000 -LEADER |
fixed length control field |
a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200530b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781138197459 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
614.40727 |
Item number |
SHO |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Shoukri, Mohamed M. |
245 ## - TITLE STATEMENT |
Title |
Analysis of correlated data with SAS and R |
250 ## - EDITION STATEMENT |
Edition statement |
4th ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
CRC Press |
Date of publication, distribution, etc |
2018 |
Place of publication, distribution, etc |
Boca Raton |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 497 p. |
Other physical details |
ill. |
Dimensions |
25 cm. |
365 ## - TRADE PRICE |
Price amount |
89.00 |
Price type code |
GBP |
Unit of pricing |
98.20 |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references.
|
520 ## - SUMMARY, ETC. |
Summary, etc |
"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 Shoukris 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"--Provided by publisher.
|
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data Interpretation, Statistical |
|
Topical term or geographic name as entry element |
Cluster Analysis |
|
Topical term or geographic name as entry element |
Medical informatics |
|
Topical term or geographic name as entry element |
Medicine - Data processing |
|
Topical term or geographic name as entry element |
Mathematical statistics - Data processing |
|
Topical term or geographic name as entry element |
Medical statistics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |