Author : Joan Berzoff
Publisher : Jason Aronson
Page : 482 pages
File Size : 28,37 MB
Release : 2008
Category : Psychology
ISBN : 9780765704313
With its simple, respectful, user-friendly tone, the first edition of Inside Out and Outside In quickly became a beloved book among mental health practitioners in a variety of disciplines. The second edition continues in this tradition with chapters revised to reflect the most current theory and clinical practice. In addition, it offers exciting new chapters, on attachment, relational, and intersubjective theories, respectively, as well as on trauma.
Author : Jeffrey Strickland
Publisher : Lulu.com
Page : 312 pages
File Size : 35,34 MB
Release : 2017-03-13
Category : Business & Economics
ISBN : 1365819159
If you have a yes or no question, then you can probably answer it with a logistic regression model. Logistic regression is most appropriate when the dependent variable has two possible outcomes. Will customers respond to an offer or unsubscribe, will the enemy fight or flee, will subjects respond to treatment or grow ill, will livestock live or die? Yes or no? I am often asked if logistic regression is a machine learning algorithm. I say that it is not, for I can formulate it mathematically and solve it using matrix equations, for example. Its solution is derived deterministically, and estimation is performed mathematically, through optimization methods. The logit link functionis the mathematical expression-a nonlinear, exponential equation, and we transform it to a linear equation by applying the natural logarithm. Here we find mathematical modeling, probability, and statistics. Here I will take you on a journey into the art and science of predictive modeling using logistic regression, inside-and-out.
Author : Iain Pardoe
Publisher : John Wiley & Sons
Page : 319 pages
File Size : 15,97 MB
Release : 2013-01-07
Category : Mathematics
ISBN : 1118345045
Praise for the First Edition "The attention to detail is impressive. The book is very well written and the author is extremely careful with his descriptions . . . the examples are wonderful." —The American Statistician Fully revised to reflect the latest methodologies and emerging applications, Applied Regression Modeling, Second Edition continues to highlight the benefits of statistical methods, specifically regression analysis and modeling, for understanding, analyzing, and interpreting multivariate data in business, science, and social science applications. The author utilizes a bounty of real-life examples, case studies, illustrations, and graphics to introduce readers to the world of regression analysis using various software packages, including R, SPSS, Minitab, SAS, JMP, and S-PLUS. In a clear and careful writing style, the book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, and Bayesian modeling. In addition, the Second Edition features clarification and expansion of challenging topics, such as: Transformations, indicator variables, and interaction Testing model assumptions Nonconstant variance Autocorrelation Variable selection methods Model building and graphical interpretation Throughout the book, datasets and examples have been updated and additional problems are included at the end of each chapter, allowing readers to test their comprehension of the presented material. In addition, a related website features the book's datasets, presentation slides, detailed statistical software instructions, and learning resources including additional problems and instructional videos. With an intuitive approach that is not heavy on mathematical detail, Applied Regression Modeling, Second Edition is an excellent book for courses on statistical regression analysis at the upper-undergraduate and graduate level. The book also serves as a valuable resource for professionals and researchers who utilize statistical methods for decision-making in their everyday work.
Author : Andrew Gelman
Publisher : Cambridge University Press
Page : 551 pages
File Size : 25,94 MB
Release : 2021
Category : Business & Economics
ISBN : 110702398X
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Author : Antonio Luchicchi
Publisher : Frontiers Media SA
Page : 110 pages
File Size : 14,14 MB
Release : 2021-04-12
Category : Science
ISBN : 288966693X
Topic Editor Paolo Preziosa received speaker honoraria from Biogen Idec, Novartis, Merck Serono and ExceMED. The rest of Topic Editors declare no competing interests with regards to the Research Topic.
Author : David W. Hosmer, Jr.
Publisher : John Wiley & Sons
Page : 285 pages
File Size : 28,24 MB
Release : 2011-09-23
Category : Mathematics
ISBN : 1118211588
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research. This book places a unique emphasis on the practical and contemporary applications of regression modeling rather than the mathematical theory. It offers a clear and accessible presentation of modern modeling techniques supplemented with real-world examples and case studies. Key topics covered include: variable selection, identification of the scale of continuous covariates, the role of interactions in the model, assessment of fit and model assumptions, regression diagnostics, recurrent event models, frailty models, additive models, competing risk models, and missing data. Features of the Second Edition include: Expanded coverage of interactions and the covariate-adjusted survival functions The use of the Worchester Heart Attack Study as the main modeling data set for illustrating discussed concepts and techniques New discussion of variable selection with multivariable fractional polynomials Further exploration of time-varying covariates, complex with examples Additional treatment of the exponential, Weibull, and log-logistic parametric regression models Increased emphasis on interpreting and using results as well as utilizing multiple imputation methods to analyze data with missing values New examples and exercises at the end of each chapter Analyses throughout the text are performed using Stata® Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a valuable reference for practitioners and researchers in any health-related field or for professionals in insurance and government.
Author : Claire Lerner
Publisher : Rowman & Littlefield
Page : 219 pages
File Size : 29,55 MB
Release : 2021-09-02
Category : Family & Relationships
ISBN : 153814901X
Solve toddler challenges with eight key mindshifts that will help you parent with clarity, calmness, and self-control. In Why is My Child in Charge?, Claire Lerner shows how making critical mindshifts—seeing children’s behaviors through a new lens —empowers parents to solve their most vexing childrearing challenges. Using real life stories, Lerner unpacks the individualized process she guides parents through to settle common challenges, such as throwing tantrums in public, delaying bedtime for hours, refusing to participate in family mealtimes, and resisting potty training. Lerner then provides readers with a roadmap for how to recognize the root cause of their child’s behavior and how to create and implement an action plan tailored to the unique needs of each child and family. Why is My Child in Charge? is like having a child development specialist in your home. It shows how parents can develop proven, practical strategies that translate into adaptable, happy kids and calm, connected, in-control parents.
Author : Lorenzo Veracini
Publisher : Verso Books
Page : 421 pages
File Size : 12,61 MB
Release : 2021-09-21
Category : Philosophy
ISBN : 1839763833
Many would rather change worlds than change the world. The settlement of communities in 'empty lands' somewhere else has often been proposed as a solution to growing contradictions. While the lands were never empty, sometimes these communities failed miserably, and sometimes they prospered and grew until they became entire countries. Building on a growing body of transnational and interdisciplinary research on the political imaginaries of settler colonialism as a specific mode of domination, this book uncovers and critiques an autonomous, influential, and coherent political tradition - a tradition still relevant today. It follows the ideas and the projects (and the failures) of those who left or planned to leave growing and chaotic cities and challenging and confusing new economic circumstances, those who wanted to protect endangered nationalities, and those who intended to pre-empt forthcoming revolutions of all sorts, including civil and social wars. They displaced, and moved to other islands and continents, beyond the settled regions, to rural districts and to secluded suburbs, to communes and intentional communities, and to cyberspace. This book outlines the global history of a resilient political idea: to seek change somewhere else as an alternative to embracing (or resisting) transformation where one is.
Author : Samprit Chatterjee
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 18,89 MB
Release : 2020-08-18
Category : Mathematics
ISBN : 1119392373
Handbook and reference guide for students and practitioners of statistical regression-based analyses in R Handbook of Regression Analysis with Applications in R, Second Edition is a comprehensive and up-to-date guide to conducting complex regressions in the R statistical programming language. The authors' thorough treatment of "classical" regression analysis in the first edition is complemented here by their discussion of more advanced topics including time-to-event survival data and longitudinal and clustered data. The book further pays particular attention to methods that have become prominent in the last few decades as increasingly large data sets have made new techniques and applications possible. These include: Regularization methods Smoothing methods Tree-based methods In the new edition of the Handbook, the data analyst's toolkit is explored and expanded. Examples are drawn from a wide variety of real-life applications and data sets. All the utilized R code and data are available via an author-maintained website. Of interest to undergraduate and graduate students taking courses in statistics and regression, the Handbook of Regression Analysis will also be invaluable to practicing data scientists and statisticians.
Author : Samprit Chatterjee
Publisher : John Wiley & Sons
Page : 214 pages
File Size : 28,38 MB
Release : 2013-05-30
Category : Mathematics
ISBN : 111853283X
A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis. Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level. The handbook provides a quick and convenient reference or “refresher” on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples. References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website. "I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them." American Statistician
