Sentence examples for bias associated with data from inspiring English sources

This way can reduce bias associated with data collection at one point of time or same respondents (Atwater & Carmeli 2009).

Existing critical appraisal tools, such as the STROBE guidelines[ 56], do not address issues of bias associated with data linkage.

The use of Machine Learning technologies to do this provides the advantage of making no prior assumptions about the nature of the data and eliminating natural bias associated with data processing carried out by humans.

LCA models do not rely on traditional modeling assumptions (normal distribution, linear relationship, homogeneity) and are therefore, less subject to biases associated with data not conforming to model assumptions [ 1- 4].

In order to understand sampling biases associated with data generation, we mapped the location of PCR successes and failures along the genome to determine whether successful PCR amplifications were clustered with respect to their relative positions on the A. thaliana genome.

Any biases associated with data-collecting, and the long-term predictive value of the factors revealed to be significant in this study (psychosocial functioning, beliefs regarding antidepressant medication, self-efficacy, and neuroticism) are yet unknown.

To minimize the bias associated with missing data, multiple imputation was utilized to replace missing data prior to the analyses [ 14, 15].

We opted for using incidence data obtained from the CI5plus database to ensure a higher homogeneity of data quality, which may be expected to minimise the potential bias associated with using data obtained from sources more heterogeneous regarding their quality standards.

Characteristics of participants with and without missing data were also compared using χ² tests to assess any risk of bias associated with missing data.

Despite the potential bias associated with the data in 2003, we are still confident of the results of wavelet analysis for the other years of our study period.

Like all observational studies, a limitation is the potential for selection bias associated with missing data arising from non-response.