Research Topics
| Peter CongdonSummaryAffiliation: Queen Mary Country: UK Publications
| Collaborators
|
Detail Information
Publications
Rasch techniques for detecting bias in performance assessments: an example comparing the performance of native and non-native speakers on a test of academic EnglishCatherine Elder
Department of Applied Language Studies and Linguistics, University of Auckland, Private Bag 92019, Auckland, New Zealand
J Appl Meas 4:181-97. 2003..Implications for test fairness and test validity are discussed...- A multilevel model for comorbid outcomes: obesity and diabetes in the USPeter Congdon
Department of Geography and Centre for Statistics, Queen Mary University of London, Mile End Rd, London E1 4NS, UK
Int J Environ Res Public Health 7:333-52. 2010.... - Toxocara infection in the United States: the relevance of poverty, geography and demography as risk factors, and implications for estimating county prevalencePeter Congdon
Department of Geography, Center for Statistics, Queen Mary University of London, London, E1 4NS, UK
Int J Public Health 56:15-24. 2011..To estimate Toxocara infection rates by age, gender and ethnicity for US counties using data from the National Health and Nutrition Examination Survey (NHANES)... - Estimating prevalence of coronary heart disease for small areas using collateral indicators of morbidityPeter Congdon
Department of Geography and Centre for Statistics, Queen Mary University of London, Mile End Rd, London E1 4NS, UK
Int J Environ Res Public Health 7:164-77. 2010..The shared random effect involved a spatially correlated common factor, that accounts for clustering in latent risk factors, and also provides a summary measure of small area CHD morbidity... - A multilevel model for cardiovascular disease prevalence in the US and its application to micro area prevalence estimatesPeter Congdon
Department of Geography and Center for Statistics, Queen Mary University of London, London, UK
Int J Health Geogr 8:6. 2009..Prevalence estimates are of particular importance for major chronic illnesses such as cardiovascular disease... - Estimating CHD prevalence by small area: integrating information from health surveys and area mortalityPeter Congdon
Queen Mary University of London, UK
Health Place 14:59-75. 2008..An application involves assessment of surgical intervention rates in relation to prevalence at the level of 28 Strategic Health Authorities... - A spatial structural equation modelling framework for health count responsesPeter Congdon
Department of Geography, Queen Mary University of London, Mile End Rd, London E1 4NS, UK
Stat Med 26:5267-84. 2007..A case study considers the modelling of a single indicator-based morbidity construct (taken to represent a need for care) in 62 New York counties, with responses being psychiatric referrals to ambulatory and hospital care... - A model for spatial variations in life expectancy; mortality in Chinese regions in 2000Peter Congdon
Department of Geography, Queen Mary, University of London, London, UK
Int J Health Geogr 6:16. 2007..The modelling approach provides interpretable summary parameters (e.g. the relative mortality risk in rural as against urban areas) and is more parsimonious in terms of parameters than the conventional life table model... - Modelling multiple hospital outcomes: the impact of small area and primary care practice variationPeter Congdon
Department of Geography, Queen Mary, University of London, Mile End Rd, London E1 4NS, UK
Int J Health Geogr 5:50. 2006..A case study considers relativities in attendance and admission rates at a North London hospital involving 149 small areas and 53 GP practices... - A model framework for mortality and health data classified by age, area, and timePeter Congdon
Department of Geography, Queen Mary University of London, Mile End Road, London E1 4NS, England, UK
Biometrics 62:269-78. 2006.... - Estimating diabetes prevalence by small area in EnglandPeter Congdon
Department of Geography, Queen Mary University of London, Mile End Road, London E1 4NS, UK
J Public Health (Oxf) 28:71-81. 2006..A positive correlation between prevalence and health outcomes indicates that the latter are not measuring only performance... - Estimating population prevalence of psychiatric conditions by small area with applications to analysing outcome and referral variationsPeter Congdon
Department of Geography, QMUL, Mile End Rd, London E1 4NS, UK
Health Place 12:465-78. 2006.... - Commentary: Contextual effects: index construction and techniquePeter Congdon
Department of Geography, Queen Mary and Westfield College, Mile End Road, London E1 4NS, UK
Int J Epidemiol 33:741-2. 2004 - The ecological relationship between deprivation, social isolation and rates of hospital admission for acute psychiatric care: a comparison of London and New York CitySarah Curtis
Department of Geography, Health Research Group, Queen Mary College, University of London, London, UK
Health Place 12:19-37. 2006..We discuss the interpretation of these results and the issues they raise in terms of the potential and limitations of international comparison... - County variation in use of inpatient and ambulatory psychiatric care in New York State 1999-2001: need and supply influences in a structural modelSarah Curtis
Department of Geography, Durham University, South Road, Durham DH1 3LE, UK
Health Place 15:568-77. 2009.... - Psychological distress among adolescents, and its relationship to individual, family and area characteristics in East LondonJames Fagg
Queen Mary College, University of London, UK
Soc Sci Med 63:636-48. 2006..However, this area variation was not related to differences in area indicators of socio-economic deprivation, crime or social fragmentation. There was a complex association between SDQ and ethnic composition of neighbourhoods... - Geographical variation in acute psychiatric admissions within New York City 1990-2000: growing inequalities in service use?Michael Almog
Wagner Graduate School of Public Service, New York University, USA
Soc Sci Med 59:361-76. 2004....