A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England’s welfare reform-Reference-Cited by-同舟云学术

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A Bayesian Interrupted Time Series framework for evaluating policy change on mental well-being: An application to England’s welfare reform

Published:2024-08 Issue: Volume:50 Page:100662
ISSN:1877-5845
Container-title:Spatial and Spatio-temporal Epidemiology
language:en
Short-container-title:Spatial and Spatio-temporal Epidemiology

Author:

Gascoigne Connor^ORCID,Jeffery Annie,Shao Zejing,Geneletti Sara,Kirkbride James B.,Baio Gianluca,Blangiardo Marta

Funder

Wellcome Trust

Publisher

Elsevier BV

Reference54 articles.

1. Do racial patterns in psychological distress shed light on the black–white depression paradox? A systematic review;Barnes;Soc. Psychiatry Psychiatr. Epidemiol.,2017

2. Interrupted time series regression for the evaluation of public health interventions: a tutorial;Bernal;Int. J. Epidemiol.,2017

3. Racial/ethnic differences in perception of need for mental health treatment in a US national sample;Breslau;Soc. Psychiatry Psychiatr. Epidemiol.,2017

4. Poor mental health influences risk and duration of unemployment: a prospective study;Butterworth;Soc. Psychiatry Psychiatr. Epidemiol.,2012

5. Exploring the mental health effects of universal credit: a journey of co-production;Cheetham;Perspect. Public Health,2022

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