Improving cost-effectiveness of epidemiological studies via designed missingness strategies

Strauss, WJ; Ryan, L; Morara, M; Iroz-Elardo, N; Davis, M; Cupp, M; Nishioka, MG; Quackenboss, J; Galke, W; Özkaynak, H; Scheidt, P

Improving cost-effectiveness of epidemiological studies via designed missingness strategies

Strauss, WJ Ryan, L

Morara, M Iroz-Elardo, N Davis, M Cupp, M Nishioka, MG Quackenboss, J Galke, W Özkaynak, H Scheidt, P

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Publication Type:: Journal Article
Citation:: Statistics in Medicine, 2010, 29 (13), pp. 1377 - 1387
Issue Date:: 2010-06-15

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Field	Value	Language
dc.contributor.author	Strauss, WJ	en_US
dc.contributor.author	Ryan, L https://orcid.org/0000-0001-5957-2490	en_US
dc.contributor.author	Morara, M	en_US
dc.contributor.author	Iroz-Elardo, N	en_US
dc.contributor.author	Davis, M	en_US
dc.contributor.author	Cupp, M	en_US
dc.contributor.author	Nishioka, MG	en_US
dc.contributor.author	Quackenboss, J	en_US
dc.contributor.author	Galke, W	en_US
dc.contributor.author	Özkaynak, H	en_US
dc.contributor.author	Scheidt, P	en_US
dc.date.issued	2010-06-15	en_US
dc.identifier.citation	Statistics in Medicine, 2010, 29 (13), pp. 1377 - 1387	en_US
dc.identifier.issn	0277-6715	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26060
dc.description.abstract	Modern epidemiological studies face opportunities and challenges posed by an ever-expanding capacity to measure a wide range of environmental exposures, along with sophisticated biomarkers of exposure and response at the individual level. The challenge of deciding what to measure is further complicated for longitudinal studies, where logistical and cost constraints preclude the collection of all possible measurements on all participants at every follow-up time. This is true for the National Children's Study (NCS), a large-scale longitudinal study that will enroll women both prior to conception and during pregnancy and collect information on their environment, their pregnancies, and their children's development through early adulthood - with a goal of assessing key exposure/outcome relationships among a cohort of approximately 100 000 children. The success of the NCS will significantly depend on the accurate, yet cost-effective, characterization of environmental exposures thought to be related to the health outcomes of interest. The purpose of this paper is to explore the use of cost saving, yet valid and adequately powered statistical approaches for gathering exposure information within epidemiological cohort studies. The proposed approach involves the collection of detailed exposure assessment information on a specially selected subset of the study population, and collection of less-costly, and presumably less-detailed and less-burdensome, surrogate measures across the entire cohort. We show that large-scale efficiency in costs and burden may be achieved without making substantive sacrifices on the ability to draw reliable inferences concerning the relationship between exposure and health outcome. Several detailed scenarios are provided that document how the targeted sub-sampling design strategy can benefit large cohort studies like the NCS, as well as other more focused environmental epidemiologic studies.	en_US
dc.relation.ispartof	Statistics in Medicine	en_US
dc.relation.isbasedon	10.1002/sim.3892	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Data Interpretation, Statistical	en_US
dc.subject.mesh	Cohort Studies	en_US
dc.subject.mesh	Epidemiologic Research Design	en_US
dc.subject.mesh	Child Development	en_US
dc.subject.mesh	Pregnancy	en_US
dc.subject.mesh	Child	en_US
dc.subject.mesh	Cost-Benefit Analysis	en_US
dc.subject.mesh	United States	en_US
dc.subject.mesh	Female	en_US
dc.title	Improving cost-effectiveness of epidemiological studies via designed missingness strategies	en_US
dc.type	Journal Article
utslib.citation.volume	13	en_US
utslib.citation.volume	29	en_US
utslib.for	010402 Biostatistics	en_US
utslib.for	0104 Statistics	en_US
utslib.for	1117 Public Health and Health Services	en_US
dc.location.activity	Istanbul
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	13	en_US
pubs.publication-status	Published	en_US
pubs.volume	29	en_US

Abstract:

Modern epidemiological studies face opportunities and challenges posed by an ever-expanding capacity to measure a wide range of environmental exposures, along with sophisticated biomarkers of exposure and response at the individual level. The challenge of deciding what to measure is further complicated for longitudinal studies, where logistical and cost constraints preclude the collection of all possible measurements on all participants at every follow-up time. This is true for the National Children's Study (NCS), a large-scale longitudinal study that will enroll women both prior to conception and during pregnancy and collect information on their environment, their pregnancies, and their children's development through early adulthood - with a goal of assessing key exposure/outcome relationships among a cohort of approximately 100 000 children. The success of the NCS will significantly depend on the accurate, yet cost-effective, characterization of environmental exposures thought to be related to the health outcomes of interest. The purpose of this paper is to explore the use of cost saving, yet valid and adequately powered statistical approaches for gathering exposure information within epidemiological cohort studies. The proposed approach involves the collection of detailed exposure assessment information on a specially selected subset of the study population, and collection of less-costly, and presumably less-detailed and less-burdensome, surrogate measures across the entire cohort. We show that large-scale efficiency in costs and burden may be achieved without making substantive sacrifices on the ability to draw reliable inferences concerning the relationship between exposure and health outcome. Several detailed scenarios are provided that document how the targeted sub-sampling design strategy can benefit large cohort studies like the NCS, as well as other more focused environmental epidemiologic studies.

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http://hdl.handle.net/10453/26060