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Jamie Brown
Título
Citado por
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Ano
Theory of addiction
R West, J Brown
John Wiley & Sons, 2013
15372013
ABC of behaviour change theories
S Michie
(No Title), 2014
7232014
Implicit learning as an ability
SB Kaufman, CG DeYoung, JR Gray, L Jiménez, J Brown, N Mackintosh
Cognition 116 (3), 321-340, 2010
6492010
Real‐world effectiveness of e‐cigarettes when used to aid smoking cessation: a cross‐sectional population study
J Brown, E Beard, D Kotz, S Michie, R West
Addiction 109 (9), 1531-1540, 2014
6122014
Nicotine, carcinogen, and toxin exposure in long-term e-cigarette and nicotine replacement therapy users: a cross-sectional study
L Shahab, ML Goniewicz, BC Blount, J Brown, A McNeill, KU Alwis, ...
Annals of internal medicine 166 (6), 390-400, 2017
5642017
The association of smoking status with SARS‐CoV‐2 infection, hospitalization and mortality from COVID‐19: a living rapid evidence review with Bayesian meta‐analyses (version 7)
D Simons, L Shahab, J Brown, O Perski
Addiction 116 (6), 1319-1368, 2021
4192021
Elective surgery cancellations due to the COVID‐19 pandemic: global predictive modelling to inform surgical recovery plans
CovidSurg Collaborative, D Nepogodiev, OM Omar, JC Glasbey, E Li, ...
British journal of surgery 107 (11), 1440-1449, 2020
3502020
Associations between e-cigarette type, frequency of use, and quitting smoking: findings from a longitudinal online panel survey in Great Britain
SC Hitchman, LS Brose, J Brown, D Robson, A McNeill
Nicotine & Tobacco Research 17 (10), 1187-1194, 2015
3242015
Is the use of electronic cigarettes while smoking associated with smoking cessation attempts, cessation and reduced cigarette consumption? A survey with a 1‐year follow‐up
LS Brose, SC Hitchman, J Brown, R West, A McNeill
Addiction 110 (7), 1160-1168, 2015
3182015
Personalised digital interventions for reducing hazardous and harmful alcohol consumption in community‐dwelling populations
EFS Kaner, FR Beyer, C Garnett, D Crane, J Brown, C Muirhead, ...
Cochrane database of systematic reviews, 2017
3102017
Prevalence and characteristics of e-cigarette users in Great Britain: findings from a general population survey of smokers
J Brown, R West, E Beard, S Michie, L Shahab, A McNeill
Addictive behaviors 39 (6), 1120-1125, 2014
2812014
Predictive validity of the Motivation To Stop Scale (MTSS): a single-item measure of motivation to stop smoking
D Kotz, J Brown, R West
Drug and alcohol dependence 128 (1-2), 15-19, 2013
2812013
Association of the COVID‐19 lockdown with smoking, drinking and attempts to quit in England: an analysis of 2019–20 data
SE Jackson, C Garnett, L Shahab, M Oldham, J Brown
Addiction 116 (5), 1233-1244, 2021
2722021
Association between electronic cigarette use and changes in quit attempts, success of quit attempts, use of smoking cessation pharmacotherapy, and use of stop smoking services …
E Beard, R West, S Michie, J Brown
bmj 354, 2016
2682016
Intact implicit learning in autism spectrum conditions
J Brown, B Aczel, L Jiménez, SB Kaufman, KP Grant
Quarterly Journal of Experimental Psychology 63 (9), 1789-1812, 2010
2602010
‘Real‐world’effectiveness of smoking cessation treatments: a population study
D Kotz, J Brown, R West
Addiction 109 (3), 491-499, 2014
2262014
Cortisol diurnal rhythm and stress reactivity in male adolescents with early-onset or adolescence-onset conduct disorder
G Fairchild, SHM van Goozen, SJ Stollery, J Brown, J Gardiner, J Herbert, ...
Biological psychiatry 64 (7), 599-606, 2008
2202008
Behavior change techniques in popular alcohol reduction apps: content analysis
D Crane, C Garnett, J Brown, R West, S Michie
Journal of medical Internet research 17 (5), e4060, 2015
1972015
Associative learning predicts intelligence above and beyond working memory and processing speed
SB Kaufman, CG DeYoung, JR Gray, J Brown, N Mackintosh
Intelligence 37 (4), 374-382, 2009
1702009
Associative learning predicts intelligence above and beyond working memory and processing speed
SB Kaufman, CG DeYoung, JR Gray, J Brown, N Mackintosh
Intelligence 37 (4), 374-382, 2009
1702009
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