Medical Biostatistics for Complex Diseases

Medical Biostatistics for Complex Diseases
Author :
Publisher : John Wiley & Sons
Total Pages : 412
Release :
ISBN-10 : 3527630341
ISBN-13 : 9783527630349
Rating : 4/5 (41 Downloads)

Synopsis Medical Biostatistics for Complex Diseases by : Frank Emmert-Streib

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.

Medical Biostatistics

Medical Biostatistics
Author :
Publisher : CRC Press
Total Pages : 1245
Release :
ISBN-10 : 9781351585552
ISBN-13 : 135158555X
Rating : 4/5 (52 Downloads)

Synopsis Medical Biostatistics by : Abhaya Indrayan

Encyclopedic in breadth, yet practical and concise, Medical Biostatistics, Fourth Edition focuses on the statistical aspects ofmedicine with a medical perspective, showing the utility of biostatistics as a tool to manage many medical uncertainties. This edition includes more topics in order to fill gaps in the previous edition. Various topics have been enlarged and modified as per the new understanding of the subject.

Network Medicine

Network Medicine
Author :
Publisher : Harvard University Press
Total Pages : 449
Release :
ISBN-10 : 9780674436534
ISBN-13 : 0674436539
Rating : 4/5 (34 Downloads)

Synopsis Network Medicine by : Joseph Loscalzo

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain. Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine’s unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context. By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease.

Oxford Handbook of Medical Statistics

Oxford Handbook of Medical Statistics
Author :
Publisher : Oxford University Press
Total Pages : 540
Release :
ISBN-10 : 9780199551286
ISBN-13 : 0199551286
Rating : 4/5 (86 Downloads)

Synopsis Oxford Handbook of Medical Statistics by : Janet Peacock

The majority of medical research involves quantitative methods and so it is essential to be able to understand and interpret statistics. This book shows readers how to develop the skills required to critically appraise research evidence effectively, and how to conduct research and communicate their findings.

Epidemiology, Biostatistics, and Preventive Medicine

Epidemiology, Biostatistics, and Preventive Medicine
Author :
Publisher : Elsevier Health Sciences
Total Pages : 436
Release :
ISBN-10 : 9781416034964
ISBN-13 : 141603496X
Rating : 4/5 (64 Downloads)

Synopsis Epidemiology, Biostatistics, and Preventive Medicine by : James F. Jekel

You'll find the latest on healthcare policy and financing, infectious diseases, chronic disease, and disease prevention technology.

Epidemiology and Biostatistics

Epidemiology and Biostatistics
Author :
Publisher : Springer Science & Business Media
Total Pages : 242
Release :
ISBN-10 : 9780387884332
ISBN-13 : 0387884335
Rating : 4/5 (32 Downloads)

Synopsis Epidemiology and Biostatistics by : Bryan Kestenbaum

Concise, fast-paced, intensive introduction to clinical research design for students and clinical research professionals Readers will gain sufficient knowledge to pass the United States Medical Licensing Examination part I section in Epidemiology

Applied Abstract Algebra

Applied Abstract Algebra
Author :
Publisher : Springer Science & Business Media
Total Pages : 500
Release :
ISBN-10 : 9781475729412
ISBN-13 : 1475729413
Rating : 4/5 (12 Downloads)

Synopsis Applied Abstract Algebra by : Rudolf Lidl

Accessible to junior and senior undergraduate students, this survey contains many examples, solved exercises, sets of problems, and parts of abstract algebra of use in many other areas of discrete mathematics. Although this is a mathematics book, the authors have made great efforts to address the needs of users employing the techniques discussed. Fully worked out computational examples are backed by more than 500 exercises throughout the 40 sections. This new edition includes a new chapter on cryptology, and an enlarged chapter on applications of groups, while an extensive chapter has been added to survey other applications not included in the first edition. The book assumes knowledge of the material covered in a course on linear algebra and, preferably, a first course in (abstract) algebra covering the basics of groups, rings, and fields.

Advanced Medical Statistics (2nd Edition)

Advanced Medical Statistics (2nd Edition)
Author :
Publisher : World Scientific
Total Pages : 1471
Release :
ISBN-10 : 9789814583329
ISBN-13 : 9814583324
Rating : 4/5 (29 Downloads)

Synopsis Advanced Medical Statistics (2nd Edition) by : Ying Lu

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.

How to Practice Academic Medicine and Publish from Developing Countries?

How to Practice Academic Medicine and Publish from Developing Countries?
Author :
Publisher : Springer Nature
Total Pages : 475
Release :
ISBN-10 : 9789811652486
ISBN-13 : 9811652481
Rating : 4/5 (86 Downloads)

Synopsis How to Practice Academic Medicine and Publish from Developing Countries? by : Samiran Nundy

This is an open access book. The book provides an overview of the state of research in developing countries – Africa, Latin America, and Asia (especially India) and why research and publications are important in these regions. It addresses budding but struggling academics in low and middle-income countries. It is written mainly by senior colleagues who have experienced and recognized the challenges with design, documentation, and publication of health research in the developing world. The book includes short chapters providing insight into planning research at the undergraduate or postgraduate level, issues related to research ethics, and conduct of clinical trials. It also serves as a guide towards establishing a research question and research methodology. It covers important concepts such as writing a paper, the submission process, dealing with rejection and revisions, and covers additional topics such as planning lectures and presentations. The book will be useful for graduates, postgraduates, teachers as well as physicians and practitioners all over the developing world who are interested in academic medicine and wish to do medical research.

Biostatistics for Medical and Biomedical Practitioners

Biostatistics for Medical and Biomedical Practitioners
Author :
Publisher : Academic Press
Total Pages : 772
Release :
ISBN-10 : 9780128026076
ISBN-13 : 0128026073
Rating : 4/5 (76 Downloads)

Synopsis Biostatistics for Medical and Biomedical Practitioners by : Julien I. E. Hoffman

Biostatistics for Practitioners: An Interpretative Guide for Medicine and Biology deals with several aspects of statistics that are indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard statistical tests, as well as discussions of the most common errors. The book is based on the author's 40+ years of teaching statistics to medical fellows and biomedical researchers across a wide range of fields. - Discusses how to use the standard statistical tests in the biomedical field, as well as how to make statistical inferences (t test, ANOVA, regression etc.) - Includes non-standards tests, including equivalence or non-inferiority testing, extreme value statistics, cross-over tests, and simple time series procedures such as the runs test and Cusums - Introduces procedures such as multiple regression, Poisson regression, meta-analysis and resampling statistics, and provides references for further studies