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Recall Bias Measurement Error

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study participants regarding events or experiences from the past.[1] Sometimes also referred to as response bias, responder bias or reporting bias, this type of measurement bias can be recall bias in research a methodological issue in research that involves interviews or questionnaires (potentially leading recall bias in cohort studies to differential misclassification of various types of exposure).[2] Recall bias can be a particular concern in retrospective studies

Recall Bias In Survey Research

that use a case-control design to investigate the etiology of a disease or psychiatric condition.[3] For example, in studies of risk factors for breast cancer, women who have had the disease

Misclassification Bias

may search their memories more thoroughly than unaffected controls to try to recall exposure to factors that have been mentioned in the press, such as use of oral contraceptives.[4] References[edit] ^ Last, John M, ed. (30 November 2000). A Dictionary of Epidemiology. Oxford University Press. p.153. ISBN978-0-19-977434-0. Retrieved 28 March 2013. ^ Moren, Alain; Valenciano, Marta (Kitching, Aileen, ed.). "Information (measurement) recall bias in cross sectional studies bias". Field Epidemiology Manual. FEM Wiki. Retrieved 28 March 2013. CS1 maint: Multiple names: authors list (link) ^ Kopec, JA; Esdaile, JM (September 1990). "Bias in case-control studies. A review.". Journal of epidemiology and community health. 44 (3): 179–86. doi:10.1136/jech.44.3.179. PMC1060638. PMID2273353. ^ Schulz, KF; Grimes, DA (February 2, 2002). "Case-control studies: research in reverse" (PDF). Lancet. 359 (9304): 431–4. doi:10.1016/S0140-6736(02)07605-5. PMID11844534. v t e Biases Lists of biases General Memory Cognitive biases Acquiescence Anchoring Attentional Attribution Authority Automation Belief Blind spot Choice-supportive Confirmation Congruence Cultural Distinction Egocentric Emotional Extrinsic incentives Fading affect Correspondence Halo effect Hindsight Hostile attribution Impact Ingroup Negativity Normalcy Optimism Outcome Precision Pro-innovation Response Restraint Self-serving Social comparison Status quo Time-saving Trait ascription Zero-risk In animals Statistical biases Estimator Forecast Healthy user Information Lead time Length time Non-response Omitted-variable Participation Recall Sampling Selection Self-selection Social desirability Spectrum Survivorship Systematic error Systemic Verification Wet Other biases Academic Exponent Funding FUTON Inductive Infrastructure Inherent in education Media Net Publication Reporting White hat Retrieved from "https://en.wikipedia.org/w/index.php?title=Recall_bias&oldid=729219550" Categories: Cognitive biasesSampling (statistics)Hidden categories: CS1 maint: Multiple names: authors list Navigation menu

be clear that, even if the categorization of subjects regarding exposure and outcome is perfectly accurate, bias can

Procedure Bias

be introduced differential selection or retention in a study. The converse ease of recall bias examples is also true: even if the selection and retention into the study is a fair representation recall bias in qualitative research of the population from which the samples were drawn, the estimate of association can be biased if subjects are incorrectly categorized with respect to their exposure status https://en.wikipedia.org/wiki/Recall_bias or outcome. These errors are often referred to as misclassification, and the mechanism that produces these errors can result in either non-differential or differential misclassification. Ken Rothman distinguishes these as follows: "For exposure misclassification, the misclassification is nondifferential if it is unrelated to the occurrence or presence of disease; if the misclassification of exposure is http://sphweb.bumc.bu.edu/otlt/MPH-Modules/EP/EP713_Bias/EP713_Bias4.html different for those with and without disease, it is differential. Similarly, misclassification of disease [outcome] is nondifferential if it is unrelated to the exposure; otherwise, it is differential." Nondifferential Misclassification of Exposure Nondifferential misclassification means that the frequency of errors is approximately the same in the groups being compared. Misclassification of exposure status is more of a problem than misclassification of outcome (as explained on page 6), but a study may be biased by misclassification of either exposure status, or outcome status, or both. Nondifferential misclassification of a dichotomous exposure occurs when errors in classification occur to the same degree regardless of outcome. Nondifferential misclassification of exposure is a much more pervasive problem than differential misclassification (in which errors occur with greater frequency in one of the study groups). The figure below illustrates a hypothetical study in which all subjects are correctly classified with respect to outcome, but some of the exposed subjects in each outcome group were incorrectly classified as 'non-exposed.' Suppo

My Basket My Account American Jnl of Epidemiology About This Journal Contact This Journal Subscriptions View Current Issue (Volume 184 Issue 8 October 15, 2016) Archive http://aje.oxfordjournals.org/content/152/5/480.full Search Oxford Journals Medicine & Health American Jnl of Epidemiology Volume 152 Issue https://wiki.ecdc.europa.eu/fem/w/wiki/information-measurement-bias 5 Pp. 480-486. Empirical Study of Parental Recall Bias Claire Infante-Rivard 1 and Louis Jacques 2 1Joint Departments of Epidemiology and Biostatistics, and Occupational Health, Faculty of Medicine, McGill University, Montréal, Québec, Canada. 2Department of Community Health Sciences, Faculty of Medicine, Sherbrooke University, Sherbrooke, Québec, Canada. Received June 10, 1999. Accepted November 1, 1999. recall bias  Next Section Abstract Recall bias is a major concern in case-control studies in which questionnaire data are used to assess past exposure. The authors conducted a validation substudy within the framework of a parent case-control study on risk factors for acute lymphoblastic leukemia in children aged ≤9 years diagnosed in 1980–1993 in Québec, Canada. Parental recall bias for two variables was assessed: reported distance from home to recall bias in power lines compared with measured distance and reported prenatal radiographic examinations compared with hospital medical record data. For reported distance, sensitivity was 62% for a subgroup of cases living in an area in which an excess of childhood acute lymphoblastic leukemia was perceived and was attributed to power lines. However, for other cases, sensitivity (35%) was similar to that measured for hospital controls (36%) and was relatively close to that for population controls (22%). Specificity was high for all groups except cases from the area with a perceived excess. Sensitivity for reported prenatal radiographic examinations was similar for cases (64%) and population controls (71%) but was lower for hospital controls (50%). Results confirm that under special circumstances, such as those resulting from enhanced public concern, parental recall can be differential but otherwise is most often nondifferential, with low sensitivity. Choosing the best type of controls to ensure comparable recall accuracy remains difficult. Am J Epidemiol 2000;152:480–6. Key words bias (epidemiology) case-control studies child electromagnetic fields epidemiologic methods leukemia recall x-rays Key words GA, geographic area in which people were concerned about an excess of acute lymphoblastic leukemia in childhood. Recall bias, also called reporting bias or differential recall, can

hygiene. Home Articles Curricula Guidance Core Competencies Communities Help More ... Home Articles Wiki Files Forums New Post Community Message Need help with your investigation or report writing? Ask the Expert. Free advice from the professional community. FEM Expert Review Controller You can't make decissions on this page's approval status because you have not the owner or an admin on this page's Group. FEM Page Contributors EditorAileen KitchingOriginal AuthorsAlain MorenMarta ValencianoContributorsLisa LazareckCeRCAileen Kitching Part of BiasDetection Bias Effect Modification and Confounding Confounding in studies Criteria for confounding Dose Effect Effect Modification Interaction Residual Confounding Information (Measurement) BiasInterviewer Bias Recall Bias Reporting Bias Response Bias Preventing bias Selection Bias Selection bias and case-control studies Ascertainment Bias Diagnostic bias Non-response bias Referral bias Survival bias Selection bias and cohort studies Wikis - Links Share this View history Article Articles - Wiki Subscribe Article History This is the expert reviewed version of this page, which is also the latest version. Information (Measurement) Bias Articles - Wiki Rate This Information (or measurement) biasrefers to a systematic error in the measurement or classification of participants in a study [1]. It occurs when the accuracy of information collected about or from study participants is not equal between cases and controls (i.e. differences in accuracy of exposure data), or, between exposed and unexposed (i.e. differences in accuracy of outcome data). Lack of accuracy could mean that study subjects are assigned into the wrong category of exposure (exposed/unexposed) or outcome (case/control), or both. All attempts should be made to minimise or prevent information bias. The term "misclassification" is frequently used to describe this bias. Cases and controls can be misclassified. Exposed and unexposed as well e.g. a heavy smoker who is categorised as a light smoker is misclassified. Misclassification results in an incorrect estimation of the association between exposure and outcome, the size and directio

 

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