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NNT estimates close to 1 andcan leadlow sample size
low statistical powerresultingfrom small sample size
what is meant by low statistical power andcan resultfrom small sample size
Study Limitations resultedThe small sample size
These factorscontributedto a small sample size
Time constraint ... one of themleadto a small sample size
Local studiesledto small sample size
There were four limitations identified in this studyresultedin small sample size
statistical power ... andresultingfrom the small sample size
the studycausinga small sample size
the studywas designedwith small sample size
the reduced powerresultingfrom the small sample size
powerresultingfrom small sample size
Studiesto causea small sample size
resultscausessmall sample size
ResultsledThe small sample size
The trial ... one hospitalledto a small sample size
Low recruitmentcan leadto small sample size
the statistical limitationsresultingfrom the small sample size
when attendance may be lowerpossibly contributingto small sample size
The errorresultingfrom small sample size
Other limitationsresultfrom a small sample size
That combinationcan leadin small sample size
to work thereleadingto a small sample size
a type II errorresultingfrom the small sample size
peopleleadto a small sample size
the biasresultsfrom a small sample size
by loss(passive) was ... causedsmall sample size
participantsresultedin small sample size
by the numbers(passive) caused bysmall sample size
The inclusion criteriaresultedin a small sample size
patients ... good outcomesledto small sample size
the high LDcould ... resultfrom a small sample size
good outcomesledto small sample size
this clinicis designedfor a small sample size
the wide CIresultedfrom the small sample size
Strict in- and exclusion criteria in combination with a low incidence rate of the diseaseledto a small sample size
Potential confounding variables ( like lower SES and education ) andinfluencedsmall sample size
retrospectivedesignedwith small sample size
this clinically significant differencemay have resultedfrom a small sample size
to the low power of null hypothesis significance testingleadingto the low power of null hypothesis significance testing
in large standard errors of means and low statistical powerresultedin large standard errors of means and low statistical power
the power of the study to detect significant resultscould have influencedthe power of the study to detect significant results
in some of the large standard errors and did not provide adequate power to detect statistically significant group differencesresultedin some of the large standard errors and did not provide adequate power to detect statistically significant group differences
to low statistical power for some analysisleadsto low statistical power for some analysis
the precision of the results and the statistical power of the testsinfluencesthe precision of the results and the statistical power of the tests
in limited power to detect differences in the efficacy outcomesresultedin limited power to detect differences in the efficacy outcomes
in a small statistical power andresultingin a small statistical power and
to a small effect sizeledto a small effect size
in insufficient statistical power to identify weak effectsresultingin insufficient statistical power to identify weak effects
to low statistical powerleadingto low statistical power
in low statistical powermight have resultedin low statistical power
in low statistical powerresultingin low statistical power
to have low statistical powercan leadto have low statistical power
in a large standard errormight resultin a large standard error
to a lack of statistical powerleadingto a lack of statistical power
to considerable lack of statistical powerleadsto considerable lack of statistical power
in insufficient statistical powerresultingin insufficient statistical power
to possibly less significant resultsleadingto possibly less significant results
to large confidence intervals around risk estimatesleadingto large confidence intervals around risk estimates
in limited statistical powerresultedin limited statistical power
to non - significant resultscould leadto non - significant results
The non - significant results(passive) may have been caused byThe non - significant results
in lower study powerresultingin lower study power
to a poor statistical powerleadingto a poor statistical power
the statistical power of our analysismay have influencedthe statistical power of our analysis
to insufficient power and type 2 errormay leadto insufficient power and type 2 error
to insufficient power and type 2 errormay leadto insufficient power and type 2 error
to a design with weak statistical powerledto a design with weak statistical power
in the lack of significant findings on our main outcome measuremight have resultedin the lack of significant findings on our main outcome measure
in limited power to detect differences , in particular for the analyses that considered physical activity levelsmay have also resultedin limited power to detect differences , in particular for the analyses that considered physical activity levels
to lower statistical powerleadingto lower statistical power
in a lack of statistical power for detecting meaningful effectsmay resultin a lack of statistical power for detecting meaningful effects
to failure to detect statistical differencesmight have contributedto failure to detect statistical differences
to a type I statistical errorcould have ledto a type I statistical error
some of the statistical resultsmay influencesome of the statistical results
in differences in resultscan resultin differences in results
in a lack of statistical power ( 61resultedin a lack of statistical power ( 61
in lack of precision for these resultswould resultin lack of precision for these results
in conclusions with insufficient powerresultsin conclusions with insufficient power