Odds Ratios In The Analysis Of Contingency Tables Electronic Resource
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Author | : Tamás Rudas |
Publisher | : SAGE |
Total Pages | : 92 |
Release | : 1998 |
Genre | : Mathematics |
ISBN | : 9780761903628 |
In this volume the author shows how odds ratios can be used as a framework for understanding log-linear models. The book moves from paradigmatic 2x2 case to more complicated cases. The author also carefully defines the odds ratio.
Author | : Marit L. Bovbjerg |
Publisher | : |
Total Pages | : 176 |
Release | : 2020-10 |
Genre | : Health & Fitness |
ISBN | : 9781955101035 |
Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening. Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues.
Author | : Alan Agresti |
Publisher | : John Wiley & Sons |
Total Pages | : 400 |
Release | : 2018-10-11 |
Genre | : Mathematics |
ISBN | : 1119405270 |
A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.
Author | : MIT Critical Data |
Publisher | : Springer |
Total Pages | : 435 |
Release | : 2016-09-09 |
Genre | : Medical |
ISBN | : 3319437429 |
This book trains the next generation of scientists representing different disciplines to leverage the data generated during routine patient care. It formulates a more complete lexicon of evidence-based recommendations and support shared, ethical decision making by doctors with their patients. Diagnostic and therapeutic technologies continue to evolve rapidly, and both individual practitioners and clinical teams face increasingly complex ethical decisions. Unfortunately, the current state of medical knowledge does not provide the guidance to make the majority of clinical decisions on the basis of evidence. The present research infrastructure is inefficient and frequently produces unreliable results that cannot be replicated. Even randomized controlled trials (RCTs), the traditional gold standards of the research reliability hierarchy, are not without limitations. They can be costly, labor intensive, and slow, and can return results that are seldom generalizable to every patient population. Furthermore, many pertinent but unresolved clinical and medical systems issues do not seem to have attracted the interest of the research enterprise, which has come to focus instead on cellular and molecular investigations and single-agent (e.g., a drug or device) effects. For clinicians, the end result is a bit of a “data desert” when it comes to making decisions. The new research infrastructure proposed in this book will help the medical profession to make ethically sound and well informed decisions for their patients.
Author | : Maura E. Stokes |
Publisher | : SAS Institute |
Total Pages | : 589 |
Release | : 2012-07-31 |
Genre | : Computers |
ISBN | : 1612900909 |
Statisticians and researchers will find Categorical Data Analysis Using SAS, Third Edition, by Maura Stokes, Charles Davis, and Gary Koch, to be a useful discussion of categorical data analysis techniques as well as an invaluable aid in applying these methods with SAS. Practical examples from a broad range of applications illustrate the use of the FREQ, LOGISTIC, GENMOD, NPAR1WAY, and CATMOD procedures in a variety of analyses. Topics discussed include assessing association in contingency tables and sets of tables, logistic regression and conditional logistic regression, weighted least squares modeling, repeated measurements analyses, loglinear models, generalized estimating equations, and bioassay analysis. The third edition updates the use of SAS/STAT software to SAS/STAT 12.1 and incorporates ODS Graphics. Many additional SAS statements and options are employed, and graphs such as effect plots, odds ratio plots, regression diagnostic plots, and agreement plots are discussed. The material has also been revised and reorganized to reflect the evolution of categorical data analysis strategies. Additional techniques include such topics as exact Poisson regression, partial proportional odds models, Newcombe confidence intervals, incidence density ratios, and so on. This book is part of the SAS Press program.
Author | : Joseph L. Fleiss |
Publisher | : John Wiley & Sons |
Total Pages | : 585 |
Release | : 2013-06-12 |
Genre | : Medical |
ISBN | : 1118625617 |
Das für Fachleute und fortgeschrittene Studenten konzipierte Buch beschäftigt sich mit dem Entwurf und der Analyse von Untersuchungen, Studien und Experimenten, bei denen qualitative und kategorische Daten anfallen. - jetzt in dritter Auflage - neue Informationen unter anderem zur logistischen Regression, zur Binomialverteilung, zu Daten von (zufälligen) Stichproben und zu den Delta-Methoden für Multinomialfrequenzen - Buch ist auf seinem Gebiet führend, das bewährte Material der Vorgängerauflagen wurde übernommen
Author | : Xujie Yu |
Publisher | : |
Total Pages | : 228 |
Release | : 1994 |
Genre | : |
ISBN | : |
Author | : Ron Klimberg |
Publisher | : SAS Institute |
Total Pages | : 406 |
Release | : 2017-12-19 |
Genre | : Computers |
ISBN | : 1629608033 |
Going beyond the theoretical foundation, this step-by-step book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. --
Author | : Michael Hout |
Publisher | : SAGE Publications, Incorporated |
Total Pages | : 104 |
Release | : 1983-04 |
Genre | : Social Science |
ISBN | : |
Explains the most widely used methods for analyzing cross-classified data on occupational origins and destinations. Hout reviews classic definitions, models, and sources of mobility data, as well as elementary operations for analyzing mobility tables. Tabular and graphic displays illustrate the discussion throughout.
Author | : Catherine Selden |
Publisher | : |
Total Pages | : 32 |
Release | : 1992 |
Genre | : Meta-analysis |
ISBN | : |