Mots-clés
BDSP5 Thésaurus > Méthode épidémiologique > Biais
Biais
Commentaire :
Différence systématique entre la valeur réelle d'un phénomène épidémiologique et son estimation fournie par une enquête.
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Documents disponibles dans cette catégorie (508)
Article
TORNER (Anna) : SWE. Department of Epidemiology. Swedish Institute for Infectious Disease Control. Solna. ; DICKMAN (Paul) : SWE. Department of Medical Epidemiology and Biostatistics. Karolinska Institutet. Solna. ; DUBERG (Ann-Sofi) : SWE. Department of Infectious Diseases. Orebro University Hospital. Orebro. ; SVENSSON (Ake) : SWE. Department for Mathematical Statistics. Stockholm University. Stockholm. |[BDSP. Notice produite par INIST-CNRS R0x88IkH. Diffusion soumise à autorisation]. Selection bias is a concern in cohort studies in which selection into the cohort is related to the studied outcome. An example is chronic infection with hepatitis[...]Article
BATESON (Thomas-F) : USA. National Center for Environmental Assessment. Office of Research and Development. Environmental Protection Agency. Washington. DC. ; Jmichael WRIGHT |[BDSP. Notice produite par INIST-CNRS os9GR0xB. Diffusion soumise à autorisation]. Environmental epidemiologic studies are often hierarchical in nature if they estimate individuals'personal exposures using ambient metrics. Local samples are indi[...]Article
Elisabeth STRANDHAGEN ; Christina BERG ; Lauren LISSNER ; Leyla NUNEZ ; Annika ROSENGREN ; Dag-S THELLE ; Kjell TOREN ; School of Public Health and Community Medicine. Sahlgrenska Academy. University of Gothenburg. Gothenburg. SWE |[BDSP. Notice produite par INIST-CNRS Gk8R0xq9. Diffusion soumise à autorisation]. Non-participation in population studies is likely to be a source of bias in many types of epidemiologic studies, including those describing social disparities in [...]Article
Tine-Neermann JACOBSEN ; Morten FRYDENBERG ; NOHR (Ellen-Aagaard) : DNK. Department of Epidemiology. Institute of Public Health. Aarhus University. Aarhus C. ; Department of Biostatistics. Institute of Public Health. Aarhus University. Aarhus C. DNK |[BDSP. Notice produite par INIST-CNRS C9lJR0xE. Diffusion soumise à autorisation]. Background Low participation at recruitment to the Danish National Birth Cohort (DNBC) has raised concern about non-participation bias. Objective To study the soc[...]Article
Rolf-Hh GROENWOID ; HAK (Eelko) : NLD. Department of Epidemiology. University Medical Center Groningen. University of Groningen. Groningen. ; Arno-W HOES ; David-B NELSON ; Kristin-L NICHOL ; Va Medical Center. Minneapolis. MN. USA |[BDSP. Notice produite par INIST-CNRS 9mR0x8DC. Diffusion soumise à autorisation]. Background The impact of unmeasured confounders on causal associations can be studied by means of sensitivity analyses. Although several sensitivity analyses are [...]Article
[BDSP. Notice produite par INIST-CNRS 89R0xE98. Diffusion soumise à autorisation]. Propensity-score matching is increasingly being used to estimate the effects of treatments using observational data. In many-to-one (M : 1) matching on the propen[...]Article
BOCCIA (Stefania) : ITA. Clinical and Molecular Epidemiology. Irccs San Raffaele Pisana. Rome. ; Rosarita AMORE ; Emma DE FEO ; Paola GALLI ; Francesco GIANFAGNA ; Gualtiero RICCIARDI |[BDSP. Notice produite par INIST-CNRS AR0x79ro. Diffusion soumise à autorisation]. Meta-analyses and Individual Patient Data (IPD) meta-analyses of genetic association studies are a powerful tool to summarize the scientific evidences, however th[...]Article
Rahman SHIRI ; KARPPINEN (Jaro) : FIN. Department of Physical Medicine and Rehabilitation. University of Oulu. Oulu. ; Päivi LEINO-ARJAS ; Svetlana SOLOVIEVA ; Eira VIIKARI-JUNTURA ; Team of Work-related Disorders. Centre of Expertise for Health and Work Ability. Finnish Institute of Occupational Health. Helsinki. FIN |[BDSP. Notice produite par INIST-CNRS 9IR0xk9C. Diffusion soumise à autorisation]. This meta-analysis assessed the association between overweight/obesity and low back pain. The authors systematically searched the Medline (National Library of Med[...]Article
Ann-Kristin KNUDSEN ; HOTOPF (Matthew) : GBR. Institute of Psychiatry. King's College London. London. ; MYKLETUN (Arnstein) : NOR. Division of Mental Health. Norwegian Institute of Public Health. Oslo. ; Simon OVERLAND ; Jens-Christoffer SKOGEN ; Research Section for Mental Health Epidemiology. Department of Health Promotion and Development. Faculty of Psychology. University of Bergen. Bergen. NOR |[BDSP. Notice produite par INIST-CNRS AE9ksR0x. Diffusion soumise à autorisation]. The authors aimed to examine whether nonparticipation in a population-based health study was associated with poorer health status ; to determine whether specific [...]Article
Imre JANSZKY ; AHLBOM (Anders) : SWE. Institute of Environmental Medicine. Karolinska Institute. Stockholm. ; SVENSSON (Anna-C) : SWE. Department of Public Health Sciences. Karolinska Institutet. Norrbacka. Stockholm. |[BDSP. Notice produite par INIST-CNRS lCrr8R0x. Diffusion soumise à autorisation]. It has long been established that controlling for confounders is essential to delineate the causal relationship between exposure and disease. For this purpose, st[...]Article
Daniel Westreich ; Kathryn ANASTOS ; Joan-S CHMIEL ; Stephen-R COLE ; Lisa-P JACOBSON ; Michele JONSSON FUNK ; Lawrence KINGSLEY ; Phyllis-C TIEN |[BDSP. Notice produite par INIST-CNRS tsnR0x79. Diffusion soumise à autorisation]. Typical applications of marginal structural time-to-event (e.g., Cox) models have used time on study as the time scale. Here, the authors illustrate use of time o[...]Article
STURMER (Til) : USA. Department of Epidemiology. Gillings School of Global Public Health. University of North Carolina at Chapel Hill. Chapel Hill. NC. ; Jerry AVORN ; GLYNN (Robert-J) : USA. Department of Biostatistics. Harvard School of Public Health. Boston. MA. ; ROTHMAN (Kenneth-J) : USA. Rti Health Solutions. Research Triangle Park. NC. ; Division of Pharmacoepidemiology and Pharmacoeconomics. Brigham and Women's Hospital. Harvard Medical School. Boston. MA. USA |[BDSP. Notice produite par INIST-CNRS plr9R0xq. Diffusion soumise à autorisation]. Frailty, a poorly measured confounder in older patients, can promote treatment in some situations and discourage it in others. This can create unmeasured confound[...]Article
Stephen-R COLE ; Kathryn ANASTOS ; Joan-S CHMIEL ; Lisa-P JACOBSON ; Lawrence KINGSLEY ; Phyllis-C TIEN |[BDSP. Notice produite par INIST-CNRS R0xH9kq9. Diffusion soumise à autorisation]. To estimate the net effect of imperfectly measured highly active antiretroviral therapy on incident acquired immunodeficiency syndrome or death, the authors combi[...]Rapport
[BDSP. Notice produite par IRDES 8mnkDR0x. Diffusion soumise à autorisation]. Measurement errors have been a persistent concern in survey research. In this study we investigate the current eviden[...]Article
G. COTTRELL ; M. COT ; J.Y. MARY |[BDSP. Notice produite par ORSRA 7rJ7R0x8. Diffusion soumise à autorisation]. La question du traitement statistique d'un jeu de données comportant des données manquantes se pose fréquemment, notamment en épidémiologie, et constitue un champ de r[...]