Results 41 to 50 of about 48,441 (275)

The Adjustment Effects of Confounding Factors on Radiation Risk Estimates: Findings from A Japanese Epidemiological Study on Low-Dose Radiation Effects (J-EPISODE)

open access: yesJournal of Molecular and Genetic Medicine, 2017
Purpose: To investigate the degree of any decreasing effects for excess relative risk (ERR) of radiation exposure caused by adjusting for smoking and years of education. Methods: In this cohort study, we assembled a cohort of 41,742 males who responded to a lifestyle questionnaire survey performed in 2003, were registered in the Radiation Dose ...
Kudo S   +5 more
openaire   +1 more source

On Some Nonparametric Tests For Partially Observed Correlated Data: Proposing New Tests [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
Correlated or matched data is frequently collected under many study designs in applied sciences such as the social, behavioral, economic, biological, medical, epidemiologic, health, public health, and drug developmental sciences in order to have more ...
Hani M. Samawi, Lili Yu, Robert Vogel
doaj   +1 more source

Controlling for continuous confounding factors : non- and semiparametric approaches

open access: yes, 2005
Confounding is one of the major types of bias encountered in observational epidemiologic surveys designed to study the relation between an exposure factor and a health event.
Werwatz, A., Slama, R.
core   +3 more sources

Association Between Internet Use and Physical Health, Mental Health, and Subjective Health in Middle-aged and Older Adults: Nationally Representative Cross-sectional Survey in China

open access: yesJournal of Medical Internet Research, 2023
BackgroundInternet use is an important means of accessing health-related information. Identifying the associations between internet use and health outcomes could provide insight into strategies for improving public health among ...
Wen Wen   +3 more
doaj   +1 more source

Bounding the Bias of Unmeasured Factors with Confounding and Effect- Modifying Potentials

open access: yes, 2012
Confounding is a major concern in observational studies. To adjust for confounding bias, the potential confounder(s) for a study must first be identified and measured. But this is not always possible.
LEE, WEN-CHUNG, 李文宗
core   +1 more source

Interpretation of epidemiologic studies very often lacked adequate consideration of confounding

open access: yes, 2017
Confounding bias is a most pervasive threat to validity of observational epidemiologic research. We assessed whether authors of observational epidemiologic studies consider confounding bias when interpreting the findings.; We randomly selected 120 cohort
Ladanie, Aviv   +13 more
core   +1 more source

Obesity and overweight in relation to disease-specific mortality in men with and without existing coronary heart disease in London: the original Whitehall study

open access: yes, 2005
Objective: To examine the relations between obesity or overweight and coronary heart disease (CHD) mortality in men with and without prevalent CHD in a prospective cohort study.Methods: In the Whitehall study of London-based male government employees ...
Marmot, MG   +7 more
core   +1 more source

Undiagnosed HIV, hepatitis B, and hepatitis C infections in people with severe psychiatric disorders in Ethiopia

open access: yesBMC Infectious Diseases, 2020
Background Worldwide, there is limited epidemiologic evidence on the seroprevalence of undiagnosed chronic viral infections including HIV, hepatitis B virus (HBV) and hepatitis C virus (HCV) infections among patients with severe psychiatric disorders. To
Getinet Ayano   +17 more
doaj   +1 more source

Environmental tobacco smoke and lung cancer risk: Epidemiology in relation to confounding factors

open access: yesEnvironment International, 1992
Abstract This review discusses the many confounding risk factors likely to be relevant when assessing the risk of lung cancer in nonsmokers exposed to environmental tobacco smoke (ETS). The literature reflects wide recognition that confounding factors must be considered in assessing the causal implications of evidence from epidemiological studies ...
openaire   +1 more source

Neighborhood-level Confounding in Epidemiologic Studies

open access: yes, 2010
International audienceIn early contextual studies, the aim was to demonstrate overall neighborhood influences rather than dissecting such influences into their components. Researchers did not need to worry about neighborhood-level confounding.
Evans, David   +2 more
core   +1 more source

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