Examples of using Statistical testing in English and their translations into Portuguese
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No statistical testing of hypothesis was required.
The data obtained were submitted to appropriate statistical testing.
Statistical testing was undertaken considering p values.
Since then, it has been refuted both by political experience and statistical testing.
Before statistical testing, data were checked for normality.
Responses were categorized by frequency and average responses andhave undergone statistical testing.
No formal statistical testing was performed on this endpoint.
Placebo+ MTX, but endpoint was exploratory not included in the hierarchy of statistical testing and has therefore not been controlled for multiplicity.
In all statistical testing, significance levels of 5% were used?< 0.05.
Separating real differences from mirage differences is the goal of statistical testing, and you will learn a technique for doing that in this lecture.
Statistical testing was proceeded using the total data from the two rheumatologists and re-analysis by the expert.
Through the development of algorithms and statistical testing, research can be carried out faster and more accurately.
Statistical testing of ordinal data ratio of male and female, age of the patient, weight of the patients, and type of surgery was done using Fisher's exact test.
Table 1 shows the mean change in severity score in MBS after 12 weeks with the associated statistical testing for the difference vs. placebo for Trials 1 and 2.
The software will be added to a statistical testing tool now under development by master's candidate Vinícius Carvalho and may be employed in a variety of other systems.
All p-values< 0.001 for all comparisons between Xiapex and placebo, except forPIP joints in Study CORD II which was not eligible for statistical testing due to a hierarchical testing procedure.
However, a test statistic is specifically intended for use in statistical testing, whereas the main quality of a descriptive statistic is that it is easily interpretable.
In terms of statistical testing, the options for working with unbalanced data is the test t and wald-f, but still left to the researcher to decide between the various options available in the packages, it is not always the default options are the most suitable.
In addition, the concept of power is used to make comparisons between different statistical testing procedures: for example, between a parametric test and a nonparametric test of the same hypothesis.
A randomised, double-blind, multi-national, placebo controlled, phase III study(PATENT-1) was conducted in 443 adult patients with PAH riociguat individual dose titration up to 2.5 mg three times daily: n=254, placebo: n=126, riociguat“capped” dose titration(CT)up to 1.5 mg exploratory dose arm, no statistical testing performed; n=63.
There are also standards for statistical testing of new CSPRNG designs: A Statistical Test Suite for Random and Pseudorandom Number Generators, NIST Special Publication 800-22.
We analyzed the frequency distribution of the demographic, social, clinical, andepidemiological characteristics of the patients and conducted statistical testing of differences between proportions. The level of significance was set at 0.05.
Caution advises the need for robust statistical testing, to decrease error and enhance reliability for the detection of a disease with marked increase in frequency, and estimates of ranking second as most prominent chronic non-communicable disease.
Indicators such as the incidence of bed-related falls,central line-associated infections, and absenteeism were identified both by means of statistical testing and within the focus group and photo walkabout data as risk factors for patient safety.
Although the provision of appropriate statistical tests is an important quality criteria of abstract reporting,details about statistical testing were provided in only 11.5% of the evaluated abstracts; and interestingly, many retrospective studies the major study design in our report had a potential sample of patients, but no statistical analysis was applied.
The authors classify scientific journals as favorable, unfavorable or indifferent/ dubious, basically drawing on four criteria:1 statistical testing requirements; 2 reproducibility; 3 generalization of results, and 4 highly limited length of the text.
Confidence intervals are closely related to statistical significance testing.
Rather than being wrong, statistical hypothesis testing is misunderstood, overused and misused.
Statistical hypothesis testing is considered a mature area within statistics, but a limited amount of development continues.
The graphical analysis and statistical hypothesis testing demonstrated that the gamma distribution was appropriate to model the calcium intake.
