Download or read book The Analysis of Case control Studies written by Norman E. Breslow and published by . This book was released on 1980 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Design and Analysis of Cohort Studies written by Norman E. Breslow and published by . This book was released on 1987 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Cancer Registration written by Ole Møller Jensen and published by IARC. This book was released on 1991 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data obtained by population based cancer registries have a pivotal role in cancer control. Now also available in Spanish and French, this volume, which contains 15 authored chapters and four useful appendices, remains a standard reference for those planning to establish new cancer registries and those keen to adopt recognized methodologies. Information is given on the techniques required to collect, store, analyse and interpret data.
Download or read book Cancer Epidemiology written by Isabel dos Santos Silva and published by IARC. This book was released on 1999 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: A basic textbook addressed to medical and public health students, clinicians, health professionals, and all others seeking to understand the principles and methods used in cancer epidemiology. Written by a prominent epidemiologist and experienced teacher at the London School of Hygiene and Tropical Medicine, the text aims to help readers become competent in the use of basic epidemiological tools and capable of exercising critical judgment when assessing results reported by others. Throughout the text, a lively writing style and numerous illustrative examples, often using real research data, facilitate an easy understanding of basic concepts and methods. Information ranges from an entertaining account of the origins of epidemiology, through advice on how to overcome some of the limitations of survival analysis, to a checklist of questions to ask when considering sources of bias. Although statistical concepts and formulae are presented, the emphasis is consistently on the interpretation of the data rather than on the actual calculations. The text has 18 chapters. The first six introduce the basic principles of epidemiology and statistics. Chapters 7-13 deal in more depth with each of the study designs and interpretation of their findings. Two chapters, concerned with the problems of confounding and study size, cover more complex statistical concepts and are included for advanced study. A chapter on methodological issues in cancer prevention gives examples of epidemiology's contribution to primary prevention, screening and other activities for early detection, and tertiary prevention. The concluding chapters review the role of cancer registries and discuss practical considerations that should be taken into account in the design, planning, and conduct of any type of epidemiological research.
Download or read book Protocol Handbook for Cancer Biology written by Gauri Misra and published by Academic Press. This book was released on 2021-02-12 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully. Presents comprehensive protocols used for cancer assessment, diagnostics, and therapeutics all in one place Encompasses alternative strategies considering the requirements of the end user and taking into consideration diverse research settings Discusses limitations and advantages of each method in experimental design and execution, thus saving time during the research process
Download or read book Spheroids in Cancer Research written by H. Acker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Malignant growth of cells is often characterized by disorganization of tissue structure, abnormal blood vessel development, and insuffi cient vascular supply. As a consequence, the cancer cells grow in a three-dimensional pattern in atypical microenvironments which include physical, chemical, and nutritional stresses. Necrosis often develops some distance away from the blood vessels. In association with an inherent instability in malignant cell populations, and also because of the changing micromilieu, significant cellular heteroge neity emerges with regard to various phenotypic characteristics. Both biological behavior and responses to therapeutic agents can be affected. A variety of in vitro and in vivo experimental models exist for research on properties of cancer cells during growth. The multicell spheroid model was developed as a system of intermediate complexity in which three dimensional growth of cells enhances cell-cell interactions and creates micro environments that simulate the conditions in intervascular microregions of tumors or microme tastatic foci. Spheroids may change their cellular characteristics with changing environments during growth. These can be studied under controlled conditions in vitro. Interest in details of experimental methods for this model system stimulated the organization of the First International Conference in Rochester, NY in 1980, the Proceedings of which were summarized in Cancer Research in 1981. Since then there has been a rapid increase in the use of this model system, and increased research on the significance of cell-cell and cell-microenvironment interactions in biology in general.
Download or read book Methods and Biostatistics in Oncology written by Raphael. L.C Araújo and published by Springer. This book was released on 2018-04-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and discusses the most important aspects of clinical research methods and biostatistics for oncologists, pursuing a tailor-made and practical approach. Evidence-based medicine (EBM) has been in vogue in the last few decades, particularly in rapidly advancing fields such as oncology. This approach has been used to support decision-making processes worldwide, sparking new clinical research and guidelines on clinical and surgical oncology. Clinical oncology research has many peculiarities, including specific study endpoints, a special focus on survival analyses, and a unique perspective on EBM. However, during medical studies and in general practice, these topics are barely taught. Moreover, even when EBM and clinical cancer research are discussed, they are presented in a theoretical fashion, mostly focused on formulas and numbers, rather than on clinical application for a proper literature appraisal. Addressing that gap, this book discusses more practical aspects of clinical research and biostatistics in oncology, instead of relying only on mathematical formulas and theoretical considerations. Methods and Biostatistics in Oncology will help readers develop the skills they need to understand the use of research on everyday oncology clinical practice for study design and interpretation, as well to demystify the use of EBM in oncology.
Download or read book Statistical Methods in Cancer Research Volume 2 The Design and Analysis of Cohort Studies written by Norman E. Breslow and published by . This book was released on 1987 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Methods in Mammary Gland Biology and Breast Cancer Research written by Margot M. Ip and published by Springer Science & Business Media. This book was released on 2000-12-31 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a bench manual that provides in one volume all theimportant and unique technologies necessary to studies of mammarygland biology and breast cancer. The chapters are written by expertsin each area with an emphasis on nitty-gritty details that are keypoints for the successful use of a method. Sections include "in""vivo" model systems, special techniques for "in vivo"studies, "in vitro" model systems, and molecular analysis and genetransfer techniques.
Download or read book Methods in Cancer Research written by Elsevier Science & Technology Books and published by . This book was released on 1976-01-01 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods in Cancer Research The analysis of case control studies written by Norman E. Breslow and published by . This book was released on 1980 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods in Cancer Research V 1 the Analysis of Case Control Studies written by International Agency for Research on Cancer and published by . This book was released on 1979 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Statistical Methods in Cancer Research written by N. E. Breslow and published by . This book was released on 1980 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: Together with Volume I, this work provides a comprehensive account of the major types of studies in cancer epidemiology. Its scope ranges from an account of elementary and descriptive cohort analyses to the fitting of regression models for incidence rates with general risk functions. Particular attention is given to the use of a case-control approach embedded in a cohort study. As in the first volume, all methods are illustrated by examples from real studies, and the data are appended to the text, enabling readers to rework the computations.
Download or read book Assessment of Cancer Screening written by Pamela M. Marcus and published by Springer Nature. This book was released on 2022 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’
Download or read book High Dimensional Data Analysis in Cancer Research written by Xiaochun Li and published by Springer Science & Business Media. This book was released on 2008-12-19 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.
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.
