Expression and Survival

2009-03-26
Expression and Survival
Author: Craig Greenman
Publisher: Cambridge Scholars Publishing
Total Pages: 110
Release: 2009-03-26
Genre: Philosophy
ISBN: 1443807850
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Philosophers know suicide primarily as an ethical problem. But in Expression and Survival, Craig Greenman argues that, when it comes to suicide, the standard ethical approach may do more harm than good. He develops instead an aesthetic approach, arguing that art–making it or experiencing it–can help a suicidal person survive. Drawing on the work of philosophers and artists, as well as his own experiences, Greenman guides the reader through the landscape to which many suicidal people feel condemned. He traces the problem back to antagonism–we harm others and they harm us–and argues that art, broadly construed, can help us survive it. The result will be of interest to ethicists, aestheticians, social and political philosophers, therapists, and anyone who has ever struggled with suicide. Also included in this volume are two essays, “Writing and Ambivalence” and “What Is Philosophy?”

Introducing Survival and Event History Analysis

2011-01-19
Introducing Survival and Event History Analysis
Author: Melinda Mills
Publisher: SAGE
Total Pages: 301
Release: 2011-01-19
Genre: Social Science
ISBN: 1848601026
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This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences. Written for accessibility, this book will appeal to students and researchers who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ‘hands-on’ exercises, conversations with key scholars and resources for both students and instructors, this text allows researchers to quickly master advanced statistical techniques. It is written from the perspective of the ‘user’, making it suitable as both a self-learning tool and graduate-level textbook. Also included are up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.

RSEM: Accurate Transcript Quantification from RNA-Seq Data with Or Without a Reference Genome

2015-09-16
RSEM: Accurate Transcript Quantification from RNA-Seq Data with Or Without a Reference Genome
Author: Applied Research Applied Research Press
Publisher:
Total Pages: 44
Release: 2015-09-16
Genre:
ISBN: 9781517392185
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RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue is particularly important for quantification with de novo transcriptome assemblies in the absence of sequenced genomes, as it is difficult to determine which transcripts are isoforms of the same gene. A second significant issue is the design of RNA-Seq experiments, in terms of the number of reads, read length, and whether reads come from one or both ends of cDNA fragments. RSEM is an accurate and user-friendly software tool for quantifying transcript abundances from RNA-Seq data. As it does not rely on the existence of a reference genome, it is particularly useful for quantification with de novo transcriptome assemblies. In addition, RSEM has enabled valuable guidance for cost-efficient design of quantification experiments with RNA-Seq, which is currently relatively expensive.

Survival Analysis

2013-04-18
Survival Analysis
Author: David G. Kleinbaum
Publisher: Springer Science & Business Media
Total Pages: 332
Release: 2013-04-18
Genre: Medical
ISBN: 1475725558
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A straightforward and easy-to-follow introduction to the main concepts and techniques of the subject. It is based on numerous courses given by the author to students and researchers in the health sciences and is written with such readers in mind. A "user-friendly" layout includes numerous illustrations and exercises and the book is 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. Each chapter concludes with practice exercises to help readers reinforce their understanding of the concepts covered, before going on to a more comprehensive test. Answers to both are included. Readers will enjoy David Kleinbaums style of presentation, making this an excellent introduction for all those coming to the subject for the first time.

Modelling Survival Data in Medical Research

1993
Modelling Survival Data in Medical Research
Author: David Collett
Publisher:
Total Pages: 368
Release: 1993
Genre: Clinical trials
ISBN: 9780429258374
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Data collected on the time to an event-such as the death of a patient in a medical study-is known as survival data. The methods for analyzing survival data can also be used to analyze data on the time to events such as the recurrence of a disease or relief from symptoms. Modelling Survival Data in Medical Research begins with an introduction to survival analysis and a description of four studies in which survival data was obtained. These and other data sets are then used to illustrate the techniques presented in the following chapters, including the Cox and Weibull proportional hazards models; accelerated failure time models; models with time-dependent variables; interval-censored survival data; model checking; and use of statistical packages. Designed for statisticians in the pharmaceutical industry and medical research institutes, and for numerate scientists and clinicians analyzing their own data sets, this book also meets the need for an intermediate text which emphasizes the application of the methodology to survival data arising from medical studies.

Survival Analysis with Python

2021-12-17
Survival Analysis with Python
Author: Avishek Nag
Publisher: CRC Press
Total Pages: 94
Release: 2021-12-17
Genre: Computers
ISBN: 1000520676
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Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis. It then delves into Parametric models with coverage of Concept of maximum likelihood estimate (MLE) of a probability distribution parameter MLE of the survival function Common probability distributions and their analysis Analysis of exponential distribution as a survival function Analysis of Weibull distribution as a survival function Derivation of Gumbel distribution as a survival function from Weibull Non-parametric models including Kaplan–Meier (KM) estimator, a derivation of expression using MLE Fitting KM estimator with an example dataset, Python code and plotting curves Greenwood’s formula and its derivation Models with covariates explaining The concept of time shift and the accelerated failure time (AFT) model Weibull-AFT model and derivation of parameters by MLE Proportional Hazard (PH) model Cox-PH model and Breslow’s method Significance of covariates Selection of covariates The Python lifelines library is used for coding examples. By mapping theory to practical examples featuring datasets, this book is a hands-on tutorial as well as a handy reference.

HER2-Positive Breast Cancer

2018-07-26
HER2-Positive Breast Cancer
Author: Sara Hurvitz
Publisher: Elsevier Health Sciences
Total Pages: 265
Release: 2018-07-26
Genre: Medical
ISBN: 0323581234
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Get a quick, expert overview of clinically-focused topics and guidelines that are relevant to testing for HER2, which contributes to approximately 25% of breast cancers today. This concise resource by Drs. Sara Hurvitz, and Kelly McCann consolidates today's available information on this growing topic into one convenient resource, making it an ideal, easy-to-digest reference for practicing and trainee oncologists. - Covers the diagnosis, treatments and targeted therapies, and management of breast cancers that are HER2-positive. - Contains sections on background and testing, advanced disease, therapeutics, and toxicity considerations. - Includes a timely section on innovative future therapies.

Guidelines for the Care and Use of Mammals in Neuroscience and Behavioral Research

2003-08-22
Guidelines for the Care and Use of Mammals in Neuroscience and Behavioral Research
Author: National Research Council
Publisher: National Academies Press
Total Pages: 223
Release: 2003-08-22
Genre: Science
ISBN: 030916785X
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Expanding on the National Research Council's Guide for the Care and Use of Laboratory Animals, this book deals specifically with mammals in neuroscience and behavioral research laboratories. It offers flexible guidelines for the care of these animals, and guidance on adapting these guidelines to various situations without hindering the research process. Guidelines for the Care and Use of Mammals in Neuroscience and Behavioral Research offers a more in-depth treatment of concerns specific to these disciplines than any previous guide on animal care and use. It treats on such important subjects as: The important role that the researcher and veterinarian play in developing animal protocols. Methods for assessing and ensuring an animal's well-being. General animal-care elements as they apply to neuroscience and behavioral research, and common animal welfare challenges this research can pose. The use of professional judgment and careful interpretation of regulations and guidelines to develop performance standards ensuring animal well-being and high-quality research. Guidelines for the Care and Use of Mammals in Neuroscience and Behavioral Research treats the development and evaluation of animal-use protocols as a decision-making process, not just a decision. To this end, it presents the most current, in-depth information about the best practices for animal care and use, as they pertain to the intricacies of neuroscience and behavioral research.