Sentence examples for lack of statistical analysis from inspiring English sources

Hoppe et al. [4] criticise Pilling et al. [3] for a lack of statistical analysis.

Through reviewing 15 published studies, we found that the primary problems associated with this field of research are: small sample size, varying methodologies, lack of statistical analysis, inappropriate use of constructs, and lack of continuity among studies.

The primary problems associated with this field of research are: small sample size, varying methodologies, lack of statistical analysis, inappropriate use of constructs, and lack of continuity among studies.

In patients undergoing treatment with opening-wedge osteotomy by hemicallotasis for osteoarthritis of the knee, 2 weeks of prophylactic antibiotics was determined to be optimal, although the study was limited by a lack of statistical analysis.

Through reviewing 15 published studies, we find that the primary problems associated with undergraduate evolution education research are: small sample size, varying methodologies, lack of statistical analysis, inappropriate use of constructs, and lack of continuity among studies.

Despite the breadth of material regarding the removal of inconsistencies in standards, fees, permitting procedures and other state regulations detailed above, there is a lack of statistical analysis of the direct effect of policies on the growth of the CHP industry.

Q1 (lack of research skills), Q2 (lack of understanding of statistical analysis), Q3 (inability to apply research findings to individual patients with unique characteristics) and Q4 (insufficient time) were the barriers having the greatest weighting for the first of the factors.

Undergraduate (professional/graduate) were associated as a barrier "lack of research skills" OR 1.57 (95%% CI 1.04 to 3.25) and "lack of understanding of statistical analysis" OR 1.90 (95%% CI 1.22 to 2.96).

The respondents rated "lack of understanding of statistical analysis" (52.8 %) and "an inability to apply findings to individual patients having unique characteristics" (46.9 %) as significant barriers.

Likewise, respondents giving Q1 (lack of research skills) as a barrier can be detected in the figure at a very short distance from those also considering that Q2 (lack of understanding of statistical analysis) was a barrier and also at a short distance from those considering Q3 (inability to apply research findings to individual patients with unique characteristics) to be a barrier.

The MCA model established two groups of similarities regarding the different barriers; the "lack of understanding of statistical analysis", "insufficient time" and "understanding of the English in which articles are written" barriers were weighted more heavily regarding in the first group (the second factor on MCA) and the rest barriers on the second group (first factor on the MCA).