scholars in Ayurveda. The first section on Research Methodology begins by laying the foundation for scientific inquiry, explaining the principles of formulating research questions, developing hypotheses, and selecting appropriate study designs. Given the unique nature of Ayurvedic treatments, this section covers various research designs, including clinical trials, observational studies, qualitative research, and N-of-1 studies, which can be particularly suitable for personalized Ayurvedic interventions. There is also an in-depth discussion on how to adapt conventional research designs to Ayurvedic contexts, such as accommodating individualized treatment protocols and dynamic diagnostic criteria. Special attention is given to challenges such as the standardization of herbal formulations, validation of Ayurvedic diagnostic tools, and integrating Panchakarma (detoxification therapies) into clinical research. The second section, focusing on Medical Statistics, serves as a valuable resource for understanding the statistical tools and techniques needed for analyzing research data. Statistical analysis is an integral part of research, providing a framework for making sense of collected data and drawing meaningful conclusions. This section introduces fundamental statistical concepts in a manner that is accessible to those who may not have a strong background in mathematics, with examples specifically tailored to Ayurveda. Topics covered include descriptive statistics, inferential statistics, hypothesis testing, correlation, regression, and non-parametric tests.

Essentials Of Bioinformatics Volume Ii

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Author : Noor Ahmad Shaik
language : en
Publisher: Springer Nature
Release Date : 2019-10-18

Essentials Of Bioinformatics Volume Ii written by Noor Ahmad Shaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-18 with Science categories.

Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.

Statistical Methods In Drug Combination Studies

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Author : Wei Zhao
language : en
Publisher: CRC Press
Release Date : 2014-12-19

Statistical Methods In Drug Combination Studies written by Wei Zhao and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-19 with Mathematics categories.

The growing interest in using combination drugs to treat various complex diseases has spawned the development of many novel statistical methodologies. The theoretical development, coupled with advances in statistical computing, makes it possible to apply these emerging statistical methods in in vitro and in vivo drug combination assessments. Howeve

R For Basic Biostatistics In Medical Research

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Author : Anand Srinivasan
language : en
Publisher: Springer Nature
Release Date : 2024-12-02

R For Basic Biostatistics In Medical Research written by Anand Srinivasan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Medical categories.

The scientific community at the global level is fast becoming aware of the rising use of open-source tools such as R and Python for data analysis. Unfortunately, in spite of the awareness, the conversion of the intrigue to the practical knowledge in utilization of the open-source tools for routine day-to-day data analysis is seriously lacking both among physicians and medical scientists. This book enables physician-scientists to understand the complexity of explaining a programming/ data-analytic language to a healthcare professional and medical scientist. It simplifies and explains how R can be used in medical projects and routine office works. It also talks about the methodologies to convert the knowledge to practice. The book starts with the introduction to the structure of R programming language in the initial chapters, followed with explanations of utilizing R in the basics of data analysis like data importing and exporting, operations on a data frame, parametric and non-parametric tests, regression, sample size calculation, survival analysis, receiver operator characteristic analysis (ROC) and techniques of randomization. Each chapter provides a brief introduction to the involved statistics, for example, dataset, working codes, and a section explaining the codes. In addition to it, a chapter has been dedicated to describing the ways to generate plots using R. This book primarily targets health care professionals and medical/life-science researchers in general.