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Finding so-called prions in skin samples may lead to early diagnosis of Creutzfeldt-Jakob disease.
PCR inhibitors, which are often present in clinical samples, may lead to false negative test results.
It is well established that variations in experimental procedures and uncontrolled conditions (e.g. socio-geographical origin of samples) may lead to systemic measurement biases.
Furthermore the utilization of clinical samples may lead to biased results [ 6, 9].
However, such multiple samples may lead to another problem: sample dependence of outputs [ 26].
First, differences in geographical characteristics of samples may lead to differences in score distributions.
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Rock heterogeneity in the sample may lead to an incorrect estimation of relative permeability.
Considering the εs dependence of the mechanical behavior in RT-HPT, it is recognized that the ε → α′ transformation in the RT-125 sample may lead to relative softening behavior compared to the γ → ε transformation in the RT-92 material.
The unobserved heterogeneity in the characteristics of women in the sample may lead to unobserved selection bias.
Thus, the excess amount of potassium present in the water sample may lead to nervous and digestive disorder (Tiwari and Mishra 1985).
A higher sodium intake may cause hypertension, congenial heart diseases and kidney problems (Singh et al. 2008) and the excess amount of potassium present in the water sample may lead nervous and digestive disorder (Tiwary 2001).
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