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Since development of infection was a rare event in our sample, lack of significance could be related to low power.
These limited numbers of prior studies showed mixed results and were hampered by either small sample, lack of quantification of LVSI, or lack of a validation set.
The strengths of this study are: a well-examined cohort sample, lack of age and gender bias and a good quality of longitudinal follow-up.
This study is severely limited by small sample, lack of control, no details of recruitment, unvalidated and subjective outcome measures and poor reporting of acupressure.
Despite our large sample, lack of power is probably the reason why an interaction effect was not detected in our final analysis, since the estimates of the interaction effect is highly similar for all three sets of analyses.
The participants represented families that were exposed to psychosocial risks such as poverty (income less than 1000€ per household, 35% of the sample), lack of social/family support (27.8%), excessive demands on the mother (50%), mental health disorders of the mother (31.2%) or under-age mothers (6.2%).
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These include lack of an overall sampling design, biases in the collection of isolates from animal samples, non-compliance of state departments of public health with NARMS protocols, lack of such basic data as genotype information on the organisms isolated, and, for animal samples, lack of measurements of bacterial load.
A Mantel-Cox logrank test was used to compare survival curves after determining that assumptions of the test were met (e.g., independent, random samples; lack of correlation among covariates).
Other limitations noted during the literature review include the overuse of clinical samples, lack of longitudinal data, appropriate comparison groups, large samples, and ethnic group analysis.
For OTA, these can be due to an insufficient number of samples, lack of representative sampling of all relevant foods, or difficulties in obtaining representative long-term food consumption estimates.
Several design issues may have undermined the existing study results, including small study samples, lack of long-term follow-up, incomplete follow-up, and lack of control groups (e.g. OA patients).
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CEO of Professional Science Editing for Scientists @ prosciediting.com