Sentences Generator
And
Your saved sentences

No sentences have been saved yet

68 Sentences With "confounders"

How to use confounders in a sentence? Find typical usage patterns (collocations)/phrases/context for "confounders" and check conjugation/comparative form for "confounders". Mastering all the usages of "confounders" from sentence examples published by news publications.

And, as with any observational study, it's difficult to eliminate all confounders.
Researchers try to control for these confounders but they can't capture all of them.
The study was well conducted and was able to control for a number of important confounders.
Dr. Kosinski said that they went to great lengths to guarantee that such confounders did not influence their results.
Even so, we can never be sure that there aren't unmeasured factors, known as confounders, that are changing the results.
Since the study controlled for important confounders and validated the findings in a sibling cohort, the results may reflect a causative biological mechanism.
"We have information about age, sex, education level, or physical activity, and have already taken into account these confounders in our analysis," she said.
We don't know if confounders are coming into play because this meta-analysis could only really control, over all, for age, sex and location.
The researchers try to control for this, but "controlling for" confounders doesn't work as well as you'd expect, and the reported effect size is suspiciously large.
"I realize that the study attempted to control for these confounders, but I think it's hard to tease apart breakfast skipping from their unhealthy lifestyle in general," Varady said.
"My major concern with the study is its inability to control for many confounders," said Aaron E. Carroll, a physician and author of the book The Bad Food Bible.
The studies from Harvard and from California are superior to ours because they both had individual-level data on many more potential confounders than just age, which we did not.
The highest quality studies did things like control for pre-existing mental health conditions and other important confounders, use the most appropriate comparison groups, and use widely accepted mental health measures.
Until now, "no one could put their hands on their hearts and say they'd eliminated the confounders," she said, referring to unknowable elements, like human behavior, that render trial results shaky.
Experts asked to comment on the work said it was a comprehensive and well-conducted analysis and did a good job of adjusting for confounders that could have skewed its findings.
It found that, after controlling for the prior drinkers, as well as other confounders, those who drank a moderate amount had a lower risk of death than abstainers as well as heavy drinkers.
These findings held even when taking into account many other factors that may also affect risk such as age, number of children, weight, use of hormone medications and a long list of additional potential confounders.
"Either the relationship shown in this study is causal or there are yet unmeasured confounders (risk factors) that are associated with both poor oral health as well as future risk of cardiovascular disease," Virani said.
It confirms that there may be developmental confounders in the diagnosis of the condition and that the relative immaturity of young children's brains can make those that are merely younger at school entry demonstrate behaviors consistent with ADHD.
After adjusting for several important potential confounders such as gender, education, social class, physical and social activity, smoking, stroke risk and medical history, the scientists found that higher alcohol consumption was associated with increased risk of brain function decline.
But all the careful procedure and all the honesty in the world won't help if your signal (the pattern you're looking for) is small, and the variation (all the confounders, the other things that might explain this pattern) is high.
"After adjustment for potential confounders, the intervention group had a higher overall pregnancy risk than the control group," with a 17 percent rate of pregnancy for girls in the VIP program, compared to an 11 percent pregnancy rate for girls who received standard health education.
"Compared to healthcare professionals not exposed to radiation, workers with more than 16 years of occupational work are approximately 10 times more likely to experience cataracts and eight times more likely to have cancer after adjusting for other confounders," like age and smoking status, Andreassi said.
And while the researchers may have mitigated a number of possible confounders by using the IVF children's friends as controls - the control group was probably the best match for socioeconomic background, for example - they didn't eliminate what might have been the biggest variable: history of infertility, Penzias said.
Counterfactual reasoning mitigates the influence of confounders without this drawback.
It is difficult to control for confounders when attempting to isolate specific causes; for example, the response to instructions by children is itself confounded by a subjects' environments, genetics and socio-economic status.
A common injury criterion is the Head impact criterion (HIC). Crashworthiness is assessed retrospectively by analyzing injury risk in real-world crashes, often using regression or other statistical techniques to control for the myriad of confounders that are present in crashes.
Am J Gastroenterol. 2011 Sep; 106(9): 1621-8] no weekend effect was found in UGIB. After adjustment for confounders, there was no evidence of a difference between weekend and weekday mortality (OR = 0.93; 95% CI 0.75-1.16). Two further small studies were published in 2012.
This claim was challenged by another study that found that in certain low quality studies occasional drinkers or ex-drinkers were included as abstainers, resulting in the increased mortality in that group. However, the J-curve for total and CHD mortality was reconfirmed by studies that took the mentioned confounders into account.
There seems to be little discussion of what proportion of individuals classified as abstainers are those already at greater risk of mortality due to chronic conditions and do not or cannot consume alcohol for reasons of health or harmful interactions with medication. The observed decrease in mortality of light-to-moderate drinkers compared to never drinkers might be partially explained by superior health and social status of the drinking group; however, the protective effect of alcohol in light to moderate drinkers remains significant even after adjusting for these confounders. Additionally, confounders such as underreporting of alcohol intake might lead to the underestimation of how much mortality is reduced in light-to-moderate drinkers. A 2010 study confirmed the beneficial effect of moderate alcohol consumption on mortality.
Missing factors, unmeasured confounders, and loss to follow-up can also lead to bias. By selecting papers with a significant p-value, negative studies are selected against—which is the publication bias. This is also known as "file cabinet bias", because less significant p-value results are left in the file cabinet and never published.
Similarly, an IVF-associated incidence of autism and attention-deficit disorder are believed to be related to confounders of maternal and obstetric factors. Overall, IVF does not cause an increased risk of childhood cancer. Studies have shown a decrease in the risk of certain cancers and an increased risks of certain others including retinoblastoma, hepatoblastoma and rhabdomyosarcoma.
This is a large-scale collaborative study consisting of determinants of disparities in chronic conditions. Progress in understanding the nature of health disparities requires data that are race-comparative while overcoming confounding between race, socioeconomic status (SES), and segregation. The EHDIC study is a multi-cohort study that addresses these confounders by examining the nature of health disparities within racially integrated communities without racial disparities in SES.
Another sample of self-reported data from 2,121 persons included only those who had already been diagnosed with AUD. In this sample it was found that those who had reported cannabis use in the past year (416 people) were associated with 1.7 greater odds of AUD persistence three years later. After adjustment for the same confounders as before, these odds were reduced to 1.3.
Opening quote: "But for the pit confounders, let them go, and find as little mercy as they show!" Adalind (Claire Coffee) meets with Prince Viktor Chlodwig zu Schellendorf von Konigsburg (Alexis Denisof), Eric's replacement. Viktor wants to find out who killed Eric and also says that he is Renard's (Sasha Roiz) cousin. Adalind tells him about Renard and also about Nick (David Giuntoli), identifying him as a Grimm.
Seventy-one patients were included, of which 52 patients survived and 19 patients died. Classification and regression tree analysis determined a split of organism MIC between 2 and 4 mg/liter and predicted differences in mortality (16.1% for 2 mg/liter versus 76.9% for 4 mg/liter). In logistic regression controlling for confounders, each imipenem MIC doubling dilution doubled the probability of death. This classification scheme correctly predicted 82.6% of cases.
This study design rules out confounders that vary between families, but not those that vary within families. Less is known about variation on scales less than total brain volume. A meta-analytic review by McDaniel found that the correlation between intelligence and in vivo brain size was larger for females (0.40) than for males (0.25). The same study also found that the correlation between brain size and Intelligence increased with age, with children showing smaller correlations.
A 2012 review examining the relation of cancer and cannabis found little direct evidence that cannabinoids found in cannabis, including THC, are carcinogenic. Cannabinoids are not mutagenic according to the Ames test. However, cannabis smoke has been found to be carcinogenic in rodents and mutagenic in the Ames test. Correlating cannabis use with the development of human cancers has been problematic due to difficulties in quantifying cannabis use, unmeasured confounders, and cannabinoids potential as cancer treatment.
These respondents had no prior diagnosis of AUD. Of the 27,461 people, 160 had reported cannabis use within the past year. At the end of a three year period it found that those who had previously reported cannabis use were associated with a five times greater odds of being diagnosed with AUD than those who had not. After adjustment for select confounders (age, race, marital status, income, and education), these odds were reduced to 2 times greater risk.
Desmond Morris in The Naked Ape (1967) expresses similar views. Organised opposition to Montagu's kind of purist "blank-slatism" began to pick up in the 1970s, notably led by E. O. Wilson (On Human Nature, 1979). The tool of twin studies was developed as a research design intended to exclude all confounders based on inherited behavioral traits. Such studies are designed to decompose the variability of a given trait in a given population into a genetic and an environmental component.
After adjusting for genetic confounders and childhood environments, researchers found significant association between green spaces and decreased depression. Both examples of green spaces in urban areas illustrate how individual's environment can affect mental health and highlight the importance of access to green spaces. Furthermore, there are several strategies that policymakers have pursued in order to increase the amount of green space in urban areas. Two are explored here: a case study in Toronto's redevelopment of Brownfield sites, and a broad analysis of city-wide planning strategies.
In causal models, controlling for a variable means binning data according to measured values of the variable. This is typically done so that the variable can no longer act as a confounder in, for example, in an observational study or experiment. When estimating the effect of explanatory variables on an outcome by regression, controlled-for variables are included as inputs in order to separate their effects from the explanatory variables. A limitation of controlling for variables is that back-door paths to unknown confounders may remain.
Additionally, adjusting for confounding factors such as age, gender and behaviours that may influence the methylation status as covariates is conducted. The association results are also corrected for the genomic control inflation factor in order to account for the population stratification. Generally, mean levels of CpG methylation are compared across categories using linear regression which allows for the adjustment of confounders and batch effects. A P-value threshold of P < 1e-7 is generally used to identify CpGs associated with the tested phenotype/stimulus.
Confounding has traditionally been defined as bias arising from the co-occurrence or mixing of effects of extraneous factors, referred to as confounders, with the main effect(s) of interest. A more recent definition of confounding invokes the notion of counterfactual effects. According to this view, when one observes an outcome of interest, say Y=1 (as opposed to Y=0), in a given population A which is entirely exposed (i.e. exposure X = 1 for every unit of the population) the risk of this event will be RA1.
An association exists between paracetamol use and asthma, but whether this association is causal is still debated . Certain evidence suggests that this association likely reflects confounders rather than being truly causal. A 2014 review found that among children, the association disappeared when respiratory infections were taken into account. , the American Academy of Pediatrics and the National Institute for Health and Care Excellence continue to recommend paracetamol for pain and discomfort in children, but some experts have recommended that paracetamol use by children with asthma or at risk for asthma should be avoided.
The synthetic control method is a statistical method used to evaluate the effect of an intervention in comparative case studies. It involves the construction of a weighted combination of groups used as controls, to which the treatment group is compared. This comparison is used to estimate what would have happened to the treatment group if it had not received the treatment. Unlike difference in differences approaches, this method can account for the effects of confounders changing over time, by weighting the control group to better match the treatment group before the intervention.
They conclude that moderate calorie restriction rather than extreme calorie restriction is sufficient to produce the observed health and longevity benefits in the studied rhesus monkeys."There may be little advantage of moderate CR over modest CR—this would be an extremely important discovery and one that merits further investigation." In his book How and Why We Age, Hayflick says that caloric restriction may not be effective in humans, citing data from the Baltimore Longitudinal Study of Aging which shows that being thin does not favour longevity. However, there may be confounders, e.g.
The assumption of "unit treatment additivity" is that τ(y) = τ, that is, the "treatment effect" does not depend on y. Since we cannot observe both y and τ(y) for a given individual, this is not testable at the individual level. However, unit treatment additivity imples that the cumulative distribution functions F1 and F2 for the two groups satisfy F2(y) = F1(y − τ), as long as the assignment of individuals to groups 1 and 2 is independent of all other factors influencing y (i.e. there are no confounders).
Fast food began with the first fish and chip shops in Britain in the 1860s. Drive-through restaurants were first popularized in the 1950s in the United States. The term "fast food" was recognized in a dictionary by Merriam–Webster in 1951. Eating fast food has been linked to, among other things, cardiovascular disease, colorectal cancer, obesity, high cholesterol, insulin resistance conditions and depression. Controlling for other diet and lifestyle confounders of fast food consumers often doesn’t attenuate these associations and it sometimes strengthens the association between fast food consumption and mortality.
"Allocation concealment" (defined as "the procedure for protecting the randomization process so that the treatment to be allocated is not known before the patient is entered into the study") is important in RCTs. In practice, clinical investigators in RCTs often find it difficult to maintain impartiality. Stories abound of investigators holding up sealed envelopes to lights or ransacking offices to determine group assignments in order to dictate the assignment of their next patient. Such practices introduce selection bias and confounders (both of which should be minimized by randomization), possibly distorting the results of the study.
Like other studies it examined later drug use differences between siblings where one sibling had used cannabis early and the other had not. The study examined identical twins (who share approximately 100% of their genes) and non-identical twins (who share approximately 50% of their genes) separately and adjusted for additional confounders such as peer drug use. It found, after confounder adjustment, that the associations with later hard drug use existed only for non-identical twins. This suggests a significant genetic factor in the likelihood of later hard drug usage.
Marginal structural models are a class of statistical models used for causal inference in epidemiology. Such models handle the issue of time-dependent confounding in evaluation of the efficacy of interventions by inverse probability weighting for receipt of treatment. For instance, in the study of the effect of zidovudine in AIDS-related mortality, CD4 lymphocyte is used both for treatment indication, is influenced by treatment, and affects survival. Time-dependent confounders are typically highly prognostic of health outcomes and applied in dosing or indication for certain therapies, such as body weight or lab values such as alanine aminotransferase or bilirubin.
The second was the absence of a system for classifying the potential causes, or contributors to AUB symptoms in a specific patient. These circumstances lead to difficulties with the interpretation of both basic science research and clinical trials as since specimens and patients could be "contaminated" with potential confounders. As a result, in order to obtain clearly informative basic science as well as translational and clinical investigation, a comprehensive approach to both investigation and categorization was needed. It was in this context that the FIGO (International Federation of Gynecology and Obstetrics) Menstrual Disorders Working Group was created.
The difference between the hormone levels of pregnant mothers in noisy versus quiet areas increased as birth approached. In a 2000 publication, a review of studies on birthweight and noise exposure note that while some older studies suggest that when women are exposed to >65 dB aircraft noise a small decrease in birthweight occurs, in a more recent study of 200 Taiwanese women including noise dosimetry measurements of individual noise exposure, the authors found no significant association between noise exposure and birth weight after adjusting for relevant confounders, e.g. social class, maternal weight gain during pregnancy, etc.
Musical training in childhood correlates with higher than average IQ. However, a study of 10,500 twins found no effects on IQ, suggesting that the correlation was caused by genetic confounders. A meta-analysis concluded that "Music training does not reliably enhance children and young adolescents' cognitive or academic skills, and that previous positive findings were probably due to confounding variables." It is popularly thought that listening to classical music raises IQ. However, multiple attempted replications (e.g.) have shown that this is at best a short-term effect (lasting no longer than 10 to 15 minutes), and is not related to IQ-increase.
Confounding factors are important to consider in clinical trials Stratified random sampling is useful and productive in situations requiring different weightings on specific strata. In this way, the researchers can manipulate the selection mechanisms from each strata to amplify or minimize the desired characteristics in the survey result. Stratified randomization is helpful when researchers intend to seek for associations between two or more strata, as simple random sampling causes a larger chance of unequal representation of target groups. It is also useful when the researchers wish to eliminate confounders in observational studies as stratified random sampling allows the adjustments of covariances and the p-values for more accurate results.
Only about 5% of cases will have an incubation period of less than 20 hours, and, at the other extreme, it is expected that 5% of cases would have an incubation period of greater than four and a half days. Human rhinoviruses preferentially grow at 32 °C (89 °F), notably colder than the average human body temperature of 37 °C (98 °F); hence the virus's tendency to infect the upper respiratory tract, where respiratory airflow is in continual contact with the (colder) extrasomatic environment. Rhinovirus C, unlike the A and B species, may be able to cause severe infections. This association disappears after controlling for confounders.
Then the pollen tubes are left to germinate and grow for 2 hours undisturbed unless otherwise stated. After the pollen tubes germinated, they were placed in DC and AC electric fields to see how an external field affected the growth of pollen tubes and the grains inside of them. The researchers applied varying voltages and frequencies to the pollen tubes and the grains to see how this affected their growth rate. To ensure reproducibility of test conditions, no dyes were implemented, no extreme voltages were applied, and pollen from the same plant and flowering season was used as not to be confounders in the experiment.
When neither mediator is included in the analysis, intelligence appears to have no effect or a weak effect on errors. However, when boredom is controlled intelligence will appear to decrease errors, and when error detection is controlled intelligence will appear to increase errors. If intelligence could be increased while only boredom was held constant, errors would decrease; if intelligence could be increased while holding only error detection constant, errors would increase. In general, the omission of suppressors or confounders will lead to either an underestimation or an overestimation of the effect of A on X, thereby either reducing or artificially inflating the magnitude of a relationship between two variables.
This minimizes the chance that results will be influenced by confounding variables, particularly ones that are unknown. However, educated hypotheses based on prior research and background knowledge are used to select variables to be included in the regression model for cohort studies, and statistical methods can be used to identify and account potential confounders from these variables. Bias can also be mitigated in a cohort study when selecting participants for the cohort. It is also important to note that RCTs may not be suitable in all cases; such as when the outcome is a negative health effect and the exposure is hypothesized to be a risk factor for the outcome.
It is not known, however, whether these potential associations are caused by the IVF procedure in itself, by adverse obstetric outcomes associated with IVF, by the genetic origin of the children or by yet unknown IVF-associated causes. Increases in embryo manipulation during IVF result in more deviant fetal growth curves, but birth weight does not seem to be a reliable marker of fetal stress. IVF, including ICSI, is associated with an increased risk of imprinting disorders (including Prader- Willi syndrome and Angelman syndrome), with an odds ratio of 3.7 (95% confidence interval 1.4 to 9.7). An IVF-associated incidence of cerebral palsy and neurodevelopmental delay are believed to be related to the confounders of prematurity and low birthweight.
Studies examining a current significant health concern, anesthetic-induced neurotoxicity (including with sevoflurane, and especially with children and infants) are "fraught with confounders, and many are underpowered statistically", and so are argued to need "further data... to either support or refute the potential connection". Concern regarding the safety of anaesthesia is especially acute with regard to children and infants, where preclinical evidence from relevant animal models suggest that common clinically important agents, including sevoflurane, may be neurotoxic to the developing brain, and so cause neurobehavioural abnormalities in the long term; two large-scale clinical studies (PANDA and GAS) were ongoing as of 2010, in hope of supplying "significant [further] information" on neurodevelopmental effects of general anaesthesia in infants and young children, including where sevoflurane is used.
Some observational epidemiological studies have found a correlation between use of benzodiazepines and certain hypnotics including zolpidem and an increased risk of getting cancer, but others have found no correlation; a 2017 meta-analysis of such studies found a correlation, stating that use of hypnotics was associated with a 29% increased risk of cancer, and that "zolpidem use showed the strongest risk of cancer" with an estimated 34% increased risk, but noted that the results were tentative because some of the studies failed to control for confounders like cigarette smoking and alcohol use, and some of the studies analyzed were case–controls, which are more prone to some forms of bias. Similarly, a meta- analysis of benzodiazepine drugs also shows their use is associated with increased risk of cancer.
In statistics, a paired difference test is a type of location test that is used when comparing two sets of measurements to assess whether their population means differ. A paired difference test uses additional information about the sample that is not present in an ordinary unpaired testing situation, either to increase the statistical power, or to reduce the effects of confounders. Specific methods for carrying out paired difference tests are, for normally distributed difference t-test (where the population standard deviation of difference is not known) and the paired Z-test (where the population standard deviation of the difference is known), and for differences that may not be normally distributed the Wilcoxon signed-rank test. The most familiar example of a paired difference test occurs when subjects are measured before and after a treatment.
Though most studies even until early 21st century relate human body postures to various musculoskeletal conditions, recent researches show no potential causal relationship between postures and these conditions like back pain; other causes like sleep deprivation, stress and long-term physical inactivity or prolonged static unnatural postural stress could be significant confounders for various health conditions. However some research show that prolonged slouched position may be a cause for minor breathing disorders. Though still a large proportion of the clinical practitioners attribute absence of a neutral spine posture as one of the main causes of conditions like back pain and neck pain, the relationship is not thoroughly established. It is also thought that much of so-called “poor posture” is actually just postural stress and being stuck with bad ergonomics that could be causing the pain — not really a postural problem.
After the Senior and Mazza study, several other studies have been conducted to attempt to definitively link elevated cancer rates to waste exposure. A government-made waste-exposure index that classifies areas of the Campania region as high (5 on index) or low (1 on index) risk based on the type of wastes present in surrounding dumping sites, total waste volume greater than 10,000 cubic metres, and the likelihood of releases on water, soil and air was created. Statistically significant excess relative risks were found for several cancer types in the triangle of death, however, methods often struggle to account for lifestyle confounders such as tobacco consumption and occupation which could skew the results. A US Navy study denied any real ill effects to on-base personnel while however advising their off-base personnel to drink bottled water citing polluted wells.
A 2011 literature review found that although wind turbines are associated with some health effects, such as sleep disturbance, the health effects reported by those living near wind turbines were probably caused not by the turbines themselves but rather by "physical manifestation from an annoyed state." A 2013 report for the National Health and Medical Research Council (Australia) elaborated: "There is consistent evidence that noise from wind turbines is associated with annoyance, and reasonable consistency that it is associated with sleep disturbance and poorer sleep quality and quality of life. However, it is unclear whether the observed associations are due to wind turbine noise or plausible confounders." A meta study published in 2014 reported that among the cross-sectional studies of better quality, no clear or consistent association is seen between wind turbine noise and any reported disease or other indicator of harm to human health.
Birth defects included in the analysis were: "total congenital anomalies, major congenital anomalies, heart defects, muscle and skeletal defects, and kidney and bladder defects," and these categories were inconsistent in reporting accuracy. Statistically significant findings (p<0.01) of this study included demographic differences in the mothers as follows: median age 24, compared to 27 years of age in Colorado as a whole, higher percent of mothers who were white/Hispanic and black, mean education level of 11.8 years compared to 13.1 years in Colorado as a whole, fewer mothers who were married, and fewer prenatal visits on average. These potential confounders are not clearly addressed in this report and may complicate the analysis as well as raise concern for disparities in exposure risk that is dependent upon demographic factors. Baseline rates of congenital anomalies in the study area compared to Colorado as a whole did not show significant differences between populations.

No results under this filter, show 68 sentences.

Copyright © 2024 RandomSentenceGen.com All rights reserved.