Sentences with phrase «substantial bias»

This is a crucial step for most education analysis, because omitted variables correlated with independent variables can cause substantial bias in our estimates.

Frequent readers will know that I have argued for a while that substantial biases exist in surface temperature records.

(But I wonder if that assumption might not introduce substantial bias.)

So while Yogi Berra's mantra of «You can observe a lot by watching» may be true, Biesanz says, mere observation comes at the cost of substantial bias.

One might be concerned that even with de-duplication there would be substantial bias in targeted capture.

As such, it seems to me (and Nic Lewis also brought up this point in his CA post) that if there were a substantial bias in the E = 1.0 method, the Otto et al estimate from 1970s - 2000s should be substantially larger than the base - period through 2000s estimate, right?

This leaves us with the option of omitting unobtainable variables resulting in substantial bias, or measuring what we can and using proxies for the rest.

One study by Von Storch et al. (2004 — henceforth «VS04»), however, concludes that a substantial bias may arise in proxy - based estimates of long - term temperature changes using CFR methods.

But, they argued that a substantial bias could be found in the Unadjusted and Partially adjusted datasets.

Pond formation and small floe sizes in dispersed ice (and coastal effects on the radiometer signal) contribute to substantial biases in the derived ice concentration data.

Nevertheless, the data collection was done very conscientiously by an experienced agency, and there is no reason to assume that there was a substantial bias in the sample.