Unbiased definition

Unbiased means an independent review organization that complies with all of the following:
Unbiased in this context means person(s) “who do not have unresolved personal, professional or financial conflicts of interest with” Respondent (42 C.F.R. § 93.310(b).
Unbiased means that the AOA process does not have a predisposition toward one alternative over another; it is based on traceable and verifiable information.

Examples of Unbiased in a sentence

  • To this end, the State has developed guidance to encourage the Contractor to consider the following set of guiding principles in their design and implementation as building blocks of member enhancements and incentives: ▪ Culturally sensitive – Ensuring cultural sensitivity is necessary to provide successful outcomes, as cultural norms differ and may need to be incentivized differently; ▪ Unbiased – Creating unbiased enhancements and incentives are necessary to comply with federal laws.

  • To this end, the State has developed guidance to encourage the Contractor to consider the following set of guiding principles in their design and implementation as building blocks of member enhancements and incentives: • Culturally sensitive – Ensuring cultural sensitivity is necessary to provide successful outcomes, as cultural norms differ and may need to be incentivized differently; • Unbiased – Creating unbiased enhancements and incentives are necessary to comply with federal laws.

  • Unbiased recursive partitioning: A conditional inference framework.

  • The Locum will direct clients/customers to at least two firms with no connection to the Locum and local to the client that may wish to take them on or to the Unbiased website.

  • Unbiased data exploration benefits from the use of tools that minimize data transforms and such tools enable the development of heuristic perspective from data prior to any subsequent processing.


More Definitions of Unbiased

Unbiased means that the integrity of the data must be demonstrable.
Unbiased in this context means person(s) “who do not have unresolved personal, professional or financial conflicts of interest
Unbiased means that its average performance will center on the true value of the quantity being estimated. Note that an unbiased estimator can have a wide or narrow variance, which measures how much the estimate ‘bounces around' on average. Unbiasedness is only one desideratum for ‘good' estimators.
Unbiased means that we separate our personal opinions - such as an individual's religious beliefs or political ideology - from the subjects we are covering. We do not approach any coverage with overt or hidden agendas.
Unbiased means that a beta estimate on average is correct, even though it can be very noisy. Since the PCR solution differs from this, it will be biased, meaning that it will be incorrect on average. However, it is substantially less noisy, leading to overall more accurate predictions.
Unbiased means right on average. Since the sample mean, of say 30 independent draws of a random variable, has been proven to give an unbiased estimate of the variable’s true population mean, you had better find that the average (across all 100,000 experiments) result computed here is very close to the true population mean. And the central limit theorem tells you that as a sample size gets larger, in this case reaching the not-so-enormous size of 30 observations, the means you compute should have a probability distribution that is getting close to normally distributed. By plotting the results from the
Unbiased means right on average. Since the sample mean, of say 30 independent draws of a random variable, has been proven to give an unbiased estimate of the variable’s true population mean, you had better find that the average (across all 100,000 experiments) result computed here is very close to the true population mean. And the central limit theorem tells you that as a sample size gets larger, in this case reaching the not-so-enormous size of 30 observations, the means you compute should have a probability distribution that is getting close to normally distributed. By plotting the results from the 100,000 experiments, you can see how close to normally-distributed the sample mean is. Of course, we would get slightly different results if we did another set of 100,000 random trials, and it is best to use as many trials as possible – to get exactly the right answer we would need to do an infinite number of such experiments.