Sentence examples for minimize sampling bias from inspiring English sources

All chamber measurements were conducted between 08 00 and 14 00 local time to minimize sampling bias introduced by the time of day (Knowles et al. 2015; Hsieh et al. 2016), and measurements were taken monthly from January 2010 to May 2011 at TC and NT and from January 2010 to December 2010 at TN.

Kish grids are matrices containing random numbers for different sized households that facilitate random selection of individuals within households and help minimize sampling bias.

This classification procedure was reiterated ten times to minimize sampling bias.

We attempted to minimize sampling bias by constructing the TM sampling frame from multiple, frequently updated sources.

Besides, stratified clustered sampling method and a relatively high response rate with the help of local government minimize sampling bias.

To minimize sampling bias we rarified OTU matrices using the smallest number of reads observed in any one horse before conducting the UniFrac and PCoA analyses.

All captures were carried out with a species-specific walk-in baited trap [14] and following the protocol described in detail elsewhere [15], [16], [17], so as to minimize sampling biases in the comparisons across habitats [18].

To minimize sampling biases, the combined dataset was subjected to coverage filters for missing data.

Extensive efforts to recruit from all segments of the community-dwelling older adult population in order to minimize sampling biases in our sample, but efforts were not entirely successful in obtaining a fully representative sample [ 74].

Comparisons between traditional similarity indices and Sorensen Chao, which minimizes sampling biases, indicated that limited sampling effort consistently reduced apparent similarity between SF and OG and that similarity between SF and OG is actually higher than previously appreciated.

The adoption of this formula was informed by the desire to draw a representative sample from the target population and also to minimize sampling error and bias.