Age-period-cohort analysis : new models, methods, and empirical applications /
By: Land, Kenneth C
Title By: Yang, Yang
Material type:
BookDescription: xiii, 338 p. ; ill. ; 24 cm.ISBN: 9781466507524 (hardcover : alk. paper)Subject(s): Cohort analysis | Age groups -- Statistical methodsDDC classification: 001.42/2 Online resources: Location Map
Summary:
The social sciences, demography, and epidemiology have faced a long-standing problem of analysis of data in which events or outcome variables can be simultaneously affected by time periods (P) in which they occur as well as by the ages (A) and birth cohorts (C) or dates of origin of individuals or other units to which they occur. This book uses the GLMM approach to bring APC analysis to the twenty-first century of statistical practice. Written to accommodate readers less sophisticated in statistical modeling, this book presents a variety of empirical applications and interdisciplinary topics.
| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| REGULAR | University of Wollongong in Dubai Main Collection | 001.422 LA AG (Browse shelf) | Available | T0049475 |
Total holds: 0
, Shelving location: Main Collection Close shelf browser
|
|
|
|
|
|
|
||
| 001.422 HA IN Introduction to mediation, moderation, and conditional process analysis : | 001.422 HA IN Introduction to mediation, moderation, and conditional process analysis : | 001.422 HO MU Multilevel analysis : | 001.422 LA AG Age-period-cohort analysis : | 001.422 NE YO Your statistical consultant : | 001.4220285 BA QU Qualitative data analysis with NVivo / | 001.4226 EV PR Presenting data effectively : |
Includes bibliographical references and index.
The social sciences, demography, and epidemiology have faced a long-standing problem of analysis of data in which events or outcome variables can be simultaneously affected by time periods (P) in which they occur as well as by the ages (A) and birth cohorts (C) or dates of origin of individuals or other units to which they occur. This book uses the GLMM approach to bring APC analysis to the twenty-first century of statistical practice. Written to accommodate readers less sophisticated in statistical modeling, this book presents a variety of empirical applications and interdisciplinary topics.