Browse by UCL people
Group by: Type | Date
Number of items: 27.
Article
Blatchford, P;
Bassett, P;
Goldstein, H;
Martin, C;
(2003)
Are Class Size Differences Related to Pupils' Educational Progress and Classroom Processes? Findings from the Institute of Education Class Size Study of Children Aged 5-7 Years.
British Educational Research Journal
, 29
(5)
pp. 709-730.
10.1080/0141192032000133668.
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Fagg, J;
Chadwick, P;
Cole, TJ;
Cummins, S;
Goldstein, H;
Lewis, H;
Morris, S;
... Law, C; + view all
(2014)
From trial to population: a study of a family-based community intervention for childhood overweight implemented at scale.
Int J Obes (Lond)
, 38
(10)
1343 - 1349.
10.1038/ijo.2014.103.
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Fagg, J;
Cole, TJ;
Cummins, S;
Goldstein, H;
Morris, S;
Radley, D;
Sacher, P;
(2014)
After the RCT: who comes to a family-based intervention for childhood overweight or obesity when it is implemented at scale in the community?
J Epidemiol Community Health
, 69
(2)
pp. 142-148.
10.1136/jech-2014-204155.
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Gilbert, R;
Lafferty, R;
Hagger-Johnson, G;
Harron, K;
Zhang, L-C;
Smith, P;
Dibben, C;
(2017)
GUILD: GUidance for Information about Linking Data sets†.
J Public Health (Oxf)
, 2017
10.1093/pubmed/fdx037.
(In press).
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Goldstein, H;
(2018)
A software package for the application of probabilistic anonymisation to sensitive individual-level data: a proof of principle with an example from the ALSPAC birth cohort study.
Journal of Longitudinal and Life Course Studies: International Journal
, 9
(4)
pp. 433-446.
10.14301/llcs.v9i4.478.
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Goldstein, H;
(2017)
A response to 'assessment and learning: fields apart?
Journal Assessment in Education: Principles, Policy & Practice
, 24
(3)
pp. 388-393.
10.1080/0969594X.2017.1319338.
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Goldstein, H;
Browne, WJ;
Charlton, C;
(2018)
A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia.
Journal of Applied Statistics
, 45
(5)
pp. 918-931.
10.1080/02664763.2017.1322558.
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Goldstein, H;
Carpenter, J;
Kenward, MG;
(2018)
Bayesian models for weighted data with missing values: a bootstrap approach.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 67
(4)
pp. 1071-1081.
10.1111/rssc.12259.
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Goldstein, H;
Harron, K;
(2018)
‘Pseudonymisation at source’ undermines accuracy of record linkage.
[Editorial comment].
Journal of Public Health
, 40
(2)
pp. 219-220.
10.1093/pubmed/fdy083.
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Goldstein, H;
Harron, K;
Cortina-Borja, M;
(2017)
A scaling approach to record linkage.
Statistics in Medicine
, 36
(16)
pp. 2514-2521.
10.1002/sim.7287.
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Goldstein, H;
Harron, K;
Wade, A;
(2012)
The analysis of record-linked data using multiple imputation with data value priors.
Statistics in Medicine
, 31
(28)
3481 - 3493.
10.1002/sim.5508.
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Goldstein, H;
Leckie, G;
Charlton, C;
Tilling, K;
Browne, WJ;
(2018)
Multilevel growth curve models that incorporate a random coefficient model for the level 1 variance function.
Statistical Methods in Medical Research
, 27
(11)
pp. 3478-3491.
10.1177/0962280217706728.
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Goldstein, H;
Sera, F;
Elias, P;
Dezateux, C;
(2017)
Integrating area-based and national samples in birth cohort studies: The case of life study.
Longitudinal and Life Course Studies
, 8
(3)
pp. 281-289.
10.14301/llcs.v8i3.439.
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Hagger-Johnson, G;
Harron, K;
Fleming, T;
Gilbert, R;
Goldstein, H;
Landy, R;
Parslow, RC;
(2015)
Data linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records.
BMJ Open
, 5
(8)
, Article e008118. 10.1136/bmjopen-2015-008118.
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Hagger-Johnson, G;
Harron, K;
Goldstein, H;
Aldridge, R;
Gilbert, R;
(2017)
Probabilistic linkage to enhance deterministic algorithms and reduce data linkage errors in hospital administrative data.
Journal of Innovation in Health Informatics
, 24
(2)
pp. 234-246.
10.14236/jhi.v24i2.891.
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Hagger-Johnson, GE;
Harron, K;
Goldstein, H;
Parslow, R;
Dattani, N;
Borja, MC;
Wijlaars, L;
(2014)
Making a hash of data: what risks to privacy does the NHS's care.data scheme pose?
[Letter].
British Medical Journal
, 348
, Article g2264. 10.1136/bmj.g2264.
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Harron, K;
Dibben, C;
Boyd, J;
Hjern, A;
Azimaee, M;
Barreto, ML;
Goldstein, H;
(2017)
Challenges in administrative data linkage for research.
Big Data & Society
, 4
(2)
pp. 1-12.
10.1177/2053951717745678.
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Harron, K;
Goldstein, H;
Wade, A;
Muller-Pebody, B;
Parslow, R;
Gilbert, R;
(2013)
Linkage, evaluation and analysis of national electronic healthcare data: application to providing enhanced blood-stream infection surveillance in paediatric intensive care.
PLoS One
, 8
(12)
, Article e85278. 10.1371/journal.pone.0085278.
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Harron, K;
Hagger-Johnson, G;
Gilbert, R;
Goldstein, H;
(2017)
Utilising identifier error variation in linkage of large administrative data sources.
BMC Medical Research Methodology
, 17
, Article 23. 10.1186/s12874-017-0306-8.
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Harron, K;
Wade, A;
Gilbert, R;
Muller-Pebody, B;
Goldstein, H;
(2014)
Evaluating bias due to data linkage error in electronic healthcare records.
BMC Med Res Methodol
, 14
(1)
, Article 36. 10.1186/1471-2288-14-36.
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Harron, K;
Wade, A;
Muller-Pebody, B;
Goldstein, H;
Gilbert, R;
(2012)
Opening the black box of record linkage.
Journal of Epidemiology and Community Health
, 66
(12)
1198 -.
10.1136/jech-2012-201376.
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Harron, K;
Wade, A;
Muller-Pebody, B;
Goldstein, H;
Parslow, R;
Gray, J;
Hartley, JC;
... Gilbert, R; + view all
(2013)
Risk-adjusted monitoring of blood-stream infection in paediatric intensive care: a data linkage study.
Intensive Care Medicine
, 39
(6)
pp. 1080-1087.
10.1007/s00134-013-2841-z.
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Harron, KL;
Doidge, JC;
Knight, HE;
Gilbert, RE;
Goldstein, H;
Cromwell, DA;
van der Meulen, JH;
(2017)
A guide to evaluating linkage quality for the analysis of linked data.
Int J Epidemiol
, 46
(5)
pp. 1699-1710.
10.1093/ije/dyx177.
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Knowles, RL;
Bull, C;
Wren, C;
Wade, A;
Goldstein, H;
Dezateux, C;
on behalf of the UKCSCHD (UK Collaborative Study of Congenital H;
(2014)
Modelling Survival and Mortality Risk to 15 Years of Age for a National Cohort of Children with Serious Congenital Heart Defects Diagnosed in Infancy.
PLoS ONE
, 9
(8)
, Article e106806. 10.1371/journal.pone.0106806.
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Leckie, G;
Goldstein, H;
(2017)
The evolution of school league tables in England 1992-2016: 'Contextual value-added', 'expected progress' and 'progress 8'.
British Educational Research Journal (BERJ)
, 43
(2)
pp. 193-212.
10.1002/berj.3264.
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Report
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Dezateux, C;
Knowles, R;
Brocklehurst, P;
Elias, P;
Burgess, S;
Colson, D;
Elliot, P;
+ view all
(2016)
Life Study Scientific Protocol.
(Life Study Working Papers
).
Life Course Epidemiology and Biostatistics/ UCL Institute of Child Health: London, UK.
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Working / discussion paper
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Parker, RMA;
Leckie, G;
Goldstein, H;
Howe, L;
Heron, J;
Hughes, A;
Phillippo, D;
(2019)
Joint modelling of individual trajectories, within-individual variability and a later outcome: systolic blood pressure through childhood and left ventricular mass in early adulthood.
MedRxiv: Cold Spring Harbor, NY, USA.
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