Sentences with phrase «sample bias issues»

The study itself has some sample bias issues, as well as some issues that come with owners rating behavior via C - BARQ — but the sample size is quite large (852 dog ownerss) and I think the results are interesting enough to share as they do add to the dogs / aggression data out there.

Not exact matches

An overview of our new methodology can be found here, but today, we want to dig a bit deeper into one of the primary issues that we're aiming to correct: sample bias.

, but today, we want to dig a bit deeper into one of the primary issues that we're aiming to correct: sample bias.

A common issue is that nutritional studies are often plagued with a number of biases and are often poorly designed (small samples, cross-sectional, etc.) Still, it makes as much sense to use the 6 month marker for all babies for eating solids as it does expecting your child to walk right at 12 months, to speak at 15 months, and to eliminate on a potty at 24 months on the dot.

There are also issues with small sample sizes and the interpretation of results as well as non-response bias from people declining to be interviewed.

Sample members taking the survey would sometimes leave answers blank or respond that they did not know.This issue would be okay if we knew the missing values were random, however most often there is systematic reasons for why some people leave answers blank thus presents bias into the model.

I suspect the issue is less sample size, and more likely selection bias.

Indeed, globally averaged systematic observation biases, sampling array issues and steric changes below 1500m depth together are smaller than the error of SLRES.

We have constructed four different chronologies to illustrate some of the issues associated with chronology sampling error and bias, and to compare these between a single - site chronology and a chronology developed from a much larger region.

While these methods are heavily used, there are concerns regarding the distributions of available measurements, how well these sample the globe, and such issues as the degree to which the methods have spatial and seasonal biases or apparent divergence in the relationship with recent climate change.

They all have their short - comings but linking back to other physical data like this can be a good way of spotting sampling issues or dubious «bias corrections».

Some issues he raised (sampling bias) were things I had already shown were not a problem.