The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study
Z Fewell, G Davey Smith… - American journal of …, 2007 - academic.oup.com
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study.
Z Fewell, GD Smith, JAC Sterne - American Journal of …, 2007 - search.ebscohost.com
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study
Z Fewell, GD Smith, JAC Sterne - American journal of …, 2007 - pubmed.ncbi.nlm.nih.gov
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
[PDF][PDF] The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study
Z Fewell, GD Smith, JAC Sterne - Am J Epidemiol, 2007 - Citeseer
MATERIALS AND METHODS We denote the exposure variable as E and the confounders
as Xi, i= 1,..., n. Figure 1 shows a common situation in epidemiologic studies. The dashed …
as Xi, i= 1,..., n. Figure 1 shows a common situation in epidemiologic studies. The dashed …
The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study.
Z Fewell, JA Sterne - American Journal of Epidemiology, 2007 - europepmc.org
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
[引用][C] The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study
Z Fewell, GD Smith, JAC Sterne - American Journal of Epidemiology, 2007 - cir.nii.ac.jp
The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A
Simulation Study | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
Simulation Study | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study
Z Fewell, SG Davey, JAC Sterne - American Journal of Epidemiology, 2007 - elibrary.ru
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study.
Z Fewell, GD Smith, JAC Sterne - 2007 - cabidigitallibrary.org
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
The impact of residual and unmeasured confounding in epidemiologic studies: A simulation study
Z Fewell, GD Smith, JAC Sterne - American Journal of Epidemiology, 2007 - hero.epa.gov
Measurement error in explanatory variables and unmeasured confounders can cause
considerable problems in epidemiologic studies. It is well recognized that under certain …
considerable problems in epidemiologic studies. It is well recognized that under certain …
[引用][C] The Impact of Residual and Unmeasured Confounding in Epidemiological Studies; A Simulation Study
ZS Fewell, GD Smith… - American Journal …, 2007 - research-information.bris.ac.uk
The Impact of Residual and Unmeasured Confounding in Epidemiological Studies; A Simulation
Study — University of Bristol Skip to main navigation Skip to search Skip to main content …
Study — University of Bristol Skip to main navigation Skip to search Skip to main content …