Understanding How Offending Prevalence and Frequency Change with Age in the Cambridge Study in Delinquent Development Using Bayesian Statistical Models

Julian Stander; David P. Farrington; Caroline Lubert

doi:10.1007/s10940-022-09544-x

Understanding How Offending Prevalence and Frequency Change with Age in the Cambridge Study in Delinquent Development Using Bayesian Statistical Models

Julian Stander^*
, David P. Farrington
, Caroline Lubert

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

University of Cambridge

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Journal of Quantitative Criminology
Volume	0
Issue number	0
Early online date	29 Mar 2022
DOIs	https://doi.org/10.1007/s10940-022-09544-x
Publication status	Published - 29 Mar 2022

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10.1007/s10940-022-09544-x

Age related changes in offending prevalence and frequency March 2022Accepted author manuscript, 317 KB

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title = "Understanding How Offending Prevalence and Frequency Change with Age in the Cambridge Study in Delinquent Development Using Bayesian Statistical Models",

author = "Julian Stander and Farrington, \{David P.\} and Caroline Lubert",

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AU - Stander, Julian

AU - Farrington, David P.

AU - Lubert, Caroline

PY - 2022/3/29

Y1 - 2022/3/29

UR - https://pearl.plymouth.ac.uk/secam-research/779/

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Understanding How Offending Prevalence and Frequency Change with Age in the Cambridge Study in Delinquent Development Using Bayesian Statistical Models

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