Author: Craig Greenman
Publisher: Cambridge Scholars Publishing
ISBN: 1443807850
Category : Philosophy
Languages : en
Pages : 110
Book Description
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?”
Expression and Survival
Author: Craig Greenman
Publisher: Cambridge Scholars Publishing
ISBN: 1443807850
Category : Philosophy
Languages : en
Pages : 110
Book Description
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?”
Publisher: Cambridge Scholars Publishing
ISBN: 1443807850
Category : Philosophy
Languages : en
Pages : 110
Book Description
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
Author: Melinda Mills
Publisher: SAGE
ISBN: 1848601026
Category : Social Science
Languages : en
Pages : 301
Book Description
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.
Publisher: SAGE
ISBN: 1848601026
Category : Social Science
Languages : en
Pages : 301
Book Description
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
Author: Applied Research Applied Research Press
Publisher:
ISBN: 9781517392185
Category :
Languages : en
Pages : 44
Book Description
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.
Publisher:
ISBN: 9781517392185
Category :
Languages : en
Pages : 44
Book Description
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.
Cancer Patient Survival
Author: National Cancer Institute (U.S.)
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 322
Book Description
Publisher:
ISBN:
Category : Cancer
Languages : en
Pages : 322
Book Description
Survival Analysis
Author: David G. Kleinbaum
Publisher: Springer Science & Business Media
ISBN: 1475725558
Category : Medical
Languages : en
Pages : 332
Book Description
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.
Publisher: Springer Science & Business Media
ISBN: 1475725558
Category : Medical
Languages : en
Pages : 332
Book Description
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.
Feature Selection for High-Dimensional Data
Author: Verónica Bolón-Canedo
Publisher: Springer
ISBN: 3319218581
Category : Computers
Languages : en
Pages : 163
Book Description
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
Publisher: Springer
ISBN: 3319218581
Category : Computers
Languages : en
Pages : 163
Book Description
This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers. The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.
Implementing Reproducible Research
Author: Victoria Stodden
Publisher: CRC Press
ISBN: 1466561599
Category : Mathematics
Languages : en
Pages : 450
Book Description
In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.
Publisher: CRC Press
ISBN: 1466561599
Category : Mathematics
Languages : en
Pages : 450
Book Description
In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.
Survival Analysis with Python
Author: Avishek Nag
Publisher: CRC Press
ISBN: 1000520676
Category : Computers
Languages : en
Pages : 94
Book Description
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.
Publisher: CRC Press
ISBN: 1000520676
Category : Computers
Languages : en
Pages : 94
Book Description
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.
Survival of the Sickest LP
Author: Dr. Sharon Moalem
Publisher: Harper Collins
ISBN: 0061232963
Category : Medical
Languages : en
Pages : 370
Book Description
Was diabetes evolution's response to the last Ice Age? Did a deadly genetic disease help our ancestors survive the bubonic plagues of Europe? Will a visit to the tanning salon help lower your cholesterol? Why do we age? Why are some people immune to HIV? Can your genes be turned on—or off? Survival of the Sickest is fi lled with fascinating insights and cutting-edge research, presented in a way that is both accessible and utterly absorbing. This is a book about the interconnectedness of all life on earth—and especially what that means for us. Read it. You're already living it.
Publisher: Harper Collins
ISBN: 0061232963
Category : Medical
Languages : en
Pages : 370
Book Description
Was diabetes evolution's response to the last Ice Age? Did a deadly genetic disease help our ancestors survive the bubonic plagues of Europe? Will a visit to the tanning salon help lower your cholesterol? Why do we age? Why are some people immune to HIV? Can your genes be turned on—or off? Survival of the Sickest is fi lled with fascinating insights and cutting-edge research, presented in a way that is both accessible and utterly absorbing. This is a book about the interconnectedness of all life on earth—and especially what that means for us. Read it. You're already living it.
Survival Lessons
Author: Alice Hoffman
Publisher: Open Road Media
ISBN: 1504064542
Category : Body, Mind & Spirit
Languages : en
Pages : 75
Book Description
The New York Times–bestselling author and cancer survivor tells how to hold on to joy in times of sorrow in this “absolutely beautiful book” (Sue Monk Kidd). The prize-winning author of such modern literary classics as Practical Magic, The World That We Knew, and The Marriage of Opposites, Alice Hoffman is also a cancer survivor. In Survival Lessons, she shares her transformative journey, showing us how to re-envision our own lives and relationships with our friends and family, and the significance of the everyday choices we make. Sorrow and joy are both part of the human experience, and the beauty of the world is easy to overlook during periods of crisis, illness, or loss. Here, Hoffman offers wit, wisdom, and comfort in “an optimistic instruction manual [for] anyone struggling with self-care in a time of trouble” (Story Circle Book Reviews). “In this gem of a book, Alice Hoffman acknowledges the sorrows of life, while reminding us of its joys. Survival Lessons is filled with love, insight, and lots of practical advice—including a crazy-good brownie recipe.” —Will Schwalbe, New York Times–bestselling author of The End of Your Life Book Club “Hoffman’s storytelling artistry enlivens each intimate, thoughtfully distilled, charming, and nurturing lesson in living.” —Booklist “[Survival Lessons] is not about [Hoffman’s] breast cancer per se but about making choices that will improve readers’ lives and relationships and remind them ‘of the beauty of life.’” —Library Journal “Full of smart intentions and kind reminders . . . Uplifting advice we’ll gladly take.” —Better Homes & Gardens
Publisher: Open Road Media
ISBN: 1504064542
Category : Body, Mind & Spirit
Languages : en
Pages : 75
Book Description
The New York Times–bestselling author and cancer survivor tells how to hold on to joy in times of sorrow in this “absolutely beautiful book” (Sue Monk Kidd). The prize-winning author of such modern literary classics as Practical Magic, The World That We Knew, and The Marriage of Opposites, Alice Hoffman is also a cancer survivor. In Survival Lessons, she shares her transformative journey, showing us how to re-envision our own lives and relationships with our friends and family, and the significance of the everyday choices we make. Sorrow and joy are both part of the human experience, and the beauty of the world is easy to overlook during periods of crisis, illness, or loss. Here, Hoffman offers wit, wisdom, and comfort in “an optimistic instruction manual [for] anyone struggling with self-care in a time of trouble” (Story Circle Book Reviews). “In this gem of a book, Alice Hoffman acknowledges the sorrows of life, while reminding us of its joys. Survival Lessons is filled with love, insight, and lots of practical advice—including a crazy-good brownie recipe.” —Will Schwalbe, New York Times–bestselling author of The End of Your Life Book Club “Hoffman’s storytelling artistry enlivens each intimate, thoughtfully distilled, charming, and nurturing lesson in living.” —Booklist “[Survival Lessons] is not about [Hoffman’s] breast cancer per se but about making choices that will improve readers’ lives and relationships and remind them ‘of the beauty of life.’” —Library Journal “Full of smart intentions and kind reminders . . . Uplifting advice we’ll gladly take.” —Better Homes & Gardens