One-way Analysis Of Variance Model Research Articles

Assessment of the tissue factor pathway inhibitor (TFPI-rs7586970 variant) polymorphism as a risk factor in myocardial infarction patients

Context The tissue factor pathway inhibitor (TFPI), a Kunitz-type serine protease inhibitor, inhibits the extrinsic pathway of pathways, and might significantly contribute to the pathogenesis of coronary artery diseases. Aim To assess the TFPI-rs7586970 genetic variant as a risk factor in patients with myocardial infarction (MI). Settings and design A descriptive case–control study in the Premises of the Department of Clinical Pathology and Cardiology in Suez Canal University Hospitals included 156 individuals; 78 MI patients and 78 individuals as a control group. Methods and material An interview questionnaire, clinical and laboratory assessment, and molecular genotyping of the TFPI-rs7586970 genetic variant were done using real-time PCR Eva-Green-based high-resolution melting curve (HRM) analysis. Informed consent was taken from all the participants and the study protocol was approved by the Ethics Committee, Faculty of Medicine, Suez Canal University. Statistical analysis used For statistical analysis, t-test, Mann-Whitney U test, chi-squared-test (χ2), one-way ANOVA (analysis of variance), Kruskal-Wallis test, and binary logistic regression model were used. Results The MI group recorded 26 allele copies of the TFPI-rs7586970 genetic variant whereas the control group recorded six copies. The binary logistic regression model for MI occurrence showed that the TFPI-rs7586970 genetic variant polymorphism is a significant predictor for the development of MI. Conclusions TFPI-rs7586970 genetic variant polymorphism is a significant risk factor for the development of MI.

Review of sample size determination methods for the intraclass correlation coefficient in the one-way analysis of variance model.

Reliability of measurement instruments providing quantitative outcomes is usually assessed by an intraclass correlation coefficient. When participants are repeatedly measured by a single rater or device, or, are each rated by a different group of raters, the intraclass correlation coefficient is based on a one-way analysis of variance model. When planning a reliability study, it is essential to determine the number of participants and measurements per participant (i.e. number of raters or number of repeated measurements). Three different sample size determination approaches under the one-way analysis of variance model were identified in the literature, all based on a confidence interval for the intraclass correlation coefficient. Although eight different confidence interval methods can be identified, Wald confidence interval with Fisher's large sample variance approximation remains most commonly used despite its well-known poor statistical properties. Therefore, a first objective of this work is comparing the statistical properties of all identified confidence interval methods-including those overlooked in previous studies. A second objective is developing a general procedure to determine the sample size using all approaches since a closed-form formula is not always available. This procedure is implemented in an R Shiny app. Finally, we provide advice for choosing an appropriate sample size determination method when planning a reliability study.

Multiple comparisons of treatment against control under unequal variances using parametric bootstrap

ABSTRACT In one-way analysis of variance models, performing simultaneous multiple comparisons of treatment groups with a control group may be of interest. Dunnett's test is used to test such differences and assumes equal variances of the response variable for each group. This assumption is not always met even after transformation. A parametric bootstrap (PB) method is developed here for comparing multiple treatment group means against the control group with unequal variances and unbalanced data. In simulation studies, the proposed method outperformed Dunnett's test in controlling the type I error under various settings, particularly when data have heteroscedastic variance and unbalanced design. Simulations show that power is often lower for the PB method than for Dunnett's test under equal variance, balanced data, or smaller sample size, but similar to or higher than for Dunnett's test with unequal variance, unbalanced data and larger sample size. The method is applied to a dataset concerning isotope levels found in elephant tusks from various geographical areas. These data have very unbalanced group sizes and unequal variances. This example illustrates that the PB method is easy to implement and avoids the need for transforming data to meet the equal variance assumption, simplifying interpretation of results.

Dietary pro-oxidant score (POS) and cardio-metabolic panel among obese individuals: a cross-sectional study

BackgroundOxidative stress is a disturbance in the natural balance between oxidative and anti-oxidative processes, which is the major effective factor in cardiovascular disorders and metabolic syndrome (MetS), due to the role of pro-oxidants in inducing oxidative stress, and as a result, the occurrence and exacerbation of components of metabolic syndrome and cardiovascular risk factors, this cross-sectional study was conducted with the aim of investigating the relationship between the status of dietary pro-oxidants score (POS) and metabolic parameters including serum lipids, glycemic markers and blood pressure among obese adults.Methods338 individuals with obesity (BMI ≥ 30 kg/m 2), aged between 20 and 50 years were recruited in the present cross-sectional study. A validated food frequency questionnaire (FFQ) was used to determine the dietary pro-oxidant score (POS). Analysis of variance (ANOVA) with Tukey’s post-hoc comparisons after adjustment for confounders and multivariable logistic regression analysis were performed to determine the association of cardiometabolic risk factors among the tertiles of POS.ResultsParticipants with higher POS had lower levels of body mass index (BMI), weight and waist circumference (WC). There were no significant associations between metabolic parameters including glycemic markers and lipid profile in one-way ANOVA and multivariate multinomial logistic regression models.ConclusionsThe findings of this study revealed that greater dietary pro-oxidant intake might be associated with lower BMI, body weight, and WC in Iranian obese individuals. Further studies with interventional or longitudinal approaches will help to better elucidate the causality of the observed associations.

Association of periodontitis with menopause and hormone replacement therapy: a hospital cohort study using a common data model.

The present study was designed to compare the incidence of periodontitis according to menopausal status and to investigate the possible effect of hormone replacement therapy (HRT) on periodontitis in postmenopausal women using a common data model (CDM) at a single institution. This study involved retrospective cohort data of 950,751 patients from a 20-year database (2001 to 2020) of Ewha Womans University Mokdong Hospital converted to the Observational Medical Outcomes Partnership CDM. One-way analysis of variance models and the χ² test were used to analyze the statistical differences in patient characteristics among groups. A time-dependent Cox regression analysis was used to calculate hazard ratios and 95% confidence intervals, and P values less than 0.05 were considered to indicate statistical significance. Of the 29,729 patients, 1,307 patients were diagnosed with periodontitis and 28,422 patients were not. Periodontitis was significantly more common among postmenopausal patients regardless of HRT status than among the non-menopausal group (P<0.05). Time-dependent Cox regression analysis showed that the postmenopausal patients had a significantly higher chance of having periodontitis than non-menopausal patients (P<0.05), but after adjustment for age, body mass index, and smoking status, the difference between the non-menopausal and post-menopausal HRT-treated groups was insignificant (P=0.140). Postmenopausal women had a significantly greater risk of periodontitis than non-menopausal women. Additionally, the use of HRT in postmenopausal women could reduce the incidence of periodontitis.

CT measurement of prostate volume using OsiriX® viewer is reliable, repeatable, and not dependent on observer, CT protocol, or contrast enhancement in dogs.

Computed tomography (CT) is an established method for evaluating dogs with suspected prostatic disease; however, publications assessing the effects of varying factors on prostate volume measurements are lacking. The objectives of this two-part, observer agreement, methods comparison study were to assess observer agreement and the effects of varying CT technical parameters for volume measurements of canine prostate glands on CT images using OsiriX® DICOM viewer software. In the first retrospective study, two observers measured prostate volumes of 13 client-owned dogs thrice on noncontrast and contrast CT images. In the second prospective study, two observers measured the prostate volume of 10 cadavers using five different CT protocols and eight cadavers using three slice thicknesses. Observer agreement analyses were performed, and prostatic CT volume measurements were compared with water displacement volume measurements. Intra- and interobserver variability and the effect of contrast enhancement were found to be minimal when a one-way analysis of variance model and intraclass correlation coefficients were used. No significant differences emerged between different protocols and slice thicknesses using a linear mixed effects model. When the prostate CT volume was compared using a Bland-Altman plot with the reference volume acquired by the water displacement method, agreement without consistent bias between the methods was shown, and over 90% of measurements were located within the 95% limits of agreement. The findings supported using OsiriX® software for CT prostatic volume measurements in dogs.

Narcissism and Social Media Addiction: Gender, Social Demographics, and Social Media Use

This study aims to describe differences in narcissism and social media addiction based on gender, social demographics, and use of social media. This research is a comparative student, the sample for this study amounted to 123 students in Vocational High School (SMK) in DKI Jakarta. There are two instruments used in this study, namely, the narcissistic instrument (22 items) and the social media addiction instrument (17 items). Data were analyzed using descriptive analysis and Multivariate One-Way Analysis of Variance Model (MANOVA). The findings for this study indicate that there are significant differences in narcissistic and social media addiction variables based on gender, number of social media accounts, and gender-daily internet access. In addition, there is a significant difference in social media addiction based on domicile. Gender and the order of children in the family are also significantly different on the variables of social media addiction. Based on the results of this study, it is hoped that further researchers will link other variables (for example: self-esteem, loneliness, subjective well-being, stress, etc.) to prevent narcissistic behavior and social media addiction in education.

Effect of blending ratio of wheat, orange fleshed sweet potato and haricot bean flour on proximate compositions, β-carotene, physicochemical properties and sensory acceptability of biscuits’

Background:Protein-energy malnutrition and vitamin A deficiency (VAD) are the most important public health issues, and a food-based strategy is crucial to combat those health problems among the vulnerable group of people. Methods:Composite biscuits were made with 100:0:0, 90:5:5, 80:10:10, 70:15:15, 60:20:20, and 50:25:25 percent wheat, haricot bean, and orange-fleshed sweet potato (OFSP) flours.Standard methods were used to evaluate the proximate compositions, β-carotene, physical properties, functional properties, and sensory acceptability. A one-way analysis of variance model was used to statistically evaluate the data using the statistical analysis system software package, version 9.0 standard methods. Results:The results showed that partially replacing wheat with haricot beans and OFSP increased the β-carotene and proximate compositions significantly. When wheat was replaced with haricot beans and OFSP, the physical characteristics of the biscuits did not vary significantly from those of biscuits made entirely of wheat flour. Sensory acceptability (appearance, color, flavor, taste and overall acceptability) was higher in the composite biscuits with up to 40% wheat substitution than in the 100% wheat flour biscuits. Conclusion:Based on the findings of this report, replacing wheat with OFSP and haricot beans in biscuit formulation appears to be promising in improving nutritional quality, sensory acceptability, and beta carotene. It is proposed that these products can mitigate food insecurity and deficiency of vitamin A.

Effect of blending ratio of wheat, orange fleshed sweet potato and haricot bean flour on proximate compositions, β-carotene, physicochemical properties and sensory acceptability of biscuits’

Background: Protein-energy malnutrition and vitamin A deficiency (VAD) are the most important public health issues, and a food-based strategy is crucial to combat those health problems among the vulnerable group of people. Methods: Composite biscuits were made with 100:0:0, 90:5:5, 80:10:10, 70:15:15, 60:20:20, and 50:25:25 percent wheat, haricot bean, and orange-fleshed sweet potato (OFSP) flours.Standard methods were used to evaluate the proximate compositions, β-carotene, physical properties, functional properties, and sensory acceptability. A one-way analysis of variance model was used to statistically evaluate the data using the statistical analysis system software package, version 9.0 standard methods. Results: The results showed that partially replacing wheat with haricot beans and OFSP increased the β-carotene and proximate compositions significantly. When wheat was replaced with haricot beans and OFSP, the physical characteristics of the biscuits did not vary significantly from those of biscuits made entirely of wheat flour. Sensory acceptability (appearance, color, flavor, taste and overall acceptability) was higher in the composite biscuits with up to 40% wheat substitution than in the 100% wheat flour biscuits. Conclusion: Based on the findings of this report, replacing wheat with OFSP and haricot beans in biscuit formulation appears to be promising in improving nutritional quality, sensory acceptability, and beta carotene. It is proposed that these products can mitigate food insecurity and deficiency of vitamin A.

A compressed variance component mixed model for detecting QTNs and QTN-by-environment and QTN-by-QTN interactions in genome-wide association studies

Although genome-wide association studies are widely used to mine genes for quantitative traits, the effects to be estimated are confounded, and the methodologies for detecting interactions are imperfect. To address these issues, the mixed model proposed here first estimates the genotypic effects for AA, Aa, and aa, and the genotypic polygenic background replaces additive and dominance polygenic backgrounds. Then, the estimated genotypic effects are partitioned into additive and dominance effects using a one-way analysis of variance model. This strategy was further expanded to cover QTN-by-environment interactions (QEIs) and QTN-by-QTN interactions (QQIs) using the same mixed-model framework. Thus, a three-variance-component mixed model was integrated with our multi-locus random-SNP-effect mixed linear model (mrMLM) method to establish a new methodological framework, 3VmrMLM, that detects all types of loci and estimates their effects. In Monte Carlo studies, 3VmrMLM correctly detected all types of loci and almost unbiasedly estimated their effects, with high powers and accuracies and a low false positive rate. In re-analyses of 10 traits in 1439 rice hybrids, detection of 269 known genes, 45 known gene-by-environment interactions, and 20 known gene-by-gene interactions strongly validated 3VmrMLM. Further analyses of known genes showed more small (67.49%), minor-allele-frequency (35.52%), and pleiotropic (30.54%) genes, with higher repeatability across datasets (54.36%) and more dominance loci. In addition, a heteroscedasticity mixed model in multiple environments and dimension reduction methods in quite a number of environments were developed to detect QEIs, and variable selection under a polygenic background was proposed for QQI detection. This study provides a new approach for revealing the genetic architecture of quantitative traits.

Does biologic survival depend on co-prescribed methotrexate dose in established rheumatoid arthritis? A real-world study.

Several seminal studies have suggested that a combination therapy of biologics with conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) improve disease outcomes in rheumatoid arthritis (RA). Hence, most guidelines reflect this practice. It has also been shown that methotrexate (MTX) at a dose of 8-10 mg/week is perhaps sufficient to achieve better outcomes in early RA. However, it is not clear whether this strategy enhances biologic retention in the patients with established RA. We present a real-world retrospective study to investigate whether csDMARD co-prescription improves biologic retention and the optimal dose to preserve such response. All patients prescribed biologic therapy for RA at our center between 2003 and 2017 were identified through the departmental database. They were split into five groups based on a weekly MTX dose (≤7.5 mg, 10-17.5 mg, ≥20 mg), other csDMARD prescription, or biologic monotherapy. The one-way analysis of variance model for independent values was utilized to ascertain the significance of data. The Mann-Whitney two-tailed U test was employed to determine the significance of relationship between the monotherapy group and other arms. The significance level was predefined at 0.05. A total of 168 patients with 198 biologic events were included. The mean age was 59.4 years (range, 24-90 years). 78% were women. The mean disease duration was 155.6 months (range, 15-491). There was a statistically significant difference (p=0.03) in biologic retention among the five arms. Compared to monotherapy, the data remained significant for ≥20 mg MTX and csDMARD groups; however, the biologic retention in the other two MTX arms was not significant. There was no significant relationship among groups for DAS28 improvement (p=0.24). Our results suggest that to improve biologic retention, the MTX dose should be increased to 20 mg a week or more, and, in people with MTX intolerance, csDMARDs co-presciption can be an alternative strategy. Maintenance with a low-to-moderate MTX dose can lead to poorer retention rates.

The Effects of Rest Problems on Workforce Fatigue and Productivity

This study examines the impact of rest problems on workforce fatigue and productivity. The participants of the study include 4188 employees working at four Malaysian corporations. First, they were surveyed about rest time patterns and then, they completed the Work Limitations Questionnaire. Next, the respondents were classified into four groups: insomnia (Level-1), insufficient rest (Level-2), at-risk (Level-3), and good rest (Level-4). The costs related to productivity were estimated through the Work Limitations Questionnaire. Performance, productivity, safety, and treatment measures were compared using the one-way analysis of variance model. The findings showed that level-1 and level-2 groups caused higher negative effects than level-3 and level-4 groups, on productivity, performance, and safety. The level-1 group had the highest rate of rest medication use. The other groups were more likely to use no medication treatments. Fatigue-related productivity losses were estimated to cost $1967/workforce annually. However, rest problems contribute to decreasing workforce productivity leading to a high cost to companies.

Using Excel to Explore the Effects of Assumption Violations on One-Way Analysis of Variance (ANOVA) Statistical Procedures

To understand any statistical tool requires not only an understanding of the relevant computational procedures but also an awareness of the assumptions upon which the procedures are based, and the effects of violations of these assumptions. In our earlier articles (Laverty, Miket, & Kelly [1]) and (Laverty & Kelly, [2] [3]) we used Microsoft Excel to simulate both a Hidden Markov model and heteroskedastic models showing different realizations of these models and the performance of the techniques for identifying the underlying hidden states using simulated data. The advantage of using Excel is that the simulations are regenerated when the spreadsheet is recalculated allowing the user to observe the performance of the statistical technique under different realizations of the data. In this article we will show how to use Excel to generate data from a one-way ANOVA (Analysis of Variance) model and how the statistical methods behave both when the fundamental assumptions of the model hold and when these assumptions are violated. The purpose of this article is to provide tools for individuals to gain an intuitive understanding of these violations using this readily available program.

Characterising the flows of Slovenian tourists within the former Yugoslavia with respect to post-communist ‘nostalgic context’

Abstract Slovenia represents a key source in the tourist market for the new post-Yugoslavian states, but little is known about Slovenians’ tourism practices, especially in relation to the post-communist dimension. The term “Yugonostalgia” came into existence in the 1990s in the post-Yugoslav area, and it illustrates the attitudes of people looking for a life that would be better than their present one. The term is also connected to tourism, although it has been largely neglected in the tourism literature. In this study, a total of 384 appropriately completed questionnaires were recorded and prepared for empirical analyses. Some 83.0% of respondents repeatedly return to a former Yugoslav destination they had visited in the past. Hierarchical and non-hierarchical clustering methods were used to identify clusters. Subsequently, cross-tabulations were employed to profile each cluster based on demographic characteristics, and chi-square tests were performed to validate the clusters and their mutual differences. Significant differences between groups with respect to survey variables were verified by one-way analysis of variance models. Three significantly different clusters were identified: (i) friends of nature; (ii) immigrants and their descendants (from the post-Yugoslav states); and (iii) moderate lovers of nature and culture. None of identified clusters are characterised by Yugonostalgia: group members behave in similar ways to all contemporary tourists with varying individual interests, which is an additional interesting finding.

The temporal relationship between activity of the pelvic floor muscles and motion of selected urogenital landmarks in healthy nulliparous women

AimsThe purpose of this study was to investigate the relationship between pelvic floor muscle (PFM) electromyographic (EMG) activation and urogenital landmark motion measured using 2D transperineal ultrasound (US) imaging. MethodsEight healthy, nulliparous women performed maximum voluntary PFM contractions while EMG and transperineal US images were acquired simultaneously. Changes in the levator plate length (LPL), bladder neck (BN) position and urethral position were determined by visual inspection. The relative timing of EMG onset and the onset of landmark motion, and the correlation coefficients between EMG activation and landmark motion were computed. Comparisons between the correlation coefficients and onset latencies of each landmark motion were made using one-way analysis of variance models. ResultsDespite generally good reliability metrics for the onset of EMG and the onset of landmark motion, the relative timing of EMG onset and the onset of landmark motion demonstrated no systematic patterns of activation onset. That said, the overall motion of the different urogenital landmarks throughout the MVC task was highly correlated with the PFM EMG data; correlation coefficients were generally good (>0.90) and highly significant (p < .001). The correlation between PFM EMG and LPL motion was significantly better than the correlation between PFM EMG and motion of the other landmarks. The relevance of one outlier is discussed. ConclusionsThe motion of all urogenital landmarks seen on US imaging is highly correlated with PFM EMG activation during maximum voluntary PFM contractions and may therefore be of value in the context of biofeedback training to infer that PFM activation has occurred. The motion of the BN, however, may require more cautious interpretation than the reduction of LPL. The timing of the onset of urogenital landmark motion on transperineal US imaging does not precede nor follow the timing of PFM activation, while the high variance of relative onset timing makes the onset of landmark motion of questionable value when training or evaluating co-ordination or motor control.

Determining Sample Sizes for Precise Contrast Analysis With Heterogeneous Variances

The analysis of variance (ANOVA) is one of the most frequently used statistical analyses in practical applications. Accordingly, the single and multiple comparison procedures are frequently applied to assess the differences among mean effects. However, the underlying assumption of homogeneous variances may not always be tenable. This study examines the sample size procedures for precise interval estimation of linear contrasts within the context of one-way heteroscedastic ANOVA models. The desired precision of both individual and simultaneous confidence intervals is evaluated with respect to the control of expected half width and to the tolerance probability of interval half width within a designated value. Supplementary computer programs are developed to aid the usefulness and implementation of the proposed techniques. The suggested sample size procedures improve upon the existing approaches and extend the methodology development in the statistical literature.

An Akaike-type information criterion for model selection under inequality constraints

Abstract The Akaike information criterion for model selection presupposes that the parameter space is not subject to order restrictions or inequality constraints. Anraku (1999) proposed a modified version of this criterion, called the order-restricted information criterion, for model selection in the one-way analysis of variance model when the population means are monotonic. We propose a generalization of this to the case when the population means may be restricted by a mixture of linear equality and inequality constraints. If the model has no inequality constraints, then the generalized order-restricted information criterion coincides with the Akaike information criterion. Thus, the former extends the applicability of the latter to model selection in multi-way analysis of variance models when some models may have inequality constraints while others may not. Simulation shows that the information criterion proposed in this paper performs well in selecting the correct model.

On Sample Size of the Kruskal-Wallis Test with Application to a Mouse Peritoneal Cavity Study

As the nonparametric generalization of the one-way analysis of variance model, the Kruskal-Wallis test applies when the goal is to test the difference between multiple samples and the underlying population distributions are nonnormal or unknown. Although the Kruskal-Wallis test has been widely used for data analysis, power and sample size methods for this test have been investigated to a much lesser extent. This article proposes new power and sample size calculation methods for the Kruskal-Wallis test based on the pilot study in either a completely nonparametric model or a semiparametric location model. No assumption is made on the shape of the underlying population distributions. Simulation results show that, in terms of sample size calculation for the Kruskal-Wallis test, the proposed methods are more reliable and preferable to some more traditional methods. A mouse peritoneal cavity study is used to demonstrate the application of the methods.

Anatomical and Biomechanical Assessments of Medial Tibial Stress Syndrome

Medial tibial stress syndrome is a common overuse injury in weightbearing, physically active individuals and in athletes. Most research associated with this condition is primarily based on static foot and lower-extremity measurements. A cross-sectional design was used to assess a set of static and dynamic measurements to determine which anatomical factors (limb length, ankle dorsiflexion, first metatarsophalangeal joint extension, and arch height) and biomechanical factors (center-of-pressure excursion index, malleolar valgus index, and gait velocity) are associated with medial tibial stress syndrome. One-way analysis of variance models revealed that participants with medial tibial stress syndrome had significantly greater visual analog pain levels and slower gait velocity than noninjured controls (P = .05). No other significant differences were found between the two groups. Further investigation of these and other factors can help health professionals develop better strategies for the prevention and clinical intervention of medial tibial stress syndrome.

Effects of Mandibular Advancement plus Prohibition of Lower Incisor Movement on Mandibular Growth in Rats

To test the hypothesis that mandibular advancement with the use of a fixed functional appliance combined with prohibition of labial movement of the lower incisors will have no effect on mandibular growth in growing rats. Fifteen 4-week-old male rats were divided into fixed, unfixed, and control groups (n = 5, each). Bite-jumping appliances were used in the fixed and unfixed groups. Sites of bone perforation and the lower incisors were connected with ligature wires in the fixed group. The ramus height, mandibular length, and inclination of lower incisors were examined for 4 weeks, and those values were compared among five intervals and three groups by through one-way analysis of variance models and the Bonferroni multiple comparison test for post hoc comparison. Increases in ramus height and mandibular length during the experimental period were 1.5 mm and 2.5 mm in the fixed group, 1 mm and 1.5 mm in the unfixed group, and 1.2 mm and 1.9 mm in the control group, respectively. Growth of ramus height and growth of mandibular length in the fixed group were greater than in the unfixed and control groups during the experimental period. The inclination of lower incisors in the unfixed group was increased 8.0 degrees throughout the experimental period, which differed from results obtained in the other groups. Mandibular growth was accelerated effectively before and during the pubertal period in rats by mandibular advancement with a fixed functional appliance combined with prohibition of labial movement of the lower incisor.