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library:services:new_books:2019_january [2019/01/30 07:18]
juthatip [2.) Statistical Modeling for Biomedical Researchers: A Simple Introduction To The Analysis Of Complex Data]
library:services:new_books:2019_january [2019/01/30 07:21] (current)
juthatip [3.)]
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-==== 3.)   ====  +==== 3.) Biostatistics in Public Health Using STATA  ====  
-**Author: William DDupont (Author)**+**Author:  Erick LSuárez (Author), Cynthia M. Pérez (Author), Graciela M. Nogueras (Author), Camille Moreno-Gorrín (Author) **
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-[[http://koha.cgi.ac.th/cgi-bin/koha/opac-detail.pl?biblionumber=2129|{{:library:services:new_books:2019_january:statistical_modeling_for_biomedical_researchers.jpg?150|}}]]+[[http://koha.cgi.ac.th/cgi-bin/koha/opac-detail.pl?biblionumber=2130|{{:library:services:new_books:2019_january:biostatistics_in_public_health_using_stata.jpg?150|}}]]
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-<color midnightblue/lightblue>**[[http://koha.cgi.ac.th/cgi-bin/koha/opac-detail.pl?biblionumber=2129|R853.M3 D938S 2009]]**</color> \\ \\+<color midnightblue/lightblue>**[[http://koha.cgi.ac.th/cgi-bin/koha/opac-detail.pl?biblionumber=2130|RA409 S939B 2016]]**</color> \\ \\
 __**Book Description**__ \\  __**Book Description**__ \\ 
-  *  The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the presentation of results to clinical colleaguesIt assumes no knowledge of mathematics beyond high school level and is accessible to anyone with an introductory background in statistics. The Stata statistical software package is again used to perform the analyses, this time employing the much improved version 10 with its intuitive point and click as well as character-based commands. Topics covered include linear, logistic and Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measure analysis of variance. Restricted cubic splines are used to model non-linear relationships. Each method is introduced in its simplest form and then extended to cover more complex situationsAn appendix will help the reader select the most appropriate statistical methods for their data. (amazon.com)+  *  Striking a balance between theory, application, and programming, Biostatistics in Public Health Using STATA is a user-friendly guide to applied statistical analysis in public health using STATA version 14The book supplies public health practitioners and students with the opportunity to gain expertise in the application of statistics in epidemiologic studies\\ \\ The book shares the authors’ insights gathered through decades of collective experience teaching in the academic programs of biostatistics and epidemiology. Maintaining a focus on the application of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases\\ \\ The book includes coverage of data description, graph construction, significance tests, linear regression models, analysis of variance, categorical data analysis, logistic regression model, poisson regression model, survival analysis, analysis of correlated data, and advanced programming in STATA\\ \\ Each chapter is based on one or more research problems linked to public healthAdditionally, every chapter includes exercise sets for practicing concepts and exercise solutions for self or group study. Several examples are presented that illustrate the applications of the statistical method in the health sciences using epidemiologic study designs. (amazon.com)
  
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