This is an important subject for future studies with
larger samples powered specifically to address this question.
Not exact matches
The
Power Ratings, however, are based on historical data that have proven to add value over a
larger sample size than this year's eight games.
Its
large sample size provided the
power to detect differences in rare adverse outcomes.
The strengths of the study include the ability to compare outcomes by the woman's planned place of birth at the start of care in labour, the high participation of midwifery units and trusts in England, the
large sample size and statistical
power to detect clinically important differences in adverse perinatal outcomes, the minimisation of selection bias through achievement of a high response rate and absence of self selection bias due to non-consent, the ability to compare groups that were similar in terms of identified clinical risk (according to current clinical guidelines) and to further increase the comparability of the groups by conducting an additional analysis restricted to women with no complicating conditions identified at the start of care in labour, and the ability to control for several important potential confounders.
Those
samples turned out to be
large enough to
power a massive comparative analysis.
A
larger sample, he says, gives researchers a better predictive
power about the water that the system contains.
«
Larger sample size gives you more
power,» said Jesse Poland, assistant professor in the Departments of Plant Pathology and Agronomy at Kansas State University.
With its
large sample size, this study had the
power to find copy number variants with
large effects that occur in more than 0.1 percent of schizophrenia cases.
Despite the very
large sample size, we were not able to investigate some mutation and risk groups with adequate statistical
power.
The corollary, of course, is that
sample sizes will need to be much
larger to detect them with any kind of
power.
Due to the
large sample numbers required for statistical
power and the limited budget, we couldn't sequence all of them.
Lastly, while our
sample sizes are
large overall, we had limited
power to examine the potential effect of rice consumption on certain cancer sites with relatively low incidence in the US.»
Sample Pricing for the
Power - Catamaran Yacht and Chabil Mar Villa Option (Seafront
Larger) is a follows: (Note: Upgrades to 2 - Story Seafront Premier or Smaller Optional Villas is available upon request)
Meanwhile, high - resolution hurricane models can forecast the growth and path of tropical storms, but would require much greater computer
power or eons of time to simulate the
large samples of storms required for climate - change studies.
Preliminary data are derived from a survey of a
sample of
large power plants, and final data come from a census of all
power plants.
If CPDN doesn't have the computing
power to do a
large enough
sample then no climate modelling group does.
However, even with these social services, poorer economic circumstances do appear to be associated with mental health problems in Norwegian children.27 31 32 Yet, in order to study the relatively small population of poor children with adequate
power,
large samples, such as in the present study, are required.
A Hedge g effect size estimate was used in the
power analysis because it includes a correction for
sample size and is therefore more appropriate to use with small
samples.26 The interpretation of g is similar to the interpretation of the Cohen d: 0.80 or greater is considered
large, 0.50 to 0.79 is considered medium, and 0.20 to 0.49 is considered small.27 A minimum effect size of g = 1.0 was expected based on prior uncontrolled studies of CBCT and the broader psychotherapy research for PTSD.28 An effect size of g = 1.0 represents an approximately 25 - point improvement in total CAPS scores.
However, even with a
large sample like ours the
power to detect interaction effects is limited, and some interaction effects may have been left undetected.
Regarding
sample power, all three
samples were far beyond the suggested 10 cases for each observed variable threshold (Osborne & Costello, 2005; Singh et al., 2016) and
larger than 300 or 500 cases (Tabachnick & Fidell 1996; Comrey & Lee, 1992), suggested as sufficient
sample size for factor analysis.
For these reasons, detection of sex differences for cortical thickness in SUD populations may require
larger samples than those utilized here and perhaps a focus on younger or older populations; in other words, the lack of sex differences demonstrated here may be because of limited
power and our adolescent focus.
Research also needs to adequately control for covariates that may confound the effects of PAE, such as family processes (eg, problematic parenting or family conflict) and parental characteristics, especially maternal substance use.1, 12 Researchers also need to account for genetic liabilities that are shared by parents and offspring.13, 14 A woman's genetic risk of substance use could be passed down to her children and subsequently affect their behavior.15 Research on the consequences of PAE, therefore, needs studies with
large samples, with sufficient statistical
power to detect small effects, using analytical methods and designs that can account for potential confounds, including factors that are not measured.