Li-Chuan Tu
Biographic Data
| ID | 6077149 |
|---|---|
| NAME | Li-Chuan Tu |
| GIVEN NAMES | Li-Chuan |
| FAMILY NAME | Tu |
| SIGNATURE | TU L |
| AFFILIATIONS | Anthony Fabio is with the Department of Epidemiology, Epidemiology Data Center, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Li-Chuan (Charlotte) Tu is with the Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh. Rolf Loeber is with Department of Psychiatry, School of Medicine, University of Pittsburgh. Jaqueline Cohen is with the H. John Heinz III College, School of Public Policy and Management, Carnegie Mellon University, Pittsburgh, PA. |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2011 |
| H-INDEX | 1 |
Neighborhood Socioeconomic Disadvantage and the Shape of the Age–Crime Curve
Objectives. We sought to better determine the way in which neighborhood disadvantage affects the shape of the age–crime curve. Methods. We used data from the Pittsburgh Youth Study (PYS), a 14-year longitudinal study, to compare the age–crime curves of individuals in neighborhoods of different disadvantage. We visually compared observed age–crime curves, and then used generalized linear mixed models to test for differences in curve parameters. Re…
Neighborhood Socioeconomic Disadvantage and the Shape of the Age–Crime Curve
Objectives. We sought to better determine the way in which neighborhood disadvantage affects the shape of the age–crime curve. Methods. We used data from the Pittsburgh Youth Study (PYS), a 14-year longitudinal study, to compare the age–crime curves of individuals in neighborhoods of different disadvantage. We visually compared observed age–crime curves, and then used generalized linear mixed models to test for differences in curve parameters. Re…
Neighborhood Socioeconomic Disadvantage and the Shape of the Age–Crime Curve
Objectives. We sought to better determine the way in which neighborhood disadvantage affects the shape of the age–crime curve. Methods. We used data from the Pittsburgh Youth Study (PYS), a 14-year longitudinal study, to compare the age–crime curves of individuals in neighborhoods of different disadvantage. We visually compared observed age–crime curves, and then used generalized linear mixed models to test for differences in curve parameters. Re…
Crime Patterns and Interventions (1 works) · Demography (1 works) · Developmental psychology (1 works) · Disadvantage (1 works) · Disadvantaged (1 works) · Economics (1 works) · Life course approach (1 works) · Political science (1 works) · Population (1 works) · Psychology (1 works)