SAMPLING BIASES
\sˈamplɪŋ bˈa͡ɪəsɪz], \sˈamplɪŋ bˈaɪəsɪz], \s_ˈa_m_p_l_ɪ_ŋ b_ˈaɪ_ə_s_ɪ_z]\
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The introduction of error due to systematic differences in the characteristics between those selected and those not selected for a given study. In sampling bias, error is the result of failure to ensure that all members of the reference population have a known chance of selection in the sample.
By DataStellar Co., Ltd
