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Bias (Epidemiology)

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Bias in epidemiology refers to systematic errors in the design, conduct, or analysis of research studies that lead to incorrect conclusions about the association between exposures and outcomes. It can distort the true relationship and affect the validity and reliability of study findings.
lightbulbAbout this topic
Bias in epidemiology refers to systematic errors in the design, conduct, or analysis of research studies that lead to incorrect conclusions about the association between exposures and outcomes. It can distort the true relationship and affect the validity and reliability of study findings.

Key research themes

1. How does selection bias influence observational epidemiological studies during infectious disease outbreaks?

This theme investigates the impact and mechanisms of selection bias on estimations of infection risk and disease outcomes using observational data, especially in emergent epidemics like COVID-19 and Ebola. It addresses challenges inherent in preferential sampling of severe cases, non-random participation, and data linkage processes affecting the validity and generalizability of epidemiologic conclusions.

Key finding: Using empirical data from ALSPAC and UK Biobank cohorts, the study demonstrated that selection mechanisms for SARS-CoV-2 testing and COVID-19 questionnaires are associated with a wide range of personal characteristics (e.g.,... Read more
Key finding: The paper identified two major biases in estimating overall case-fatality risk (CFR): preferential ascertainment of severe cases leading to overestimation of CFR and reporting delays causing time-related biases. Additionally,... Read more
Key finding: The study developed a comprehensive conceptual framework detailing how selection, information, and collider biases arise at multiple stages of administrative data generation, linkage, and analysis. Drawing on large-scale... Read more

2. How can unmeasured confounding and systematic biases in observational epidemiological studies be quantitatively identified and addressed to improve causal inference?

This theme focuses on methodological advances in detecting, assessing, and mitigating the impact of unmeasured confounding and other systematic biases such as selection and information bias in observational epidemiology. It encompasses frameworks, bias analysis techniques, and guidelines developed to enhance the rigor of causal conclusions drawn from non-experimental data, particularly when randomized controlled trials are infeasible.

Key finding: Through a comprehensive review and systematic characterization of 15 analytical approaches, this paper proposed best practice recommendations to quantitatively evaluate and mitigate the impact of unmeasured confounding in... Read more
Key finding: The authors proposed a unified conceptual framework characterizing the three fundamental sources of bias—confounding, information bias, and selection bias—across study designs including both observational studies and... Read more
Key finding: By systematically reviewing 15 pharmacoepidemiological studies employing probabilistic bias analyses between 2010-2015, the study revealed underutilization and heterogeneous reporting quality of this quantitative method... Read more
Key finding: This paper delineates semantic and conceptual differences in the usage of 'bias' between epidemiologists and economists, demonstrating that terms such as selection bias and confounding map differently across disciplines.... Read more

3. What are the effects and implications of biases in personal risk perception and epidemiological modeling for public health communication and decision-making?

This theme explores how biases in personal risk assessment and the pluralistic modeling approaches in epidemiology impact understanding, communication, and policymaking. It covers psychological biases such as optimistic risk misestimation, present bias influencing health behaviors, and epistemic considerations around the diversity and interpretation of epidemiological models with relevance for population health strategies.

Key finding: The paper empirically distinguished absolute and relative biases in individuals' personal risk estimates by comparing student-generated risk assessments of negative life events to population statistics. It demonstrated that... Read more
Key finding: Utilizing a dynamic discrete choice model and applying it to diabetes care adherence, this study quantified substantial present bias and varying levels of naivete among individuals regarding future self-control.... Read more
Key finding: Analyzing epidemiological models used during the COVID-19 pandemic, the paper distinguishes between inconsistent and perspectival modeling outcomes arising from incompatible versus compatible assumptions, respectively. It... Read more
Key finding: This review synthesizes critical debates in epidemiology on risk factor identification and epidemiologic knowledge production, emphasizing the need to integrate social theory to better understand macro-social determinants,... Read more

All papers in Bias (Epidemiology)

across the dominant and non-dominant hands. second, we looked to establish whether changes in hand proprioception that occur with the trained hand following adaptation also transfer to the untrained hand. We found intermanual motor... more
Two recent observational studies have demonstrated a doseresponse relationship between acetaminophen use and asthma in adolescents (1) and wheeze in early life (2), respectively. Noncomparability between drug users and nonusers is by no... more
Background The aim of this study was to examine the effect of preoperative smoking cessation interventions on postoperative complications and smoking cessation itself. Methods Relevant databases were searched for randomized controlled... more
Many customers demand population forecasts, particularly for small areas. Although the forecast evaluation literature is extensive, it is dominated by a focus on accuracy. We go beyond accuracy by examining the concept of forecast utility... more
macology, mandatory use of rigorous evidentiary criteria in epidemiology/observation studies claiming causal associations, proper interpretation of statistical versus clinical/ pharmacological significance, appropriate interpretation of... more
Critical to the discovery, development and rational use of drugs and vaccines are the foundational principles and proper application of statistics. However, in too many cases, there has been misuse of statistics and/or overemphasis on... more
Studies on the face validity of DSM-5 Section II categorical personality disorder (PD) symptoms indicate a bias against older adults. To extend these results, this article explores whether categorically and dimensionally scored PD... more
Animals return to rewarded locations. An example of this is conditioned place preference (CPP), which is widely used in studies of drug reward. Although CPP is expressed as increased time spent in a previously rewarded location, the... more
Response‐adaptive randomization procedures are appropriate for clinical trials in which two or more treatments are to be compared, patients arrive sequentially and the response of each patient is recorded before the next patient arrives.... more
Background: The quality of nutrition-related systematic reviews (SRs) is an unstudied but important factor affecting their usefulness. Objectives: The objectives were to evaluate the reporting quality of published SRs and to identify... more
The job exposure matrix (JEM) has been employed to assign cumulative exposure to workers in many epidemiological studies. In these studies, where quantitative data are available, all workers with the same job title and duration are... more
In these times of danger of severe international conflicts with fear of the use of atomic weapons and accidents in nuclear power plants, radionuclide contamination in terrestrial ecosystems has nowadays reached a dangerous level. One of... more
Background: It has been suggested that participant withdrawal from studies can bias estimates. However, this is only possible when withdrawers and nonwithdrawers differ in an important way. We tested the hypothesis that withdrawers are... more
The so-called "atypical" antipsychotics are rapidly becoming the de facto standard pharmacologic treatment of schizophrenia. This article reviews some common psychopharmacologic and psychological issues that may arise after an... more
This paper discusses the location bias and the spatial resolution in the reconstruction of a single dipole source by various spatial filtering techniques used for neuromagnetic imaging. We first analyze the location bias for several... more
Background: Tracing mail survey responses is useful for the management of reminders but may cause concerns about anonymity among prospective participants. We examined the impact of numbering return envelopes on the participation and the... more
We used administrative and screening data from 2009 to 2010 to determine if Healthy Start (HS), an enhanced prenatal services program, is reaching the most vulnerable African American women in Kent County, Michigan. Women in HS are at... more
The traditional approach to duty in nervous shock cases required more hurdles to be met than in cases of ordinary physical injury. The feminist critique of these cases demonstrated that these hurdles were created by gendered stereotypes... more
Background: The reproducibility of measurements on radiographs is influenced by the techniques by which the images as well as the measurements are obtained. Thus, bias resulting from errors in the image and/or image examinations at two... more
Background Patient experience surveys are increasingly used to gain information about the quality of healthcare. This paper investigates whether patients who respond before and after reminders to a large national survey of inpatient... more
We resolve the negative sign in Maxwells equations by putting it in another context (the negative sign changes to positive). We also write two of Maxwells equations as one equation. We use the 4x3 determinant. The text uses my computation... more
Fat talking has been assumed to be a causal risk factor for body dissatisfaction in a number of prevention programs and body confidence campaigns. The aim of this paper was to assess whether fat talking meets three criteria necessary for... more
In epidemiological studies, the cause-and-effect relationship is commonly measured using the odds ratio (OR), which reflects the odds of an outcome occurring versus not occurring. However, the crude odds ratio is specific to individual... more
When I first started experimenting with and using MS-DOS in 1986, I was confused by the various types of memory available with the then contemporary PCs: expanded, extended, enhanced expanded, etc. I found that I was frequently asked to... more
Versions: There are a Spanish adaptation developed by Pereira and Vargas (2005) for Venezuelans, an English translation carried out by Sanz (2013), and a brief English version developed by Álvaro Sánchez, Carmelo Vázquez and Jutta... more
To address declining response rates and rising data-collection costs, survey methodologists have devised new techniques for using process data ("paradata") to address nonresponse by altering the survey design dynamically during data... more
To address declining response rates and rising data-collection costs, survey methodologists have devised new techniques for using process data (“paradata”) to address nonresponse by altering the survey design dynamically during data... more
Propofol is one of the most frequently used medications for inducing and maintaining anesthesia. However, propofol injection causes pain and discomfort in more than 70% of patients. This study was performed to determine the comparative... more
Lot quality assurance sampling (LQAS) has a long history of applications in industrial quality control. LQAS is frequently used for rapid surveillance in global health settings, with areas classified as poor or acceptable performance... more
objectives To assess the bias incurred when curtailment of Lot Quality Assurance Sampling (LQAS) is ignored, to present unbiased estimators, to consider the impact of cluster sampling by simulation and to apply our method to published... more
Lot quality assurance sampling (LQAS) has a long history of applications in industrial quality control. LQAS is frequently used for rapid surveillance in global health settings, with areas classified as poor or acceptable performance... more
The probability of "replication, " p rep , has been proposed as a means of identifying replicable and reliable effects in the psychological sciences. We conduct a basic test of p rep that reveals that it misestimates the true probability... more
Determining the prevalence of neuromuscular disorders for the general population is important to identify the scope of burden on society and enable comparisons with other health conditions. This systematic review aims to identify and... more
We propose a unified and flexible framework for ensemble learning in the presence of censoring. For right-censored data, we introduce a random forest algorithm and a generic gradient boosting algorithm for the construction of prognostic... more
Diagnostic error is increasingly recognized as a major patient safety concern. Efforts to improve diagnosis have largely focused on safety and quality improvement initiatives that patients, providers, and health care organizations can... more
In the current study, we tested whether representations in visual STM (VSTM) can be biased via top–down attentional modulation of visual activity in retinotopically specific locations. We manipulated attention using retrospective cues... more
Background: Platelet-rich plasma (PRP) has been recently the emerging biological therapy in which a large pool of signals released from platelets producing a biological microenvironment for local and migrating cells for tissue... more
Recall bias represents a major threat to the internal validity of studies using self-reported data. It arises with the tendency of subjects to report past events in a manner that is different between the two study groups. This pattern of... more
Background-Occupational cohort studies are often challenged by the Healthy Worker Survivor Effect, which may bias standard methods of analysis. G-estimation of structural failure time models is an approach for reducing this type of bias.... more
The presentation of brain facts about specific damages is meaningless to patients unless they can begin to understand how the changes in their brains are lived out in everyday experiences and situations" (Varella, 1991 as stated in... more
Background. Pharmaceutical industry funding of psychiatric research has increased significantly in recent decades, raising the question of a relationship between pharmaceutical company funding of clinical psychiatric studies and the... more
Background-Driving is a complex form of activity involving especially cognitive and psychomotor functions. These functions may be impaired by Parkinson's disease. The relation between Parkinson's disease and driving ability is still... more
Pressure support ventilation (PSV) is almost universally employed in the management of actively breathing ventilated patients with acute respiratory failure. In this partial support mode of ventilation, a fixed pressure is applied to the... more
Background and objectives: Accumulating evidence shows that cognitive bias modification produces immediate changes in attentional bias for, and consumption of, rewarding substances including food. This study examined the longevity of... more
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