Assay, sample and side - to - side variation were quantified
by analysis of variance and presumptively incorrect decisions related to high - risk disease were determined using the result from each MRD assay, the mean MRD in the patient as the measure of the true value, and each of 3 different MRD cut - off levels which have been used for making decisions on treatment.
The proteins considered in the unsupervised hierarchical clustering analysis were quantified in individual samples and found to be significantly different in abundance
by analysis of variance (ANOVA p ≤ 0.01, Table S3); while PCA analysis considered all proteins quantified in each individual sample.
Statistical analysis was carried out
by analysis of variance and Student's t test (two - tailed) as indicated.
Associations between continuous AQUA scores and clinical / pathological parameters were assessed
by analysis of variance.
Not exact matches
Many statistical techniques, including
analysis of variance and linear regression, were developed
by evolutionary biologists, especially Ronald Fisher and Karl Pearson.
One - way
analysis of variance was used to compare the mean number
of nutrients that were correctly identified for different labelling systems (continuous data), followed
by Scheffe post hoc testing.
For each stimulation site (entorhinal and hippocampal), we completed a two (stimulation vs. nonstimulation condition)
by three (blocks 1, 2, and 3) repeated - measures
analysis of variance for latency and excess path length.
A one - way
analysis of variance (ANOVA) was used to assess variations in the time spent
by fish in the focal region or in each compartment
of the focal region (front, B1, B2, B3, and B4 for the Top view and top, middle, and bottom for the Side view, respectively) among the experimental conditions.
Exposing stats illusions Shalizi warns «causal - sounding phrases... encourage confusion» in many
analyses of variance studies (where «due to,» «explained
by,» «account for» don't have ordinary meanings).
* P < 0.05, one - way
analysis of variance (ANOVA) followed
by Tukey's post hoc test.
Interestingly, the influence
of APOE ɛ 4 varied as the disease progressed; APOE ɛ 4 was associated with longitudinal FC decreases only for HCs in the single
variance - based
analyses and deteriorated DMN integration in nc - MCIs
by combining the effects
of other loci.
Analysis of haplogroup frequencies using multidimensional scaling and principal component plots, supported by an analysis of molecular variance, showed that the geographic landscape of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic la
Analysis of haplogroup frequencies using multidimensional scaling and principal component plots, supported
by an
analysis of molecular variance, showed that the geographic landscape of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic la
analysis of molecular
variance, showed that the geographic landscape
of Transoxiana, despite its distinctiveness and diversity (deserts, fertile river basins, foothills and plains) had no strong influence on the genetic landscape.
«Overall, results from the
analyses indicate that between approximately 24 per cent and 43 per cent
of the
variance in written composition was explained
by the three language convention measures and that spelling was the main predictor
of written composition for each cohort.
For the purposes
of our
analysis, scores were standardized
by subject, grade, and year to have mean zero and unit
variance in the population
of students attending Massachusetts public schools.
The regression
analyses used to generate fitted values are weighted
by the inverse
of each observation's estimated
variance to account for differences in the number
of respondents from each state; unweighted regressions yield substantively similar results.
Both the Best Evidence Synthesis
by Adrianne Alton - Lee and the recent meta -
analyses on apportionment
of variance shows that the pie is reasonably representative
of the various influences.
An initial mixed model was fit
by performing a split plot repeated measures
analysis of variance (ANOVA) on the rank transformed energy values.
We used a 2 - way
analysis of variance (ANOVA) and Tukey honestly significant difference (HSD) tests to determine the effects
of sex and reproductive status (treatment = intact versus sterilized) on the areas
of the home ranges occupied
by our study animals during the breeding and nonbreeding seasons.
For instance, an influential
analysis by Hawking & Sutton (2009)(link to figures) has suggested that internal climate variability account for only about 20 %
of the
variance over the British isles on a 50 - year time scale.
The first
Analysis of Variance I was asked to perform was
by hand, before even calculators were easily available.
Worked with finance and merchants to improve accuracy and quality
of variance reporting /
analysis by converting planning for $ 2 billion gross margin from top - down to driver based bottoms - up process.
Utilizing solid communication skills combined with the ability to work collaboratively across all level
of the organization, I exceeded operational goals
by creating and implementing strategic plans in line with business objectives; improved production, productivity, product quality, and customer service standards through a system
of identification,
analysis, and swift resolution; completed audits to determine systems improvements; prepared annual budgets; scheduled expenditures; analyzed
variances - initiating corrective actions
Skill Highlights Criminal justice Data
analysis Public service Office administration Crime trends and patterns Team collaboration and leadership Education and Training University
of North Georgia 2016Associate
of Science: Criminal JusticeOakwood, GACriminal Justice TrainingFundamentals
of Criminal Justiceâ $ cents Gained insight into criminal justice system, including history, philosophy, constitutional limitations, and processes used to achieve overall mission and goals.â $ cents Critically evaluated police, courts and corrections divisions, including contributions to criminal justice system and interrelationship.Fundamentals
of Law Enforcementâ $ cents Analyzed and discussed historical and contemporary issues and concepts underlying American policing.â $ cents Examined characteristics and operational mission
of federal, state, and local law enforcement agencies, including their impact on culture on society.Introduction to Social Problemsâ $ cents Investigated methods and theories used
by sociologists to explore and define social natures such as culture, socialization, social organization, social institutions, and social stratification.â $ cents Evaluated problems
of crime and social deviance, including sexual
variance, substance abuse, physical and mental illness, crime and delinquency, and violence in society.
Researchers suggest that meta - analysts calculate a tolerance level around a fail - safe N that is equal to 5 times the number
of effects included in the meta -
analysis plus 10 (the «5k + 10» benchmark).18, 19 Moreover, the association between the standardized effect sizes and the
variances of these effects was analyzed
by rank correlation with use
of the Kendall τ method.
One - way
analyses of variance were used to test for significant overall mean differences
by weight category groupings.
Continuous measures were analyzed
by comparing means across the 3 conditions using
analysis of variance procedures.
This finding is strengthened
by the
analysis of the predictive validity, which highlights that the CERS - M accounts for less than 2 %
of problem - solving performance
variance (Table 9).
Doses
of drugs over the trial were converted to mean daily equivalents
of chlorpromazine and compared across groups
by means
of Kruskal - Wallis one way
analysis of variance; this indicated no significant differences between treatment groups (medians
of daily drugs in chlorpromazine equivalents: cognitive behaviour therapy 425, supportive counselling 517.75, routine care 450; χ = 0.963; P = 3D0.62).
In the current administration, the internal consistency
of the scale was 0.90 and as indicated
by a maximum likelihood exploratory factor
analysis with Varimax rotation, seven factors accounted for 47 %
of the sample
variance.
Bifactor
analysis allows for an examination
of the common
variance shared
by the two MLQ factors and the unique
variance specific to each
of them.
Statistical power
analysis by Visscher [82] has addressed the questions
of rejecting CE models within the classical twin design when the true model is ACE, i.e. there is a significant genetic
variance.
We performed comparisons
of means using
analysis of variance, with planned post hoc
analyses by the Tukey honestly significantly different test; effect sizes were obtained using mean differences with associated 95 % confidence intervals (CIs) and also calculated using Cohen d for purposes
of comparability with related studies.
Similarly, equivalence
of the high and low CU groups was tested
by performing
analyses of variance on key variables (e.g., child adjustment, number
of treatment sessions).
An
analysis of variance demonstrated significant mean differences in egalitarianism between groups regarding reading and interpretation
of religious scripture (p <.006) with the largest difference, as indicated
by Tukeys HSD, between those who interpret scripture literally (least egalitarian), and those who do not read scripture at all (most egalitarian).
Main and interaction effects
of gender, ETLE, and MAOA genotype on the physical aggression score were calculated
by using three - way
analysis of variance (ANOVA).
In hierarchical regression
analyses with the various ENRICH factor scores as dependent variables and job satisfaction as the independent variable in the first block, the two SSQ factors in the second block, and the WOC factors in the third block, between 24 and 38 %
of the
variance in seven
of the nine ENRICH factors (not significant model for «Family & Friends» and «Marriage & Children») could be explained
by the variation in all the independent variables with varying weight
of the several independent variables (Table 3).
After establishing the different groups
by cluster
analysis,
analyses of variance (ANOVAs) were carried out in order to analyze the statistical significance
of between - group differences in parenting practices.
As an additional check for facilitator effects, we conducted an
analysis of variance to determine whether the mean number
of intervention sessions attended differed significantly
by facilitator.
Unadjusted group differences were tested
by using
analysis of variance with Bonferroni posthoc tests (to adjust for multiple comparisons) for continuous variables and the χ2 test for categorical variables.
Confirmatory Factor
Analyses (CFA) showed that the
variance of the YPI subscales could be explained
by the three latent constructs, the grandiose / manipulative dimension (interpersonal), the callous / unemotional dimension (affective), and the impulsive / irresponsible dimension (behavioral), replicating the findings
of Andershed et al. (2002).