Multilevel statistical models/

Por GOLDSTEIN, HARVEY
Publicado em c199

DESIGN AND ANALYSIS OF LONGITUDINAL STUDIES : THEIR ROLE IN THEMEASUREMENT OF CHANGE.

Por Goldstein, Harvey.
Publicado em 1979.

‘Pseudonymisation at source’ undermines accuracy of record linkage

Por Goldstein, Harvey, Harron, Katie
Publicado no J Public Health (Oxf) (2018)

A scaling approach to record linkage

Por Goldstein, Harvey, Harron, Katie, Cortina-Borja, Mario
Publicado no Stat Med (2017)

Utilising identifier error variation in linkage of large administrative data sources

Por Harron, Katie, Hagger-Johnson, Gareth, Gilbert, Ruth, Goldstein, Harvey
Publicado no BMC Med Res Methodol (2017)

Evaluating bias due to data linkage error in electronic healthcare records

Por Harron, Katie, Wade, Angie, Gilbert, Ruth, Muller-Pebody, Berit, Goldstein, Harvey
Publicado em 2014

Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modelling approach

Por Vassallo, Rebecca, Durrant, Gabriele B, Smith, Peter W F, Goldstein, Harvey
Publicado no J R Stat Soc Ser A Stat Soc (2015)

Probabilistic linking to enhance deterministic algorithms and reduce linkage errors in hospital administrative data

Por Hagger-Johnson, Gareth, Harron, Katie, Goldstein, Harvey, Aldridge, Rob, Gilbert, Ruth
Publicado no J Innov Health Inform (2017)

Linkage, Evaluation and Analysis of National Electronic Healthcare Data: Application to Providing Enhanced Blood-Stream Infection Surveillance in Paediatric Intensive Care

Por Harron, Katie, Goldstein, Harvey, Wade, Angie, Muller-Pebody, Berit, Parslow, Roger, Gilbert, Ruth
Publicado em 2013

Modelling Survival and Mortality Risk to 15 Years of Age for a National Cohort of Children with Serious Congenital Heart Defects Diagnosed in Infancy

Por Knowles, Rachel L., Bull, Catherine, Wren, Christopher, Wade, Angela, Goldstein, Harvey, Dezateux, Carol
Publicado em 2014

Challenges in administrative data linkage for research

Por Harron, Katie, Dibben, Chris, Boyd, James, Hjern, Anders, Azimaee, Mahmoud, Barreto, Mauricio L, Goldstein, Harvey
Publicado no Big Data Soc (2017)

Data linkage errors in hospital administrative data when applying a pseudonymisation algorithm to paediatric intensive care records

Por Hagger-Johnson, Gareth, Harron, Katie, Fleming, Tom, Gilbert, Ruth, Goldstein, Harvey, Landy, Rebecca, Parslow, Roger C
Publicado no BMJ Open (2015)

After the RCT: who comes to a family-based intervention for childhood overweight or obesity when it is implemented at scale in the community?

Por Fagg, James, Cole, Tim J, Cummins, Steven, Goldstein, Harvey, Morris, Stephen, Radley, Duncan, Sacher, Paul, Law, Catherine
Publicado no J Epidemiol Community Health (2015)

GUILD: GUidance for Information about Linking Data sets†

Por Gilbert, Ruth, Lafferty, Rosemary, Hagger-Johnson, Gareth, Harron, Katie, Zhang, Li-Chun, Smith, Peter, Dibben, Chris, Goldstein, Harvey
Publicado no J Public Health (Oxf) (2018)

Identifying Possible False Matches in Anonymized Hospital Administrative Data without Patient Identifiers

Por Hagger-Johnson, Gareth, Harron, Katie, Gonzalez-Izquierdo, Arturo, Cortina-Borja, Mario, Dattani, Nirupa, Muller-Pebody, Berit, Parslow, Roger, Gilbert, Ruth, Goldstein, Harvey
Publicado no Health Serv Res (2015)

A guide to evaluating linkage quality for the analysis of linked data

Por Harron, Katie L, Doidge, James C, Knight, Hannah E, Gilbert, Ruth E, Goldstein, Harvey, Cromwell, David A, van der Meulen, Jan H
Publicado no Int J Epidemiol (2017)