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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.
The outlook for women with breast cancer has improved in recent years. Due to the combination of improved treatments and the benefits of mammography screening, breast cancer mortality has decreased steadily since 1989. Yet breast cancer remains a major problem, second only to lung cancer as a leading cause of death from cancer for women. To date, no means to prevent breast cancer has been discovered and experience has shown that treatments are most effective when a cancer is detected early, before it has spread to other tissues. These two facts suggest that the most effective way to continue reducing the death toll from breast cancer is improved early detection and diagnosis. Building on the 2001 report Mammography and Beyond, this new book not only examines ways to improve implementation and use of new and current breast cancer detection technologies but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques. In this way, methods and technologies that improve detection and diagnosis can be more effectively developed and implemented.
This book describes statistical techniques for the design and evaluation of research studies on medical diagnostic tests, screening tests, biomarkers and new technologies for classification and prediction in medicine.
In the late 1980s, the National Cancer Institute initiated an investigation of cancer risks in populations near 52 commercial nuclear power plants and 10 Department of Energy nuclear facilities (including research and nuclear weapons production facilities and one reprocessing plant) in the United States. The results of the NCI investigation were used a primary resource for communicating with the public about the cancer risks near the nuclear facilities. However, this study is now over 20 years old. The U.S. Nuclear Regulatory Commission requested that the National Academy of Sciences provide an updated assessment of cancer risks in populations near USNRC-licensed nuclear facilities that utilize or process uranium for the production of electricity. Analysis of Cancer Risks in Populations near Nuclear Facilities: Phase 1 focuses on identifying scientifically sound approaches for carrying out an assessment of cancer risks associated with living near a nuclear facility, judgments about the strengths and weaknesses of various statistical power, ability to assess potential confounding factors, possible biases, and required effort. The results from this Phase 1 study will be used to inform the design of cancer risk assessment, which will be carried out in Phase 2. This report is beneficial for the general public, communities near nuclear facilities, stakeholders, healthcare providers, policy makers, state and local officials, community leaders, and the media.
This book provides an in-depth description and discussion of different multi-modal diagnostic techniques for cancer detection and treatment using exact optical methods, their comparison, and combination. Coverage includes detailed descriptions of modern state of design for novel methods of optical non-invasive cancer diagnostics; multi-modal methods for earlier cancer diagnostic enhancing the probability of effective cancer treatment; modern clinical trials with novel methods of clinical cancer diagnostics; medical and technical aspects of clinical cancer diagnostics, and long-term monitoring. Biomedical engineers, cancer researchers, and scientists will find the book to be an invaluable resource. Introduces optical imaging strategies; Focuses on multimodal optical diagnostics as a fundamental approach; Discusses novel methods of optical non-invasive cancer diagnostics.
This volume presents selected and peer-reviewed contributions from the 14th Workshop on Stochastic Models, Statistics and Their Applications, held in Dresden, Germany, on March 6-8, 2019. Addressing the needs of theoretical and applied researchers alike, the contributions provide an overview of the latest advances and trends in the areas of mathematical statistics and applied probability, and their applications to high-dimensional statistics, econometrics and time series analysis, statistics for stochastic processes, statistical machine learning, big data and data science, random matrix theory, quality control, change-point analysis and detection, finance, copulas, survival analysis and reliability, sequential experiments, empirical processes, and microsimulations. As the book demonstrates, stochastic models and related statistical procedures and algorithms are essential to more comprehensively understanding and solving present-day problems arising in e.g. the natural sciences, machine learning, data science, engineering, image analysis, genetics, econometrics and finance.
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.
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.
Cancer screening is a prominent strategy in cancer control in the United States, yet the ability to correctly interpret cancer screening data eludes many researchers, clinicians, and policy makers. This open access primer rectifies that situation by teaching readers, in simple language and with straightforward examples, why and how the population-level cancer burden changes when screening is implemented, and how we assess whether that change is of benefit. This book provides an in-depth look at the many aspects of cancer screening and its assessment, including screening phenomena, performance measures, population-level outcomes, research designs, and other important and timely topics. Concise, accessible, and focused, Assessment of Cancer Screening: A Primer is best suited to those with education or experience in clinical research or public health in the United States - no previous knowledge of cancer screening assessment is necessary. This is the first text dedicated to cancer screening theory and methodology to be published in 20 years.
The Manual of Clinical Oncology, Ninth Edition, published with the International Union Against Cancer (UICC), provides a concise, accessible and feasible reference covering state of art multidisciplinary clinical oncology in order to meet the needs of clinicians caring for cancer patients throughout the world. Edited by world-renowned practising oncologists and written by key opinion leaders, this book contains authoritative and up-to-date information on cancer detection, diagnosis and treatment alongside topics such as survivorship, special populations and palliative care. Remodelled and revised for the ninth edition to provide practical information to oncology workers, the UICC Manual of Clinical Oncology is structured in two parts. Part 1 covers general principles of cancer diagnosis and management with additional attention to special settings in oncology, including supportive care and survivorship, and Part 2 covers site-specific multidisciplinary cancer management. The edition includes up-to-date summaries of all treatment modalities (medical, surgical and radiation) for all tumour sites. It also contains the latest TNM classifications outlined in the TNM Classification of Malignant Tumours. The ninth edition includes: Practical presentation with bullet points, tables, and flow charts intended to facilitate quick reference for day-to-day clinical practice in busy oncology environments, Representation of multidisciplinary care for site specific management, Evidence-based approaches to management, including specific treatment recommendations and investigations guided by clinical practice guidelines, State of art evidence-based recommendations that take into consideration the lack of availability of certain medications or resources, as well as practice variations, in different and remote regions of the world, and Contemporary topics on cancer treatment, such as cancer informatics, evidence levels, principles of prognostication, survivorship and cancer in pregnancy. Oncologists, oncologists-in-training, nurses working with cancer patients and other health professionals responsible for treating and caring for those with cancers will find the UICC Manual of Clinical Oncology an indispensable and comprehensive resource.