Cure Models

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Cure Models

Author : Yingwei Peng,Binbing Yu
Publisher : CRC Press
Page : 268 pages
File Size : 55,8 Mb
Release : 2021-03-22
Category : Mathematics
ISBN : 9780429629686

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Cure Models by Yingwei Peng,Binbing Yu Pdf

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.

Bayesian Survival Analysis

Author : Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 49,6 Mb
Release : 2013-03-09
Category : Medical
ISBN : 9781475734478

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Bayesian Survival Analysis by Joseph G. Ibrahim,Ming-Hui Chen,Debajyoti Sinha Pdf

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Handbook of Survival Analysis

Author : John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike
Publisher : CRC Press
Page : 635 pages
File Size : 49,6 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 9781466555679

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Handbook of Survival Analysis by John P. Klein,Hans C. van Houwelingen,Joseph G. Ibrahim,Thomas H. Scheike Pdf

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

Advanced Survival Models

Author : Catherine Legrand
Publisher : CRC Press
Page : 361 pages
File Size : 54,7 Mb
Release : 2021-03-22
Category : Mathematics
ISBN : 9780429622557

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Advanced Survival Models by Catherine Legrand Pdf

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of "classical" survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome. Features Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome Uses consistent notation throughout the book for the different techniques presented Explains in which situation each of these models should be used, and how they are linked to specific research questions Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.

Brilliant Business Models in Healthcare

Author : Jeroen Kemperman,Jeroen Geelhoed,Jennifer op ‘t Hoog
Publisher : Springer
Page : 429 pages
File Size : 52,7 Mb
Release : 2016-11-18
Category : Medical
ISBN : 9783319264400

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Brilliant Business Models in Healthcare by Jeroen Kemperman,Jeroen Geelhoed,Jennifer op ‘t Hoog Pdf

This exciting resource examines pioneering, successful business models in healthcare services, emphasizing bold and innovative entrepreneurship in creating care delivery that is accessible, affordable, and effective. Expert contributors supply fascinating case studies of visionary principles at work in hospitals, specialist care, eHealth providers, and insurers along with practical guidance on building and sustaining a vision, a brand, an organization, and a loyal base of clients, employees, and investors. Featured companies demonstrate how moving beyond conventional patient/provider, service/cost, and other relationships can translate into improvements that benefit clients’ health and stakeholders’ bottom line as well as the larger community and potentially the world. Coverage analyzes key attributes of these successful entities, detailing key challenges, funding issues, and especially breakthrough goals, including: Strengthening mutual caring and sharing. Letting prevention and self-management work. Patient-centered organization of information and everyday care. Deploying services and instruments to help customers take control. Implementing differentiation in specialized healthcare. The result is crucial takeaways for creating transformational business models in health fields. Approachably written and brimming with infographics, Brilliant Business Models in Healthcare provides inspiring role models for entrepreneurs, managers, consultants, and professionals in the healthcare sector, including providers, insurers, technology suppliers, and pharmacists.

Mohs Micrographic Surgery

Author : Stephen N. Snow,George R. Mikhail
Publisher : Univ of Wisconsin Press
Page : 464 pages
File Size : 52,9 Mb
Release : 2004
Category : Mohs surgery
ISBN : 0299204707

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Mohs Micrographic Surgery by Stephen N. Snow,George R. Mikhail Pdf

Mohs Micrographic Surgery, an advanced treatment procedure for skin cancer, offers the highest potential for recovery--even if the skin cancer has been previously treated. This procedure is a state-of-the-art treatment in which the physician serves as surgeon, pathologist, and reconstructive surgeon. It relies on the accuracy of a microscope to trace and ensure removal of skin cancer down to its roots. This procedure allows dermatologists trained in Mohs Surgery to see beyond the visible disease and to precisely identify and remove the entire tumor, leaving healthy tissue unharmed. This procedure is most often used in treating two of the most common forms of skin cancer: basal cell carcinoma and squamous cell carcinoma. The cure rate for Mohs Micrographic Surgery is the highest of all treatments for skin cancer--up to 99 percent even if other forms of treatment have failed. This procedure, the most exact and precise method of tumor removal, minimizes the chance of regrowth and lessens the potential for scarring or disfigurement

Frailty Models in Survival Analysis

Author : Andreas Wienke
Publisher : CRC Press
Page : 324 pages
File Size : 55,9 Mb
Release : 2010-07-26
Category : Mathematics
ISBN : 1420073915

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Frailty Models in Survival Analysis by Andreas Wienke Pdf

The concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. Frailty Models in Survival Analysis presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models.

The Frailty Model

Author : Luc Duchateau,Paul Janssen
Publisher : Springer Science & Business Media
Page : 316 pages
File Size : 40,7 Mb
Release : 2007-10-23
Category : Mathematics
ISBN : 9780387728353

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The Frailty Model by Luc Duchateau,Paul Janssen Pdf

Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.

Joint Models for Longitudinal and Time-to-Event Data

Author : Dimitris Rizopoulos
Publisher : CRC Press
Page : 279 pages
File Size : 40,8 Mb
Release : 2012-06-22
Category : Mathematics
ISBN : 9781439872864

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Joint Models for Longitudinal and Time-to-Event Data by Dimitris Rizopoulos Pdf

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author. All the R code used in the book is available at: http://jmr.r-forge.r-project.org/

Population-based Cancer Survival Analysis

Author : Paul W. Dickman,Paul C. Lambert,Timo Hakulinen
Publisher : Wiley
Page : 0 pages
File Size : 41,5 Mb
Release : 2022-12-27
Category : Mathematics
ISBN : 0470028599

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Population-based Cancer Survival Analysis by Paul W. Dickman,Paul C. Lambert,Timo Hakulinen Pdf

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.

Statistical Methods for Survival Trial Design

Author : Jianrong Wu
Publisher : CRC Press
Page : 243 pages
File Size : 50,6 Mb
Release : 2018-06-14
Category : Mathematics
ISBN : 9780429892936

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Statistical Methods for Survival Trial Design by Jianrong Wu Pdf

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the principles of designing and monitoring cancer clinical trials in which time-to-event is the primary endpoint. Traditional cancer trial designs with time-to-event endpoints are often limited to the exponential model or proportional hazards model. In practice, however, those model assumptions may not be satisfied for long-term survival trials. This book is the first to cover comprehensively the many newly developed methodologies for survival trial design, including trial design under the Weibull survival models; extensions of the sample size calculations under the proportional hazard models; and trial design under mixture cure models, complex survival models, Cox regression models, and competing-risk models. A general sequential procedure based on the sequential conditional probability ratio test is also implemented for survival trial monitoring. All methodologies are presented with sufficient detail for interested researchers or graduate students.

Textbook of Clinical Trials in Oncology

Author : Susan Halabi,Stefan Michiels
Publisher : CRC Press
Page : 701 pages
File Size : 53,7 Mb
Release : 2019-04-24
Category : Medical
ISBN : 9781351620963

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Textbook of Clinical Trials in Oncology by Susan Halabi,Stefan Michiels Pdf

There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology. Key Features: Cutting-edge topics with appropriate technical background Built around case studies which give the work a "hands-on" approach Real examples of flaws in previously reported clinical trials and how to avoid them Access to statistical code on the book’s website Chapters written by internationally recognized statisticians from academia and pharmaceutical companies Carefully edited to ensure consistency in style, level, and approach Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others

Bayesian Mediation Analysis using R

Author : Atanu Bhattacharjee
Publisher : CRC Press
Page : 169 pages
File Size : 47,5 Mb
Release : 2024-07-04
Category : Mathematics
ISBN : 9781040009437

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Bayesian Mediation Analysis using R by Atanu Bhattacharjee Pdf

Delve into the realm of statistical methodology for mediation analysis with a Bayesian perspective in high dimensional data through this comprehensive guide. Focused on various forms of time-to-event data methodologies, this book helps readers master the application of Bayesian mediation analysis using R. Across ten chapters, this book explores concepts of mediation analysis, survival analysis, accelerated failure time modeling, longitudinal data analysis, and competing risk modeling. Each chapter progressively unravels intricate topics, from the foundations of Bayesian approaches to advanced techniques like variable selection, bivariate survival models, and Dirichlet process priors. With practical examples and step-by-step guidance, this book empowers readers to navigate the intricate landscape of high-dimensional data analysis, fostering a deep understanding of its applications and significance in diverse fields.

HCV: The Journey from Discovery to a Cure

Author : Michael J. Sofia
Publisher : Springer Nature
Page : 457 pages
File Size : 53,6 Mb
Release : 2019-11-23
Category : Science
ISBN : 9783030282073

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HCV: The Journey from Discovery to a Cure by Michael J. Sofia Pdf

Hepatitis C is a liver disease caused by the hepatitis C virus (HCV) and infects approximately 75 million individuals worldwide. It is also one of the major causes of liver cancer and liver transplants. The elucidation of the HCV genome, and the development of a whole cell system to study the virus spurred the search for novel direct acting antiviral drugs to cure this disease. This global effort culminated in the development of direct acting antiviral drugs that led to cure rates approaching 100% in all patient populations after only 8-12 weeks of therapy. These efforts resulted in one of the greatest achievements in public health and provides the potential for eliminating HCV as a major disease worldwide. This volume is aimed at a broad audience of academic and industrial scientists interested in the discovery and development of drugs to treat viral diseases and those interested in reading about one of the most unique accomplishments in biomedical research. The volume will provide a one of a kind reference work that highlights the many efforts, from the discovery of the HCV virus, to the invention of breakthrough medicines and their use in the real world to cure patients. It is the companion book to the volume "HCV: The Journey from Discovery to a Cure - Volume II".

HIV Vaccines and Cure

Author : Linqi Zhang,Sharon R. Lewin
Publisher : Springer
Page : 318 pages
File Size : 40,7 Mb
Release : 2018-07-20
Category : Medical
ISBN : 9789811304842

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HIV Vaccines and Cure by Linqi Zhang,Sharon R. Lewin Pdf

This book provides a comprehensive review of the major barriers to HIV cure and vaccine. It covers the fundamental virology and immunology leading to HIV transmission, protection from infection and long term HIV persistence on antiretroviral therapy. In addition, strategies being tested to eliminate persistent HIV and the rational design of vaccines to induce protective immunity are covered. This book also discusses the challenges related to the design of clinical trials for testing the safety and efficacy of these innovative approaches. This book will provide a systematic overview and also discuss controversial issues for researchers in virology and immunology, as well as practicing physicians, and scientists in the pharmaceutical industry.