Sugi Supplemental Library User S Guide
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Sugi Supplemental Library User S Guide
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Author : Robert P. Hastings
language : en
Publisher:
Release Date : 1986
Sugi Supplemental Library User S Guide written by Robert P. Hastings and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computers categories.
U M Computing News
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Author :
language : en
Publisher: UM Libraries
Release Date : 1986
U M Computing News written by and has been published by UM Libraries this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computation laboratories categories.
Regression Modeling Strategies
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Author : Frank E. Harrell , Jr.
language : en
Publisher: Springer
Release Date : 2015-08-14
Regression Modeling Strategies written by Frank E. Harrell , Jr. and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-14 with Mathematics categories.
This highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modelling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasises problem solving strategies that address the many issues arising when developing multi-variable models using real data and not standard textbook examples. Regression Modelling Strategies presents full-scale case studies of non-trivial data-sets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalised least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models and the Cox semi parametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression. As in the first edition, this text is intended for Masters' or PhD. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modelling techniques.
Regression Modeling Strategies
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Author : Frank E. Harrell
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Regression Modeling Strategies written by Frank E. Harrell and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Mathematics categories.
Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Sas User S Guide
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Author : SAS Institute
language : en
Publisher:
Release Date : 1985
Sas User S Guide written by SAS Institute and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematical statistics categories.
User's manual for the SAS statistical analysis system describing the computer programming and statistical methodology for application in statistical computing - covers regression, analysis of variance, categorical data, multivariate, discriminant and clustering procedures, and the four types of estimable functions.
Table Producing Language System
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Author :
language : en
Publisher:
Release Date : 1984
Table Producing Language System written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Table Producing Language (Computer program language) categories.
Newsletter
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Author : University of Michigan Computing Center
language : en
Publisher:
Release Date : 1985
Newsletter written by University of Michigan Computing Center and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computation laboratories categories.
Statistical Issues In Drug Research And Development
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Author : KarlE. Peace
language : en
Publisher: Routledge
Release Date : 2017-09-19
Statistical Issues In Drug Research And Development written by KarlE. Peace and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-19 with Mathematics categories.
The Comparative Political Economy Of The Welfare State
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Author : Thomas Janoski
language : en
Publisher: Cambridge University Press
Release Date : 1994-01-28
The Comparative Political Economy Of The Welfare State written by Thomas Janoski and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-01-28 with Business & Economics categories.
Time-series analysis - Pooled time-series and cross-sectional analysis - Event history analysis - Boolean analysis.
Biostatistical Methods
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Author : John M. Lachin
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Biostatistical Methods written by John M. Lachin and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-25 with Mathematics categories.
Comprehensive coverage of classical and modern methods of biostatistics Biostatistical Methods focuses on the assessment of risks and relative risks on the basis of clinical investigations. It develops basic concepts and derives biostatistical methods through both the application of classical mathematical statistical tools and more modern likelihood-based theories. The first half of the book presents methods for the analysis of single and multiple 2x2 tables for cross-sectional, prospective, and retrospective (case-control) sampling, with and without matching using fixed and two-stage random effects models. The text then moves on to present a more modern likelihood- or model-based approach, which includes unconditional and conditional logistic regression; the analysis of count data and the Poisson regression model; and the analysis of event time data, including the proportional hazards and multiplicative intensity models. The book contains a technical appendix that presents the core mathematical statistical theory used for the development of classical and modern statistical methods. Biostatistical Methods: The Assessment of Relative Risks: * Presents modern biostatistical methods that are generalizations of the classical methods discussed * Emphasizes derivations, not just cookbook methods * Provides copious reference citations for further reading * Includes extensive problem sets * Employs case studies to illustrate application of methods * Illustrates all methods using the Statistical Analysis System(r) (SAS) Supplemented with numerous graphs, charts, and tables as well as a Web site for larger data sets and exercises, Biostatistical Methods: The Assessment of Relative Risks is an excellent guide for graduate-level students in biostatistics and an invaluable reference for biostatisticians, applied statisticians, and epidemiologists.