Handbook of Statistical Analyses Using Stata Fourth Edition

Handbook of Statistical Analyses Using Stata  Fourth Edition

Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9.

Author: Brian S. Everitt

Publisher: CRC Press

ISBN: 1584887567

Category: Mathematics

Page: 352

View: 603

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.
Categories: Mathematics

A Handbook of Statistical Analyses Using Stata

A Handbook of Statistical Analyses Using Stata

This handbook describes the features of Stata - an exciting statistical package used for standard and non-standard methods of data analysis.

Author: Sophia Rabe-Hesketh

Publisher: Chapman and Hall/CRC

ISBN: UOM:39015054008910

Category: Computers

Page: 215

View: 535

This handbook describes the features of Stata - an exciting statistical package used for standard and non-standard methods of data analysis. A Handbook of Statistical Analyses Using Stata shows outlines this package's usefulness in: modeling complex data from longitudinal studies or surveys analyzing results from clinical trials or epidemiological studies enabling tailor-made analyses with its powerful programming language Each chapter identifies the appropriate analysis for a particular set of data. A brief account of statistical background is included in each chapter, but the primary focus is on using Stata and interpreting results. This handbook complements its two predecessors A Handbook of Statistical Analyses Using S-Plus and A Handbook of Statistical Analyses Using SAS.
Categories: Computers

Handbook of Statistical Analyses Using Stata

Handbook of Statistical Analyses Using Stata

Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.

Author: Sophia Rabe-Hesketh

Publisher: CRC Press

ISBN: 1439832358

Category: Mathematics

Page: 328

View: 141

The powerful statistical software Stata has streamlined data analysis, interpretation, and presentation for researchers and statisticians around the world. But because of its power and plethora of features, particularly in version 8, Stata manuals are usually quite extensive and detailed. The third edition of the Handbook of Statistical Analyses Using Stata describes the features of Stata version 8 in the same concise, convenient format that made the previous editions so popular. But the revisions updating the handbook to version 8 are not all this edition has to offer: the authors also added important material in three all-new chapters and focused more attention on Stata's improved graphical features. More Highlights of the Third Edition Ö Updates in all chapters that reflect the features of Stata 8 Ö A new chapter on random effects models Ö A new chapter on generalized estimating equations Ö A new chapter on cluster analysis Ö Increased emphasis on diagnostics Each chapter deals with a particular data set, identifies the appropriate analysis for it, and while it includes a brief account of the statistical background of the technique applied, the primary focus remains firmly on using Stata 8 and interpreting its results. Ideal for researchers, statisticians, and students alike, this handbook forms a perfect complement to the Stata manuals, by giving new users a head start on using the program and providing experienced users with a handy quick reference.
Categories: Mathematics

Handbook of Statistical Analyses Using Stata Fourth Edition

Handbook of Statistical Analyses Using Stata  Fourth Edition

Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9.

Author: Brian S. Everitt

Publisher: Chapman & Hall/CRC

ISBN: 1138462489

Category:

Page:

View: 636

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Editionhas been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, AHandbook of Statistical Analyses Using Stata, Fourth Editionillustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.
Categories:

A Handbook of Statistical Analyses Using R

A Handbook of Statistical Analyses Using R

A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.

Author: Torsten Hothorn

Publisher: Chapman and Hall/CRC

ISBN: 1584885394

Category: Mathematics

Page: 304

View: 351

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.
Categories: Mathematics

Journal of the American Statistical Association

Journal of the American Statistical Association

Along with newly developed statistical techniques for survival analysis , parallel
strides have been made in the last decade in terms of new capabilities of
computer software programs ... A Handbook of Statistical Analyses Using Stata (
4th ed . ) ...

Author:

Publisher:

ISBN: UCSD:31822036057495

Category: Statistics

Page:

View: 429

Categories: Statistics

Data Management Using Stata

Data Management Using Stata

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis.

Author: Michael N Mitchell

Publisher: Stata Press

ISBN: 1597183180

Category:

Page: 512

View: 753

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.
Categories:

Statistics with Stata

Statistics with Stata

Statistics for Management and Economics , 5th edition . Belmont , CA ... Statistical
Methods for Survival Data Analysis ( second edition ) . New York : Wiley . ... A
Handbook of Statistical Analysis Using Stata , 2nd edition . Boca Raton , FL ...

Author: Lawrence C. Hamilton

Publisher: Duxbury Press

ISBN: STANFORD:36105112983031

Category: Computers

Page: 339

View: 951

Stata is high-powered data analysis software. This handbook was designed to bridge the gap between textbooks and Stata's own documentation. In this intermediate role, STATISTICS WITH STATA uses easy to follow tutorials to demonstrates how to use Stata to accomplish some of the most common statistical tasks. While the Stata's user documentation is over 3000 pages, this tidy manual is less than 350 pages, and introduces students and practitioners to both basic and advanced features of Stata.
Categories: Computers

Stata 7 Reference Manual Extract

Stata 7 Reference Manual Extract

A Handbook of Statistical Analysis using Stata. 2d ed. Boca Raton, FL: Chapman
& Hall/CRC. Scheffe, H. 1959. The Analysis of Variance. New York: John Wiley &
Sons. Snedecor, G. W. and W. G. Cochran. 1989. Statistical Methods. 8th ed.

Author:

Publisher:

ISBN: 1881228592

Category: Social sciences

Page: 620

View: 628

Categories: Social sciences

Stata Multivariate Statistics Reference Manual

Stata Multivariate Statistics Reference Manual

Regression with Graphics. Pacific Grove, CA: Brooks/Cole. —. 2004. Statistics
with Stata. Belmont, CA: Brooks/Cole. Rabe-Hesketh, S. and B. S. Everitt. 2000. A
Handbook of Statistical Analysis using Stata. 2nd ed. Boca Raton, FL: Chapman
 ...

Author: StataCorp LP.

Publisher:

ISBN: CORNELL:31924101524878

Category: Cluster analysis

Page: 481

View: 155

Categories: Cluster analysis

Stata Base Reference Manual N R

Stata Base Reference Manual  N R

A Handbook of Statistical Analysis using Stata . 2d ed . Boca Raton , FL :
Chapman & Hall / CRC . Rencher , A. C. 1998. Multivariate Statistical Inference
and Applications . New York : John Wiley & Sons . Weesie , J. 1997. smv7 :
Inference on ...

Author: Stata Corporation

Publisher:

ISBN: 188122872X

Category: Social sciences

Page: 391

View: 624

Categories: Social sciences

Factors Associated with Mycobacterium Avium Complex Infection and Pulmonary Disease Progression

Factors Associated with Mycobacterium Avium Complex Infection and Pulmonary Disease Progression

Epidemiology 2003 ; 14 ( 4 ) : 451-458 . ( 5 ) Xiang D. Fitting Generalized
Additive Models with the GAM Procedure . SUGI Proceedings 2001 ; 256-26 . ( 6
) Rabe - Hesketh S , Everitt B. A Handbook of Statistical Analyses Using Stata .
Second ...

Author: Phung Kim Lam

Publisher:

ISBN: UCSD:31822033827080

Category: Lungs

Page: 232

View: 733

Mycobacterium avium complex (MAC), a resilient and ubiquitous non-tuberculous mycobacterium (NTM) commonly found in water and soil, is a pathogen that can cause infection or pulmonary disease (MAC-PD). MAC-PD is an emerging condition but remains under-studied, particularly in characterizing infection, disease progression, and risk factors. Initially, a case-control study of San Diego patients examined factors associated with being culture-positive for MAC (n=62), relative to being positive for rapid-grower (n=32) and culture-negative (n=44). The majority of MAC+ patients had underlying lung diseases (82% with abnormal radiographs) but only one-third was suspected of having MAC disease (32% underwent treatment). Compared to the culture-negative group, the MAC+ group was 3.4 (95% CI: 1.2-9.7) times more likely to be born in coastal states. Compared to the more healthy rapid-growers group, the MAC+ group had significantly higher bacilli load (23% vs. 16% smear-positive), lower average body mass index (BMI, 22 vs. 28 kg/m2), and lower average serum albumin concentration (30 vs. 33 g/l). Subsequently, survival analysis of a national study focused on factors associated with MAC-PD improvement in 95 HIV-negative older adults. Originally enrolled in a trial of interferon-gamma treatment, all subjects received standard mycobacterial drug therapy three-times-weekly (TIW), instead of daily, for one year. TIW response was low (e.g., 44% had culture improvement). Patients with non-cavitary disease had 4.0 (95% CI: 1.7-9.2) times greater culture and 4.9 (95% CI: 1.9-13.0) times greater CT response rates than those with cavitary disease. Older, smear-negative, or previously untreated subjects, and those with longer ethambutol use or without severe pulmonary presentations also had greater improvement. In unadjusted analyses, culture improvement was significantly associated with use of multivitamin (HR=2.4), vitamin E (HR=3.2), and calcium supplements (HR=4.2), BMI e"9 kg/m2 (HR=2.2), and serum albumin e"6 g/l (HR=2.4); albumin e"4 g/l was also associated with CT improvement (HR=4.5). However, after adjusting for cavitary disease and other indicators of disease severity, these associations diminished significantly. Only use of calcium supplements remained independently associated with culture improvement (HR=4.0; 95% CI=1.6-9.7), but cause and effect cannot be assumed. Further research is needed to validate these findings, particularly under long-term treatment.
Categories: Lungs

American Book Publishing Record

American Book Publishing Record

635.95 Gardening with altitude . ... 909.07 Going home ( Evans ) FIC The golden
compass ( Pullman ) JUV The golden crusader ( Langwith ) FIC Golden egg hunt
( Anderson ) JUV ... 543.56 A handbook of statistical analyses using Stata .

Author:

Publisher:

ISBN: UOM:39015066180426

Category: American literature

Page:

View: 485

Categories: American literature

Journal of Economic and Social Measurement

Journal of Economic and Social Measurement

S. Rabe - Heskith and B. Everitt ( 2000 ) , A Handbook of Statistical Analyses
using Stata , second Ed . , Chapman & Hall / CRC , New York . StataCorp ( 2003 )
, Stata Reference Manuals : Release 8 1-4 , Stata Press , College Station , TX .

Author:

Publisher:

ISBN: PSU:000054953383

Category: Census

Page:

View: 222

Categories: Census

STATA Base Reference Manual

STATA Base Reference Manual

Analysis of Messy Data , Volume 1 : Designed Experiments . New York :
Nostrand Reinhold . Rabe - Hesketh , S. and B. Everitt . 2004. A Handbook of
Statistical Analysis using Stata . 3rd ed . Boca Raton , FL : Chapman & Hall / CRC
. Scheffé ...

Author: Stata Press

Publisher:

ISBN: 1881228916

Category:

Page: 577

View: 754

Categories:

Stata Base Reference Manual G M

Stata Base Reference Manual  G M

Pregibon , D. 1980. Goodness of link tests for generalized linear models . Applied
Statistics 29 : 15–24 . Rabe - Hesketh , S. and B. Everitt . 2000. A Handbook of
Statistical Analysis using Stata . 2d ed . Boca Raton , FL : Chapman & Hall / CRC
 ...

Author: Stata Corporation

Publisher:

ISBN: 1881228711

Category: Social sciences

Page: 391

View: 245

Categories: Social sciences

Choice

Choice

Sophia Rabe- Hesketh and Brian Evcritt, in A Handbook of Statistical Analyses
Using Stata, describe the use of Stata, an interesting statistical package, as
applied to the problems of regression, analysis of variance, survival analysis, and
so ...

Author:

Publisher:

ISBN: UOM:39015079680495

Category: Academic libraries

Page:

View: 859

Categories: Academic libraries

AMSTAT News

AMSTAT News

HARDCOVER ISBN 978-0-8176-4724-7 / $ 59.95 STATISTICS FOR INDUSTRY
AND TECHNOLOGY 5. Handbook for Statistics Using Stata by Sophia Rabe -
Hesketh and Brian S. Everitt or A Handbook of Statistical Analyses Using R by ...

Author: American Statistical Association

Publisher:

ISBN: UOM:39015072629432

Category: Statistics

Page:

View: 581

Categories: Statistics