Mendeley出力
Age-period-cohort analysis : new models, methods, and empirical applications / Kenneth C. Land, Yang Yang
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Boca Raton, FL : CRC Press |
| 出版年 | 2013 |
| 本文言語 | 英語 |
| 大きさ | 1 online resource |
書誌詳細を非表示
| 資料種別 | 機械可読データファイル |
|---|---|
| 内容注記 | 1. Introduction 2. Why cohort analysis? 3. APC analysis of data from three common research designs 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator 6. APC accounting/multiple classification model, part II : empirical applications 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data 10. Directions for future research and conclusion |
| 一般注記 | Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three research designs: age-by-time period tables of population rates or proportions, repeated cross-section sample surveys, and accelerated longitudinal panel studies. The authors show how the empirical application of the models to various problems leads to many fascinating findings on how outcome variables d Open Access Includes bibliographical references and index Print version record |
| 著者標目 | *Land, Kenneth C. Yang, Yang, 1975- |
| 件 名 | LCSH:Electronic books BSH:Electronic books LCSH:Cohort analysis LCSH:Age groups -- Statistical methods 全ての件名で検索 BISACSH:SCIENCE -- Research & Methodology 全ての件名で検索 FREE:Cohort analysis |
| 分 類 | DC23:001.42/2 |
| 書誌ID | ED00001268 |
| ISBN | 9781466507531 |