Social Science

Practical Propensity Score Methods Using R

Author: Walter Leite

Publisher: SAGE Publications

ISBN:

Category: Social Science

Page: 224

View: 405

Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge propensity score methods, the text highlights where solid guidelines exist to support best practices and where there is scarcity of research. Readers will find that this scaffolded approach to R and the book’s free online resources help them apply the text’s concepts to the analysis of their own data.
Social Science

Practical Propensity Score Methods Using R

Author: Walter Leite

Publisher: SAGE Publications

ISBN:

Category: Social Science

Page: 224

View: 819

Practical Propensity Score Methods Using R by Walter Leite is a practical book that uses a step-by-step analysis of realistic examples to help students understand the theory and code for implementing propensity score analysis with the R statistical language. With a comparison of both well-established and cutting-edge propensity score methods, the text highlights where solid guidelines exist to support best practices and where there is scarcity of research. Readers will find that this scaffolded approach to R and the book’s free online resources help them apply the text’s concepts to the analysis of their own data.
Social Science

Propensity Score Methods and Applications

Author: Haiyan Bai

Publisher: SAGE Publications

ISBN:

Category: Social Science

Page: 136

View: 874

A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.
Social Science

Quantitative Psychology

Author: Marie Wiberg

Publisher: Springer

ISBN:

Category: Social Science

Page: 459

View: 356

This proceedings volume highlights the latest research and developments in psychometrics and statistics. This book compiles and expands on selected and peer reviewed presentations given at the 83rd Annual International Meeting of the Psychometric Society (IMPS), organized by Columbia University and held in New York, USA July 9th to 13th, 2018. The IMPS is one of the largest international meetings on quantitative measurement in education, psychology and the social sciences. The last couple of years it has attracted more than 500 participants and more than 250 paper presentations from researchers around the world. Leading experts in the world and promising young researchers have written the 38 chapters. The chapters address a large variety of topics including but not limited to item response theory, multistage adaptive testing, and cognitive diagnostic models. This volume is the 7th in a series of recent volumes to cover research presented at the IMPS.
Mathematics

Analysis of Correlated Data with SAS and R

Author: Mohamed M. Shoukri

Publisher: CRC Press

ISBN:

Category: Mathematics

Page: 497

View: 158

Analysis of Correlated Data with SAS and R: 4th edition presents an applied treatment of recently developed statistical models and methods for the analysis of hierarchical binary, count and continuous response data. It explains how to use procedures in SAS and packages in R for exploring data, fitting appropriate models, presenting programming codes and results. The book is designed for senior undergraduate and graduate students in the health sciences, epidemiology, statistics, and biostatistics as well as clinical researchers, and consulting statisticians who can apply the methods with their own data analyses. In each chapter a brief description of the foundations of statistical theory needed to understand the methods is given, thereafter the author illustrates the applicability of the techniques by providing sufficient number of examples. The last three chapters of the 4th edition contain introductory material on propensity score analysis, meta-analysis and the treatment of missing data using SAS and R. These topics were not covered in previous editions. The main reason is that there is an increasing demand by clinical researchers to have these topics covered at a reasonably understandable level of complexity. Mohamed Shoukri is principal scientist and professor of biostatistics at The National Biotechnology Center, King Faisal Specialist Hospital and Research Center and Al-Faisal University, Saudi Arabia. Professor Shoukri’s research includes analytic epidemiology, analysis of hierarchical data, and clinical biostatistics. He is an associate editor of the 3Biotech journal, a Fellow of the Royal Statistical Society and an elected member of the International Statistical Institute.
Social Science

Propensity Score Analysis

Author: Shenyang Guo

Publisher: SAGE Publications

ISBN:

Category: Social Science

Page: 448

View: 326

Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.
Medical

A Life Course Approach to Healthy Ageing

Author: Diana Kuh

Publisher: OUP Oxford

ISBN:

Category: Medical

Page: 288

View: 327

Healthy ageing has long been a neglected area of epidemiological research as the traditional focus has been on specific chronic diseases of older life. There is a growing consensus from scientists, research funders and policy makers that ageing itself needs to be studied from an interdisciplinary and life course perspective, to inform strategies for reducing the societal and individual costs of an ageing population. A Life Course Approach to Healthy Ageing is a synthesis of life course perspectives in epidemiology and interdisciplinary perspectives in ageing research. It brings together expert investigators of maturing birth cohort and ageing studies, cross-cutting methodologists, and authorities in ageing research and knowledge transfer from across the world in one wide-ranging volume. Contributors discuss how aspects of healthy ageing are conceptualised, defined and measured; relate to each other; change across life; and are influenced by biological, psychological and social factors operating from early life onwards. They identify research gaps, and suggest how evidence from observational studies can be strengthened through improved study design and longitudinal analysis, thereby increasing the research contribution to practice or policy change. The book considers how we might delay or slow down the progressive, generalised impairment of function that occurs at the individual, body system and cellular levels, as people grow older. It also considers the determinants of wellbeing in older people, including personal fulfilment, positive emotions and social relationships. Broad in scope, discussing topics from genetics to psychological and social wellbeing, A Life Course Approach to Healthy Ageing is a key resource for epidemiologists, social scientists, clinicians, public health physicians, policy makers and practitioners with a research interest in healthy ageing.
Mathematics

Practical Statistical Methods

Author: Lakshmi Padgett

Publisher: CRC Press

ISBN:

Category: Mathematics

Page: 304

View: 197

Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs to carry out the necessary analyses and draw appropriate inferences for common statistical problems. After introducing fundamental statistical concepts, the author describes methods used for quantitative data and continuous data following normal and nonnormal distributions. She then focuses on regression methodology, highlighting simple linear regression, logistic regression, and the proportional hazards model. The final chapter briefly discusses such miscellaneous topics as propensity scores, misclassification errors, interim analysis, conditional power, bootstrap, and jackknife. With SAS code and output integrated throughout, this book shows how to interpret data using SAS and illustrates the many statistical methods available for tackling problems in a range of fields, including the pharmaceutical industry and the social sciences.