Statistical Diagnostics For Cancer

Download Statistical Diagnostics For Cancer full books in PDF, epub, and Kindle. Read online Statistical Diagnostics For Cancer ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Statistical Diagnostics for Cancer

Author : Matthias Dehmer
Publisher : John Wiley & Sons
ISBN 13 : 3527665455
Total Pages : 301 pages
Book Rating : 4.5/5 (276 download)

DOWNLOAD NOW!

Book Synopsis Statistical Diagnostics for Cancer by : Matthias Dehmer

Download or read book Statistical Diagnostics for Cancer written by Matthias Dehmer and published by John Wiley & Sons. This book was released on 2012-11-28 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of sufficient computer power in recent years has shifted attention from parametric to nonparametric methods, the methods presented here make use of such computer-intensive approaches as Bootstrap, Markov Chain Monte Carlo or general resampling methods. Finally, due to the large amount of information available in public databases, a chapter on Bayesian methods is included, which also provides a systematic means to integrate this information. A welcome guide for mathematicians and the medical and basic research communities.

Biostatistical Applications in Cancer Research

Author : Craig Beam
Publisher : Springer Science & Business Media
ISBN 13 : 1475735715
Total Pages : 242 pages
Book Rating : 4.4/5 (757 download)

DOWNLOAD NOW!

Book Synopsis Biostatistical Applications in Cancer Research by : Craig Beam

Download or read book Biostatistical Applications in Cancer Research written by Craig Beam and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biostatistics is defined as much by its application as it is by theory. This book provides an introduction to biostatistical applications in modern cancer research that is both accessible and valuable to the cancer biostatistician or to the cancer researcher, learning biostatistics. The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data. Biostatistics is an essential component of basic and clinical cancer research. The text, authored by distinguished figures in the field, addresses clinical issues in statistical analysis. The spectrum of topics discussed ranges from fundamental methodology to clinical and translational applications.

The Statistical Evaluation of Medical Tests for Classification and Prediction

Author : Margaret Sullivan Pepe
Publisher :
ISBN 13 : 0198509847
Total Pages : 319 pages
Book Rating : 4.1/5 (985 download)

DOWNLOAD NOW!

Book Synopsis The Statistical Evaluation of Medical Tests for Classification and Prediction by : Margaret Sullivan Pepe

Download or read book The Statistical Evaluation of Medical Tests for Classification and Prediction written by Margaret Sullivan Pepe and published by . This book was released on 2003 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes statistical concepts and techniques for evaluating medical diagnostic tests and biomarkers for detecting disease. More generally, the techniques pertain to the statistical classification problem for predicting a dichotomous outcome. Measures for quantifying test accuracy are described including sensitivity, specificity, predictive values, diagnostic likelihood ratios and the Receiver Operating Characteristic Curve that is commonly used for continuous and ordinal valued tests. Statistical procedures are presented for estimating and comparing them. Regression frameworks for assessing factors that influence test accuracy and for comparing tests while adjusting for such factors are presented. This book presents many worked examples of real data and should be of interest to practicing statisticians or quantitative researchers involved in the development of tests for classification or prediction in medicine.

Statistics for Pathologists

Author : Danny A. Milner, Jr., MD
Publisher : Springer Publishing Company
ISBN 13 : 161705268X
Total Pages : 207 pages
Book Rating : 4.6/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Statistics for Pathologists by : Danny A. Milner, Jr., MD

Download or read book Statistics for Pathologists written by Danny A. Milner, Jr., MD and published by Springer Publishing Company. This book was released on 2016-12-28 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes. Chapters are uniformly structured for ease of use and each chapter concludes with reviewquestions to facilitate self-assessment of the reader's skill in use of statistical methods. Statistics for Pathologists teaches trainees, junior investigators, and seasoned pathologists how to look at their data from the point of view of a statistician and determine what tests should be done, how the data and test should be presented, and how to use the tests practically. Learning statistical applications can greatly enhance and simplify the skills necessary to review and present data accurately and this basic understanding of statistics is critical in pathology-related work. Key Features Clear, concise overviews of every relevant statistical test with application in pathology-related research Includes real published studies to provide examples of use of the tests and interpretation of data Emphasizes how to avoid common errors and pitfalls when conducting tests and interpreting data Provides self-assessment review questions and answers in each chapter Comes with downloadable datasets for the reader so that they can perform statistical analysis tied to the book with popular stats programs

Biostatistics for Radiologists

Author : Francesco Sardanelli
Publisher : Springer Science & Business Media
ISBN 13 : 8847011337
Total Pages : 244 pages
Book Rating : 4.8/5 (47 download)

DOWNLOAD NOW!

Book Synopsis Biostatistics for Radiologists by : Francesco Sardanelli

Download or read book Biostatistics for Radiologists written by Francesco Sardanelli and published by Springer Science & Business Media. This book was released on 2009-03-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to present statistical problems and methods in a friendly way to radiologists, emphasizing statistical issues and methods most frequently used in radiological studies (e.g., nonparametric tests, analysis of intra- and interobserver reproducibility, comparison of sensitivity and specificity among different imaging modality, difference between clinical and screening application of diagnostic tests, ect.). The tests will be presented starting from a radiological "problem" and all examples of statistical methods applications will be "radiological".

High-dimensional Microarray Data Analysis

Author : Shuichi Shinmura
Publisher : Springer
ISBN 13 : 9811359989
Total Pages : 419 pages
Book Rating : 4.8/5 (113 download)

DOWNLOAD NOW!

Book Synopsis High-dimensional Microarray Data Analysis by : Shuichi Shinmura

Download or read book High-dimensional Microarray Data Analysis written by Shuichi Shinmura and published by Springer. This book was released on 2019-05-14 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how to decompose high-dimensional microarrays into small subspaces (Small Matryoshkas, SMs), statistically analyze them, and perform cancer gene diagnosis. The information is useful for genetic experts, anyone who analyzes genetic data, and students to use as practical textbooks. Discriminant analysis is the best approach for microarray consisting of normal and cancer classes. Microarrays are linearly separable data (LSD, Fact 3). However, because most linear discriminant function (LDF) cannot discriminate LSD theoretically and error rates are high, no one had discovered Fact 3 until now. Hard-margin SVM (H-SVM) and Revised IP-OLDF (RIP) can find Fact3 easily. LSD has the Matryoshka structure and is easily decomposed into many SMs (Fact 4). Because all SMs are small samples and LSD, statistical methods analyze SMs easily. However, useful results cannot be obtained. On the other hand, H-SVM and RIP can discriminate two classes in SM entirely. RatioSV is the ratio of SV distance and discriminant range. The maximum RatioSVs of six microarrays is over 11.67%. This fact shows that SV separates two classes by window width (11.67%). Such easy discrimination has been unresolved since 1970. The reason is revealed by facts presented here, so this book can be read and enjoyed like a mystery novel. Many studies point out that it is difficult to separate signal and noise in a high-dimensional gene space. However, the definition of the signal is not clear. Convincing evidence is presented that LSD is a signal. Statistical analysis of the genes contained in the SM cannot provide useful information, but it shows that the discriminant score (DS) discriminated by RIP or H-SVM is easily LSD. For example, the Alon microarray has 2,000 genes which can be divided into 66 SMs. If 66 DSs are used as variables, the result is a 66-dimensional data. These signal data can be analyzed to find malignancy indicators by principal component analysis and cluster analysis.

Statistical Methods for Diagnostic Testing

Author : Xin Sun
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (862 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods for Diagnostic Testing by : Xin Sun

Download or read book Statistical Methods for Diagnostic Testing written by Xin Sun and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This report illustrates how to use two statistic methods to investigate the performance of a new technique to detect breast cancer and lung cancer at early stages. The two methods include logistic regression and classification and regression tree (CART). It is found that the technique is effective in detecting breast cancer and lung cancer, with both sensitivity and specificity close to 0.9. But the ability of this technique to predict the actual stages of cancer is low. The age variable improves the ability of logistic regression in predicting the existence of breast cancer for the samples used in this report. But since the sample sizes are small, it is impossible to conclude that including the age variable helps the prediction of breast cancer. Including the age variable does not improve the ability to predict the existence of lung cancer. If the age variable is excluded, CART and logistic regression give a very close result.

Statistical Methods in Diagnostic Medicine

Author : Xiao-Hua Zhou
Publisher : John Wiley & Sons
ISBN 13 : 1118626044
Total Pages : 597 pages
Book Rating : 4.1/5 (186 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods in Diagnostic Medicine by : Xiao-Hua Zhou

Download or read book Statistical Methods in Diagnostic Medicine written by Xiao-Hua Zhou and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the First Edition " . . . the book is a valuable addition to the literature in the field, serving as a much-needed guide for both clinicians and advanced students."—Zentralblatt MATH A new edition of the cutting-edge guide to diagnostic tests in medical research In recent years, a considerable amount of research has focused on evolving methods for designing and analyzing diagnostic accuracy studies. Statistical Methods in Diagnostic Medicine, Second Edition continues to provide a comprehensive approach to the topic, guiding readers through the necessary practices for understanding these studies and generalizing the results to patient populations. Following a basic introduction to measuring test accuracy and study design, the authors successfully define various measures of diagnostic accuracy, describe strategies for designing diagnostic accuracy studies, and present key statistical methods for estimating and comparing test accuracy. Topics new to the Second Edition include: Methods for tests designed to detect and locate lesions Recommendations for covariate-adjustment Methods for estimating and comparing predictive values and sample size calculations Correcting techniques for verification and imperfect standard biases Sample size calculation for multiple reader studies when pilot data are available Updated meta-analysis methods, now incorporating random effects Three case studies thoroughly showcase some of the questions and statistical issues that arise in diagnostic medicine, with all associated data provided in detailed appendices. A related web site features Fortran, SAS®, and R software packages so that readers can conduct their own analyses. Statistical Methods in Diagnostic Medicine, Second Edition is an excellent supplement for biostatistics courses at the graduate level. It also serves as a valuable reference for clinicians and researchers working in the fields of medicine, epidemiology, and biostatistics.

Statistical Methods for Disease Clustering

Author : Toshiro Tango
Publisher : Springer Science & Business Media
ISBN 13 : 1441915729
Total Pages : 240 pages
Book Rating : 4.4/5 (419 download)

DOWNLOAD NOW!

Book Synopsis Statistical Methods for Disease Clustering by : Toshiro Tango

Download or read book Statistical Methods for Disease Clustering written by Toshiro Tango and published by Springer Science & Business Media. This book was released on 2010-01-09 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and graduate level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scien tists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Further more, the research area of statistical tests for disease clustering now attracts a wide audience due to the perceived need to implement wide ranging monitoring systems to detect possible health related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.

Modern Clinical Trial Analysis

Author : Wan Tang
Publisher : Springer Science & Business Media
ISBN 13 : 1461443229
Total Pages : 256 pages
Book Rating : 4.4/5 (614 download)

DOWNLOAD NOW!

Book Synopsis Modern Clinical Trial Analysis by : Wan Tang

Download or read book Modern Clinical Trial Analysis written by Wan Tang and published by Springer Science & Business Media. This book was released on 2012-09-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers classic as well as cutting-edge topics on the analysis of clinical trial data in biomedical and psychosocial research and discusses each topic in an expository and user-friendly fashion. The intent of the book is to provide an overview of the primary statistical and data analytic issues associated with each of the selected topics, followed by a discussion of approaches for tackling such issues and available software packages for carrying out analyses. While classic topics such as survival data analysis, analysis of diagnostic test data and assessment of measurement reliability are well known and covered in depth by available topic-specific texts, this volume serves a different purpose: it provides a quick introduction to each topic for self-learning, particularly for those who have not done any formal coursework on a given topic but must learn it due to its relevance to their multidisciplinary research. In addition, the chapters on these classic topics will reflect issues particularly relevant to modern clinical trials such as longitudinal designs and new methods for analyzing data from such study designs. The coverage of these topics provides a quick introduction to these important statistical issues and methods for addressing them. As with the classic topics, this part of the volume on modern topics will enable researchers to grasp the statistical methods for addressing these emerging issues underlying modern clinical trials and to apply them to their research studies.

Cell & Molecular Biology of Prostate Cancer

Author : Heide Schatten
Publisher : Springer
ISBN 13 : 3319956930
Total Pages : 135 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Cell & Molecular Biology of Prostate Cancer by : Heide Schatten

Download or read book Cell & Molecular Biology of Prostate Cancer written by Heide Schatten and published by Springer. This book was released on 2018-09-18 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers classic and modern cell and molecular biology of prostate cancer, as well as novel biomarkers, inflammation, centrosome pathologies, microRNAs, cancer initiation novel biomarkers, inflammation, centrosome pathologies, microRNAs, cancer initiation and genetics, epigenetics, mitochondrial dysfunctions and apoptosis, cancer stem cells, angiogenesis and progression to metastasis, and treatment strategies including clinical trials related to prostate cancer. Cell & Molecular Biology of Prostate Cancer is one of two companion books comprehensively addressing the biology and clinical aspects of prostate cancer. Prostate Cancer: Molecular & Diagnostic Imaging and Treatment Stategies, the companion volume, discusses both classic and the most recent imaging approaches including analysis of needle biopsies, applications of nanoparticle probes and peptide-based radiopharmaceuticals for detection, early diagnosis and treatment of prostate cancer. Taken together, these volumes form one comprehensive and invaluable contribution to the literature.

Statistical Evaluation of Diagnostic Performance

Author : Kelly H. Zou
Publisher : CRC Press
ISBN 13 : 1439812225
Total Pages : 249 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Statistical Evaluation of Diagnostic Performance by : Kelly H. Zou

Download or read book Statistical Evaluation of Diagnostic Performance written by Kelly H. Zou and published by CRC Press. This book was released on 2011-07-27 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents innovative approaches in ROC analysis, which are relevant to a wide variety of applications, including medical imaging, cancer research, epidemiology, and bioinformatics. Statistical Evaluation of Diagnostic Performance: Topics in ROC Analysis covers areas including monotone-transformation techniques in parametric ROC analysis, ROC methods for combined and pooled biomarkers, Bayesian hierarchical transformation models, sequential designs and inferences in the ROC setting, predictive modeling, multireader ROC analysis, and free-response ROC (FROC) methodology. The book is suitable for graduate-level students and researchers in statistics, biostatistics, epidemiology, public health, biomedical engineering, radiology, medical imaging, biomedical informatics, and other closely related fields. Additionally, clinical researchers and practicing statisticians in academia, industry, and government could benefit from the presentation of such important and yet frequently overlooked topics.

Cancer Diagnostics with DNA Microarrays

Author : Steen Knudsen
Publisher : John Wiley & Sons
ISBN 13 : 0470041099
Total Pages : 272 pages
Book Rating : 4.4/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Cancer Diagnostics with DNA Microarrays by : Steen Knudsen

Download or read book Cancer Diagnostics with DNA Microarrays written by Steen Knudsen and published by John Wiley & Sons. This book was released on 2006-11-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Authored by an international authority in the field,Cancer Diagnostics with DNA Microarrays is a complete reference work on the rapidly growing use of DNA microarray data in the diagnosis of and treatment planning for a large number of human cancers. Uniquely deals with direct clinical application of microarray data to oncology diagnosis, leading to more effective diagnosis of and clearer treatment regimens for a wide range of human cancers Offers clinicians summary presentation of state-of-the-art science of DNA microarrays Each chapter includes bibliographic and further reading suggestions Easily accessible, assuming no special training in statistics or bioinformatics Replete with examples and mini-cases, Cancer Diagnostics with DNA Microarrays offers cancer researchers in private, pharmacologic, and governmental institutions, biomedical statisticians, and practicing oncologists concise, thoughtfully authored guidance on the use of microarray data and analysis as clinical tools. The text carefully addresses the needs of end users – researchers and physicians – using microarrays as a tool to be applied in common clinical situations, and is of interest for students in medicine and biology and professionals in health care as well.

New Technologies in Cancer Diagnostics and Therapeutics

Author : Dong-Hua Yang
Publisher : Frontiers Media SA
ISBN 13 : 2889715248
Total Pages : 474 pages
Book Rating : 4.8/5 (897 download)

DOWNLOAD NOW!

Book Synopsis New Technologies in Cancer Diagnostics and Therapeutics by : Dong-Hua Yang

Download or read book New Technologies in Cancer Diagnostics and Therapeutics written by Dong-Hua Yang and published by Frontiers Media SA. This book was released on 2021-10-21 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Less Medicine, More Health

Author : Dr. H. Gilbert Welch
Publisher : Beacon Press
ISBN 13 : 0807077585
Total Pages : 242 pages
Book Rating : 4.8/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Less Medicine, More Health by : Dr. H. Gilbert Welch

Download or read book Less Medicine, More Health written by Dr. H. Gilbert Welch and published by Beacon Press. This book was released on 2016-03-01 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: A nationally recognized expert describes seven widespread assumptions that encourage excessive, ineffective, and sometimes harmful medical care—for readers of Overdiagnosed and Malcolm Gladwell You might think the biggest problem in medical care is that it costs too much. Or that health insurance is too expensive, too uneven, too complicated—and gives you too many forms to fill out. But the central problem is that too much medical care has too little value. Dr. H. Gilbert Welch is worried about too much medical care. He doesn’t deny that some people get too little medical care—rather that the conventional concern about “too little” needs to be balanced with a concern about “too much”: too many people being made to worry about diseases they don’t have and are at only average risk to get; too many people being tested and exposed to the harmful effects of the testing process; too many people being subjected to treatments they don’t need or can’t benefit from. The American public has been sold the idea that seeking medical care is one of the most important steps to maintain wellness. Surprisingly, medical care is not, in fact, well correlated with good health. More medicine does not equal more health; in reality the opposite may be true. In Less Medicine, More Health, Dr. Welch pushes against established wisdom and suggests that medical care can be too aggressive. Drawing on his twenty-five years of medical practice and research, he notes that while economics and lawyers contribute to the excesses of American medicine, the problem is essentially created when the general public clings to these powerful assumptions about the value of tests and treatments—a number of which are just plain wrong. By telling fascinating (and occasionally amusing) stories backed by reliable data, Dr. Welch challenges patients and the health-care establishment to rethink some very fundamental practices. His provocative prescriptions hold the potential to save money and, more important, improve health outcomes for us all.

Bayesian Biostatistics and Diagnostic Medicine

Author : Lyle D. Broemeling
Publisher : CRC Press
ISBN 13 : 1584887680
Total Pages : 214 pages
Book Rating : 4.5/5 (848 download)

DOWNLOAD NOW!

Book Synopsis Bayesian Biostatistics and Diagnostic Medicine by : Lyle D. Broemeling

Download or read book Bayesian Biostatistics and Diagnostic Medicine written by Lyle D. Broemeling and published by CRC Press. This book was released on 2007-07-12 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are numerous advantages to using Bayesian methods in diagnostic medicine, which is why they are employed more and more today in clinical studies. Exploring Bayesian statistics at an introductory level, Bayesian Biostatistics and Diagnostic Medicine illustrates how to apply these methods to solve important problems in medicine and biology.

Medical Statistics for Cancer Studies

Author : Trevor F. Cox
Publisher : CRC Press
ISBN 13 : 1000601102
Total Pages : 334 pages
Book Rating : 4.0/5 (6 download)

DOWNLOAD NOW!

Book Synopsis Medical Statistics for Cancer Studies by : Trevor F. Cox

Download or read book Medical Statistics for Cancer Studies written by Trevor F. Cox and published by CRC Press. This book was released on 2022-06-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a dreaded disease. One in two people will be diagnosed with cancer within their lifetime. Medical Statistics for Cancer Studies shows how cancer data can be analysed in a variety of ways, covering cancer clinical trial data, epidemiological data, biological data, and genetic data. It gives some background in cancer biology and genetics, followed by detailed overviews of survival analysis, clinical trials, regression analysis, epidemiology, meta-analysis, biomarkers, and cancer informatics. It includes lots of examples using real data from the author’s many years of experience working in a cancer clinical trials unit. Features: A broad and accessible overview of statistical methods in cancer research Necessary background in cancer biology and genetics Details of statistical methodology with minimal algebra Many examples using real data from cancer clinical trials Appendix giving statistics revision.