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David Steel
David Steel
Professor, National Institute for Applied Statistics Research Australia,Univerisity of Wollongong
Verified email at uow.edu.au
Title
Cited by
Cited by
Year
Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
NM Mealing, E Banks, LR Jorm, DG Steel, MS Clements, KD Rogers
BMC medical research methodology 10 (1), 26, 2010
4272010
Research article Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
NM Mealing, E Banks, LR Jorm, DG Steel, MS Clements, KD Rogers
prevalence 1, 2, 2010
427*2010
Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs
DG Steel, MS Clements, NM Mealing, LR Jorm, K Rogers
Faculty of Informatics-Papers, 26-38, 2010
427*2010
Aggregation and ecological effects in geographically based data
D Holt, DG Steel, M Tranmer, N Wrigley
Geographical analysis 28 (3), 244-261, 1996
1781996
Analysing, modelling, and resolving the ecological fallacy
N Wrigley, T Holt, D Steel, M Tranmer
Spatial analysis: Modelling in a GIS environment, 23-40, 1996
1471996
Scales, levels and processes: Studying spatial patterns of British census variables
D Manley, R Flowerdew, D Steel
Computers, environment and urban systems 30 (2), 143-160, 2006
1322006
Analysing and adjusting aggregation effects: The ecological fallacy revisited
DG Steel, D Holt
International Statistical Review/Revue Internationale de Statistique, 39-60, 1996
1191996
Area homogeneity and the modifiable areal unit problem
D Holt, DG Steel, M Tranmer
Geographical Systems 3 (2/3), 181-200, 1996
1081996
Ignoring a level in a multilevel model: evidence from UK census data
M Tranmer, DG Steel
Environment and Planning A 33 (5), 941-948, 2001
1072001
Using census data to investigate the causes of the ecological fallacy
M Tranmer, DG Steel
Environment and Planning A 30 (5), 817-831, 1998
1051998
Maximum likelihood estimation for sample surveys
RL Chambers, DG Steel, S Wang, A Welsh
CRC Press, 2012
942012
Estimates of probable dementia prevalence from population-based surveys compared with dementia prevalence estimates based on meta-analyses
KJ Anstey, RA Burns, CL Birrell, D Steel, KM Kiely, MA Luszcz
BMC neurology 10 (1), 62, 2010
932010
Estimates of probable dementia prevalence from population-based surveys compared with dementia prevalence estimates based on meta-analyses
KJ Anstey, RA Burns, CL Birrell, D Steel, KM Kiely, MA Luszcz
BMC neurology 10 (1), 62, 2010
932010
Multiple‐membership multiple‐classification models for social network and group dependences
M Tranmer, D Steel, WJ Browne
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2014
832014
Rules for random aggregation
DG Steel, D Holt
Environment and Planning A 28 (6), 957-978, 1996
781996
Cohort profile: The dynamic analyses to optimize ageing (DYNOPTA) Project
KJ Anstey, JE Byles, MA Luszcz, P Mitchell, D Steel, H Booth, C Browning, ...
International journal of epidemiology 39 (1), 44-51, 2010
742010
Cohort profile: the Dynamic Analyses to Optimize Ageing (DYNOPTA) Project| NOVA. The University of Newcastle's Digital Repository
KJ Anstey, JE Byles, TD Windsor, L Ross, L Bartsch, RA Burns, K Kiely, ...
Oxford University Press, 2010
74*2010
Inclusion of mobile phone numbers into an ongoing population health survey in New South Wales, Australia: design, methods, call outcomes, costs and sample representativeness
ML Barr, JJ Van Ritten, DG Steel, SV Thackway
BMC medical research methodology 12 (1), 177, 2012
512012
Design and estimation for split questionnaire surveys
JO Chipperfield, DG Steel
452008
The case for small area microdata
M Tranmer, A Pickles, E Fieldhouse, M Elliot, A Dale, M Brown, D Martin, ...
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2005
442005
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