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The first is our limited study size.
This may be a consequence of the limited study size.
The limited study size makes statistical analysis difficult, especially in terms of meaningful calculation of implant survival analysis.
However, due to a limited study size of 59 cryptorchidism cases and 108 matched controls, the power to show an association was limited.
The primary limitations in this literature are the inaccuracy inherent in assigning exposure based on job title alone and imprecision due to limited study size.
Our findings can be explained by the following factors: the specific study site where household characteristics tended to be very similar in these remote low income areas, the limited study size, and the lack of control households.
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We did not assess relationships with specific drugs due to limited study sample size.
When tested, hospital-based medication reconciliation interventions have consistently demonstrated reductions in medication discrepancies, though effects on more distal outcomes such as readmission have been less consistent and limited by study size [ 12, 13].
Due to the limited study period sample size was not calculated, and only 123 patients were included in the study which is a small sample.
First of all, due to the limited study number and population size of insulin-treated DM patients, the power of the analysis might be restricted to some extent.
The relatively small sample size limited study power, and we were not able to analyze the effect of severity or duration of diabetes on MRI outcomes.
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