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Generally, an existing effect may be accidentally missed due to a too small sample size, an unfortunate choice of concentrations or just by chance [14].
An effort could have been made to create panel data across these databases based on the demographic characteristics of the households; however, this might have proved impossible or the results might have involved a too small sample size for the panel period of 1998 to 2010 in the Mekong delta region.
One possible explanation for these finding might be a type 2 error because of a too small sample size.
Thus, one reason for the wide LOAratios in our study may be a too small sample size.
Any comparisons between the SRMs of these two age groups where not possible to do due to a too small sample size (n = 17, n = 47).
The primary sector was excluded from the analyses because of a too small sample size (n = 14 for men and n = 14 for women).
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It would be unethical to subject patients (or animals) to risk and discomfort if a too-small sample size does not allow significant scientific conclusions [4].
Moreover, inadequate study design such as a too-small sample size and/or the inadequate controlling for certain confounders (such as age and gender) should also be considered as constituting the underpinning for such differing results.
It is not possible to determine whether this lack of association is due to a too-small sample size or actually mirrors a non-causal situation; however, the (non-significant) calculated estimates did not indicate the possibility of a major effect.
Limitations are however acknowledged in the majority of the studies (n = 18) with statements that aspects such as a retrospective design, too small sample size, the use of charges and fees, a high drop-out rate and wide confidence interval might limit the validity of the results.
d Too small sample size for reliable estimation.
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