- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
基本説明
Incorporates many of the features introduced in Stata 9. The most distinguishing feature of this text is its use of case studies to help users learn Stata’s capabilities in the various subfields of statistics, including generalized linear models, survival analysis, panel (longitudinal) data, and cluster analysis. For example, the discussion of survival analysis revolves around a study of methadone maintenance treatment to aid heroin addicts in overcoming their addiction. Will help practitioners, particularly those in biostatistics and the health sciences, to become proficient with Stata quickly.
Full Description
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 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.
Contents
A Brief Introduction to Stata. Data Description and Simple Inference: Female Psychiatric Patients. Multiple Regression: Determinants of Pollution in U.S. Cities. Analysis of Variance I: Treating Hypertension. Analysis of Variance II: Effectiveness of Slimming Clinics. Logistic Regression: Treatment of Lung Cancer and Diagnosis of Heart Attacks. Generalized Linear Models: Australian School Children. Summary Measure Analysis of Longitudinal Data: Treatment of Post-Natal Depression. Random Effects Models: Thought Disorder and Schizophrenia. Generalized Estimating Equations: Epileptic Seizures and Chemotherapy. Some Epidemiology. Survival Analysis: Retention of Heroin Addicts in Methadone Maintenance Treatment. Maximum Likelihood Estimation: Age of Onset of Schizophrenia. Principal Components Analysis: Hearing Measurement using an Audiometer. Cluster Analysis: Tibetan Skulls and Determinants of Pollution in U.S. Cities. Appendix. References. Index.
