Sentence examples for sample size bias from inspiring English sources

Based on research investigating the sample size bias, we predicted that participants' judgments of average duration would increase as the sample size increased.

Across four studies, we demonstrated a sample size bias for estimates of average duration with different judgment types (numeric estimates and comparisons), study designs (between and within-subjects), and paradigms (observing images and performing tasks).

However, this value was lowered to match up the low sample size that emerged from the snowball sampling of camel herders so as to avoid sample size bias during analysis.

Indeed sample size bias could explain observed deviation form Hardy Weinberg and changes in allele frequencies in Lossi post-epidemic sample for some loci as D1s548 and D16s2624.

However, some of our archaeal results show the opposite trend, arguing that archaeal diversity trends are not an artifact of total sample size bias.

Nevertheless, our application of AICC, may correctly adjust AIC values for small sample size bias, but should not be interpreted to completely preclude the possibility of our large model overfitting a relatively small dataset.

This was to ensure that possible sample size biases associated with studies of this nature do not occur.

The small available sample size biased our results conservatively to the null hypothesis.

Previous genetic association studies in sepsis have had problems with reproducibility as a result of a number of issues, including small sample sizes, bias resulting from selection of candidate genes, the influence of multiple genes and environment on phenotype, epigenetics, and a lack of understanding of the patterns of variation in the human genome.

However, reliance on a single source or type of law enforcement data raises important methodological concerns, namely self-censorship, coverage gaps, unknown network boundaries, limited sample sizes, biased samples, and potential incongruence between the content of the conversation and subsequent action (Varese 2012).

Thus, their impact may become clearer once studies circumventing methodological flaws like small sample sizes, biases in sample ascertainment (e.g., population stratification) or the testing of multiple subsamples and subphenotypes without addressing the multiple testing issues are performed [ 142].