Not exact matches
To avoid any regional
bias, we spoke to people throughout the beer industry —
from brewers to hop farmers — to get their take on areas that are showing a lot
of potential, though may still be under - the - radar on a national basis.
When speaking with your clients about international opportunities and the
potential benefits
of diversification, keep in mind that baby boomers are particularly at risk
from the home
bias.
The use
of mock products reduced the
potential bias from preconceived notions about known brands.
Views are particularly polarised in the United States, with interventions and costs
of hospital births escalating and midwives involved with home births being denied the ability to be lead professionals in hospital, with admitting and discharge privileges.5 Although several Canadian medical societies6 7 and the American Public Health Association8 have adopted policies promoting or acknowledging the viability
of home births, the American College
of Obstetricians and Gynecologists continues to oppose it.9 Studies on home birth have been criticised if they have been too small to accurately assess perinatal mortality, unable to distinguish planned
from unplanned home births accurately, or retrospective with the
potential of bias from selective reporting.
The results
of this study should be interpreted with caution because the breastfeeding team collected breastfeeding outcome data
from the intervention group, thus introducing the
potential for
bias.
More than 100 prospective jurors filled out questionnaires yesterday, as prosecutors and defense lawyers sought to identify
potential bias or conflicts that might disqualify people
from serving next week in the corruption trial
of ex-Assembly Speaker Sheldon Silver.
On that front the Survation poll is pretty positive about Jeremy Corbyn with people saying he came across as more trustworthy and in touch than his rivals (though such polls are always a bit tricky because
of the choice
of clips — Survation tried to iron out any
potential biasing effect by having clips
from each candidate being interviewed on the Marr show, so they were all interviews, all the same setting and same interviewer... but even then you ended up with two candidates defending their position on the welfare bill, one talking about the EU referendum and one talking about rail nationalisation.
Universities are particularly sensitive to university space, resources and / or faculty being involved in outside activities during their working hours, and also for
potential conflicts
of interest, in which your university research could be
biased by receiving outside funding
from an inappropriate source, as when a drug company has a vested interest in the outcome
of your independent research.
In reviewing the fur trapping data
from two U.S. and six Canadian jurisdictions, Newsome and Ripple eliminated
potential sources
of bias such as records
from fur farms that raise foxes.
Using a
biased regulatory analysis, the agency excluded the possibility
of an act
of terrorism as well as the
potential for damage
from a fire beyond 50 miles
of a plant.
Various manipulations
of the data showed that two major
potential confounding factors, SNP ascertainment
bias and weak selection at presumably - neutral sites, had little influence on the inferences
from their data set.
In order to avoid a
potential bias caused by selection
of a particular referent subject, subject - specific SI maps
from all the subjects are summarized as a weighted average, with the Jaccard index for each subject as the weight.
Setting the fact that the
bias from big pharma (which we know include / control / owns dairy industry etc.) is real and even documented and not just
potential, how can you compare the «
potential»
bias of somebody who has very high economic interest in having a specific result coming out
of the study with that
of somebody who is simply following a related social, scientific, religious, pratical etc. pattern?
Of 2,666 students in the original SCSF sample, the researchers obtained information for 2,637 students, or 99 % of the cohort, «greatly reducing the potential for bias due to attrition from the evaluation,» they not
Of 2,666 students in the original SCSF sample, the researchers obtained information for 2,637 students, or 99 %
of the cohort, «greatly reducing the potential for bias due to attrition from the evaluation,» they not
of the cohort, «greatly reducing the
potential for
bias due to attrition
from the evaluation,» they note.
Importantly, our null effect estimates
from the random experiment differ substantially
from those found
from an analysis
of CPS data, raising concerns about the
potential for selection
bias in non-experimental estimates
of returns.
This is the focus
of a new report [published in the Australian Journal
of Education]
from researchers at the University
of New England, which looks at different types
of potential bias in grading including gender, race and physical attractiveness.
This in turn prompted Mr. Goldhaber and Ms. Gordon to rebuke and state that it was imperative that the public understands what type
of research was informing said policy claims and where and
from whom educational institutions and think tanks receive funding
from as there is greater
potential for underlying evidential
biases.
Borgonovi and Achiron offered this advice: «Training teachers to recognize and address any
biases they may hold about different groups
of students — boys and girls, socio - economically advantaged or disadvantaged students, students
from different ethnic or cultural traditions — will help them to become more effective teachers and ensure that all students make the most
of their
potential.»
• Revised ZF 6HP26 transmission with «Quickshift» system that cuts shift times by 50 % and enables double downshifts • New 40/60 rear -
biased torque split for the all - wheel drive system reduces understeer when powering out
of bends and provides for better modulation
of line and attitude by «throttle steering» • Retuned Continuous Damping Control (CDC) system, stiffer suspension bushes and uprated rear anti-roll bar benefit body control, steering response, turn - in and balance • Increased 50 mm rear track improves grip and stability • Lightweight, 20 - inch, 10 - spoke alloy wheels offer 10 kg (22 lb) weight saving per car, reducing unsprung and rotating mass and improving brake • 275/35 ZR20 Pirelli Ultra High Performance tyres • Advanced ESP system fully exploits
potential of the most powerful W12 engine and improved chassis • Standard - fit carbon - ceramic brakes provide fade - free braking and contribute a 20 kg (44 lb) reduction in rotating and unsprung mass
from the front axle.
This book provides new insights into the nature
of political
bias with regards to evidence and critically considers what an «improved» use
of evidence would look like
from a policymaking perspective.Part I describes the great
potential for evidence to help achieve social goals, as well as the challenges raised by the political nature
of policymaking.
Personally, based on the lack
of numbers
of cases for comparison, lack
of discussion
of limitations and
potential bias I would conclude very little
from this study.
«However, compensation for a different
potential source
of bias in SST data in the past decade the transition
from ship to buoy - derived SSTs, might increase the century - long trends by raising recent SSTs as much as 0.1 °C, as buoy - derived SSTs are
biased cool relative to ship measurements»
Another source
of short - lifetime
bias in the community probably comes
from a calculation used to compare the greenhouse consequences
of different gases, called the Global Warming
Potential (GWP)[13].
The IPCC range, on the other hand, encompasses the overall uncertainty across a very large number
of studies, using different methods all with their own
potential biases and problems (e.g., resulting
from biases in proxy data used as constraints on past temperature changes, etc.) There is a number
of single studies on climate sensitivity that have statistical uncertainties as small as Cox et al., yet different best estimates — some higher than the classic 3 °C, some lower.
S1 which removed alternatively (a) all tree - ring data or (b) 7 additional long - term proxy records associated with greater uncertainties or
potential documented
biases (showing the temperature reconstruction was robust to removal
of either
of these datasets), we here removed both data sets simultaneously
from the predictor network (Fig.
Separate
from the
potential northern
bias, are you confident that jogs similar to the one recorded in the last century (a well - instrumented century) could not be hidden in the «smear»
of millenniums
of proxy [indirect] temperature data?
When they did this, they discovered some
potential instrument
bias problems with the recent dataset, which seem to have resulted
from the recent transition
of the in - situ ocean sounding instruments
from the old Expendable Bathythermographs (XBT) system, which has a small warm temperature
bias, to the new Argo system, which has a small cold temperature
bias in a subset
of the instruments.
If you (or anyone else) could explain to me whether there is a criterion that differentiates my posts about
potential bias in your (or other posters») analysis
from other posts that also focus on
potential bias in your (or other posters») analysis — outside
of starting orientation or the fact that they elicit more responses — I will heretofore make an effort to respect that criterion as exclusionary.
Please note, questioning the existence
of motivated reasoning is not the same as questioning motivation And certainly it is logical to question the
potential for motivated reasoning
from those who are support «conventional wisdom» --(which in contrast to the
potential of your own
biases — you seem willing to offer as the operational rationale for the reaction among those who disagree with your findings).
Any future metrics
of model behaviour should take account
of potential biases arising
from this region
of the atmosphere, especially if the stratosphere is poorly resolved as is the case in HadSM3
Re «Gixxer Boy» comment above, since you have widespread acceptance for impartiality (however grudging and qualified
from the Warmists) it it possible that you could act as a collecting and reporting body for compiling conflicts
of interest and
potential bias among AR5 authors?
If however I move nearer to Earth and allow my domain knowledge more freedom to assist, which
of course risks
bias because all knowledge about a conflicted domain comes with
potential and in fact (on aggregate) likely
biases from both sides, my opinion is different.
The scenario encapsulates so much BS
from assumptions, ignorance
of observational trends, rational action on big and apparent dangers, and then there is the data sets, the models, the
potential for
bias, did I mention the assumptions.
A rigorous check on the
potential introduction
of bias from a failure to consider vulnerability reduction in normalization methods is to compare trends in geophysical variables with those in the normalized data.
We can estimate the
potential magnitude
of the ice mass
biases by noting that if the average velocity prediction
bias of ~ 5 mm / yr evident in Figure 5 is developed over ~ 2 × 10 ^ 6 km2, an area somewhat smaller than that
of West Antarctica, this would cause an apparent but spurious ice loss
of ~ 33 Gt yr - 1, which is a significant fraction
of all published ice mass rates derived
from GRACE [Velicogna and Wahr, 2006; Chen et al., 2006; Ramillien et al., 2006; Sasgen et al., 2007a].
Not only that, but there is increasingly compelling evidence that the recent short - term slowdown in the surface temperature record was much less pronounced than previously estimated, if rapid Arctic warming is fully reflected, along with
potential biases from the changing mix
of sea surface temperature measurement sources in recent years.
However, compensation for a different
potential source
of bias in SST data in the past decade — the transition
from ship - to buoy - derived SSTs — might increase the century - long trends by raising recent SSTs as much as ~ 0.1 deg C, as buoy - derived SSTs are
biased cool relative to ship measurements [10 — Worley et al 2005]
«Despite the wealth
of metadata that is now available, it is not possible to estimate the
biases in an exact manner so an attempt has been made to assess the
potential uncertainties in the
biases that arise
from assumptions made in the process
of aggregating the information.
(2) thou shalt not fudge the data (3) thou shalt not invent arbitrary statistical methods to suit thy data (4) thou shalt not indulge in any form
of bias e.g. thou shalt not employ incomplete, highly selective, subjective literature reviews (6) in the interests
of transparency and replication thou shalt not hide the data or code (7) thou shalt not make vague or exaggerated statements unsupported by evidence (8) thou shalt not tolerate actual or
potential conflicts
of interest (9) thou shalt not allow political interference to compromise scientific integrity (10) thou shalt not use unvalidated computer models (11) Thy university shall insulate undergraduate fees
from research expenses and require research to be self supporting independent
of the teaching.
Perhaps you could account for
potential sources
of bias, like over-policing, by controlling for things like the frequency
of police visits and neighborhood demographics, but if such a genuinely thoughtful model resulted in a map that differed
from the traditional distribution
of «crimes» it wouldn't score very well.
If the «maternal wall,» or the mommy track, as we know it, is a form
of gender
bias, then women lawyers are, in fact, being precluded
from higher earning
potential because
of their family obligations.
As a viewer
of the Canadian broadcasting system, moreover, I find rather patronizing — not to mention alarming — the suggestion that the government's regulator must protect me
from potential editorial
biases.
Those who question the validity
of some
of the comparisons
from the insurance providers because
of potential bias will find an alternative with this option.
Also, we used objective approaches to quantify neighbourhood attributes that allowed us to partially control for
potential reverse causality due to depressed individuals tending to exhibit negative cognitive
bias resulting in negative thoughts and perceptions.65 Residential self - selection
bias is likely to be a trivial source
of reverse causality in this study because Hong Kong's high levels
of population density (6760 people / km2) and low percentage
of developed land (less than 25 %) 66 limit most residents» choice
of accommodation and 37 %
of Hong Kong older adults live in public rental housing.67 Given the satisfactory response rate and the level
of similarity in depressive symptoms and sociodemographic characteristics
of participants recruited
from two types
of recruitment centres, the findings
from this study are likely to be generalisable to the population
of Chinese Hong Kong older adults matching the study eligibility criteria and other populations
of older adults living in similar ultra-dense metropolises
of Southeast Asia.
We used EHCs as recruitment sites because they provide health - related information that can be used for eligibility screening purposes, and their clients are usually willing to participate in health - related studies endorsed by the Department
of Health, HKSAR.37 Although EHCs» clients are representative
of the general population
of older adults in terms
of age and SES, 37 they tend to be more health conscious.38 To examine the
potential bias (better mental health) associated with recruiting participants
from the EHCs, we recruited approximately 30 %
of the sample (n = 258)
from elderly community centres with no formal provision
of medical and health services.
So far
from these topics being off - limits, any MHP seeking appointment in a court case needs to fully inform the parties prior to their consent [123],
of information about the following kinds
of potentials for
bias and agenda: whether the MHP has been married or divorced, and how many times, and under what kinds
of circumstances, and how the MHP currently feels about those events; whether, if divorced, the MHP went through litigation over custody or property, and such details as whether the MHP had problems paying or receiving child support, as well as the custody arrangements
of the MHP's own children and how these worked out and everyone's feelings about them; the MHP's own personal experience taking care
of and spending time with children, within and without the scope
of «parenting», and with regard to parenting, whether that was parenting as a primary caregiver, married or single parent, with or without household and third party help, or as a working parent or stay - home parent, and for how many children, and for how long, and the outcomes
from all
of that; i.e. how much time has this person actually spent caring for children on his or her own, and how well did this person's own family systems function, and is this person in fact an «expert» in creating a functioning family and raising happy, healthy, successful children with good outcomes, nay «best» outcomes, thoroughly well - adjusted and having reached the very pinnacles
of their innate
potential.
In addition, another limitation arises
from the use
of self - report measures, that introduces issues
of potential reporter -
bias and shared method variance.