Population based Cancer Survival Analysis

Population based Cancer Survival Analysis

This book is the first focused on this topic, and uses real data and software to illustrate the methods involved.

Author: Paul Dickman

Publisher: John Wiley & Sons Incorporated

ISBN: 0470028599

Category: Mathematics

Page: 320

View: 321

There has been increased interest in studying cancer patient survival in recent years, which has prompted advances in methods for estimating and modeling cancer patient survival. This book is the first focused on this topic, and uses real data and software to illustrate the methods involved. The supporting website provides code to enable readers to reproduce the analysis top illustrate the examples included in the book. The book presents methods for population-based cancer survival analysis, that is, the analysis of patient survival using data collected by population-based cancer registries. The primary focus will be on the statistical methods but non-statistical issues that arise in population-based studies of cancer patient survival, such as registration, coding and classification, and follow up procedures are also discussed.
Categories: Mathematics

Population Based Survival Analysis of Childhood Cancer

Population Based Survival Analysis of Childhood Cancer

Purpose: To assess the survival of children diagnosed with cancer between 1982 and 1988 using population based data.

Author: Paul J. Villeneuve

Publisher:

ISBN: OCLC:872441396

Category: Cancer

Page: 222

View: 515

Purpose: To assess the survival of children diagnosed with cancer between 1982 and 1988 using population based data.
Categories: Cancer

Cancer Survival in Africa Asia the Caribbean and Central America

Cancer Survival in Africa  Asia  the Caribbean and Central America

The striking inequalities in cancer survival between countries and within countries described in this volume are largely related to the differences in general awareness, availability of early detection practices, trained human resources, ...

Author: R. Sankaranarayanan

Publisher: World Health Organization

ISBN: 9283221621

Category: Medical

Page: 291

View: 940

Population-based cancer survival rates offer an important benchmark for measuring a health care system's overall effectiveness in the fight against cancer. While this type of information on high-resource countries is readily available, Cancer Survival in Africa, Asia, the Caribbean and Central America presents in-depth cancer survival data from 27 population-based cancer registries in 14 low- and middle-resource countries. The striking inequalities in cancer survival between countries and within countries described in this volume are largely related to the differences in general awareness, availability of early detection practices, trained human resources, diagnosis and treatment and the development and accessibility to cancer services, as well as, to a lesser extent, to issues of data quality and reliability. The differences in cancer survival reported in populations observed between and within countries studied in this volume provide valuable insights for future planning and investment by governments in primary prevention activities, early detection initiatives and tertiary care to achieve meaningful cancer control. The calendar period of registration of incident cases for the present study ranges between 1990 and 2001. Data on 564 606 cases of 1-56 cancer sites from different registries are reported. Data from eleven registries were utilized for eliciting survival trend and seventeen registries for reporting survival by clinical extent of disease. Besides chapters on every registry and general chapters on methodology, database and overview, the availability of online comparative statistics on cancer survival data by participating registries or cancer site in the form of tables or graphs is an added feature.
Categories: Medical

Survival Analysis

Survival Analysis

An excellent introduction for all those coming to the subject for the first time.New material has been added to the second edition and the original six chapters have been modified.The previous edition sold 9500 copies world wide since its ...

Author: David G. Kleinbaum

Publisher: Springer Science & Business Media

ISBN: 0387239189

Category: Science

Page: 590

View: 744

An excellent introduction for all those coming to the subject for the first time.New material has been added to the second edition and the original six chapters have been modified.The previous edition sold 9500 copies world wide since its release in 1996.Based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. Provides a "user-friendly" layout and includes numerous illustrations and exercises. Written in such a way so as to enable readers learn directly without the assistance of a classroom instructor. Throughout, there is an emphasis on presenting each new topic backed by real examples of a survival analysis investigation, followed up with thorough analyses of real data sets.
Categories: Science

Handbook of Survival Analysis

Handbook of Survival Analysis

Lambert, P. C., Thompson, J. R., Weston, C. L., and Dickman, P. W. (2007), 'Estimating and modeling the cure fraction in population-based cancer survival analysis', Biostatistics 8, 576–594. Law, N. J., Taylor, J. M. G. and Sandler, ...

Author: John P. Klein

Publisher: CRC Press

ISBN: 9781466555679

Category: Mathematics

Page: 656

View: 348

Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians
Categories: Mathematics

Real World Evidence in Drug Development and Evaluation

Real World Evidence in Drug Development and Evaluation

Estimating and modeling the cure fraction in population-based cancer survival analysis. Biostatistics, 8(3), 576–594. 39. Lambert, P.C., Dickman, P.W., Nelson, C.P., and Royston, P. 2010. Estimating the crude probability of death due to ...

Author: Harry Yang

Publisher: CRC Press

ISBN: 9780429676826

Category: Mathematics

Page: 208

View: 824

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business, regulatory, and healthcare decision making. Despite its many benefits, there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners, Real-World Evidence in Drug Development and Evaluation, presents a wide range of RWE applications throughout the lifecycle of drug product development. With contributions from experienced researchers in the pharmaceutical industry, the book discusses at length RWE opportunities, challenges, and solutions. Features Provides the first book and a single source of information on RWE in drug development Covers a broad array of topics on outcomes- and value-based RWE assessments Demonstrates proper Bayesian application and causal inference for real-world data (RWD) Presents real-world use cases to illustrate the use of advanced analytics and statistical methods to generate insights Offers a balanced discussion of practical RWE issues at hand and technical solutions suitable for practitioners with limited data science expertise
Categories: Mathematics

Cure Models

Cure Models

Population-based cancer survival is a key measure of cancer patient care and cancer treatment progress. ... Therefore, cause-specific survival is much less appealing in population-based cancer survival analysis.

Author: Yingwei Peng

Publisher: CRC Press

ISBN: 9780429629686

Category: Mathematics

Page: 268

View: 236

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis. The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include the foundation of statistical estimation and inference of cure models for independent and right-censored survival data, cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data, statistical testing for the existence and difference of cure rates and sufficient follow-up, new developments in Bayesian cure models, applications of cure models in public health research and clinical trials.
Categories: Mathematics

Issues in Cancer Epidemiology and Research 2011 Edition

Issues in Cancer Epidemiology and Research  2011 Edition

“Model-based projections were shown to be useful for deriving most up-to-date population-based cancer survival ... we compared the performance of model-based period and cohort analysis for predicting 5-year relative survival of patients ...

Author:

Publisher: ScholarlyEditions

ISBN: 9781464963537

Category: Medical

Page: 3510

View: 378

Issues in Cancer Epidemiology and Research / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Cancer Epidemiology and Research. The editors have built Issues in Cancer Epidemiology and Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Cancer Epidemiology and Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Cancer Epidemiology and Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Categories: Medical