Robust alternatives to traditional analysis of variance: Welch W∗, James JI∗, James JII∗, Brown-Forsythe BF∗

Reed, James F.; Stark, David B.

doi:10.1016/0169-2607(88)90003-x

Cited by 20 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Patients were stratified into different treatment-induced response groups, and distribution of HLC values at baseline according to response category was assessed by the Welch test. 19 Kaplan–Meier survival curves were compared using the log-rank test, 20 whereas univariate and multivariate analysis were performed by Cox proportional regression analysis 21 (SPSS version 18, IBM, Armonk, NY, USA).…”

Section: Methodsmentioning

confidence: 99%

Immunoglobulin heavy/light chain ratios improve paraprotein detection and monitoring, identify residual disease and correlate with survival in multiple myeloma patients

et al. 2012

View full text Add to dashboard Cite

The novel heavy/light chain (HLC) assay was used for the detection and measurement of monoclonal immunoglobulins, response evaluation and prognostication. This test allows identification and quantification of the different light chain types of each immunoglobulin class (for example, IgGκ and IgGλ) and enables calculation of ratios of monoclonal/polyclonal immunoglobulin (HLC ratio). Sequential sera of 156 patients with IgG or IgA myeloma started on first-line therapy and followed for a median of 46.1 months were analyzed. Results were compared with those obtained with conventional techniques (serum protein electrophoresis (SPEP), immunofixation electrophoresis (IFE), nephelometry (NEPH), and the free light chain test (FLC)). Our data show that the HLC assay allowed quantification of monoclonal proteins not accurately measurable by SPEP or NEPH. When both HLC and FLC testing were applied for response assessment, clonal excess was noted in 14/31 patients with complete response (CR). HLC ratio indicated presence of disease in 8/31 patients who achieved CR and, in sequential studies indicated evolving relapse in three patients before IFE became positive. Highly abnormal HLC ratios at presentation were significantly associated with shorter overall survival (40.5 months vs median not reached, P=0.016). Multivariate analysis revealed HLC ratio (P=0.03) and β2-microglobulin (P<0.01) as independent risk factors for survival.

show abstract

Section: Methodsmentioning

confidence: 99%

Immunoglobulin heavy/light chain ratios improve paraprotein detection and monitoring, identify residual disease and correlate with survival in multiple myeloma patients

et al. 2012

View full text Add to dashboard Cite

show abstract

“…All statistical analyses were performed using R. The differentially methylated promoters were defined as follows: absolute methylation changes ≥5% and P < 0.05 (Welch-ANOVA [24] with Benjamini-Hochberg (BH) correction [25]). The Games-Howell test was used to identify sample pairs with significant methylation differences ( P < 0.05).…”

Section: Methodsmentioning

confidence: 99%

Genome-Scale Assessment of Age-Related DNA Methylation Changes in Mouse Spermatozoa

et al. 2016

View full text Add to dashboard Cite

DNA methylation plays important roles in the production and functioning of spermatozoa. Recent studies have suggested that DNA methylation patterns in spermatozoa can change with age, but the regions susceptible to age-related methylation changes remain to be fully elucidated. In this study, we conducted genome-scale DNA methylation profiling of spermatozoa obtained from C57BL/6N mice at 8 weeks (8w), 18 weeks (18w) and 17 months of age (17m). There was no substantial difference in the global DNA methylation patterns between 18w and 17m samples except for a slight increase of methylation levels in long interspersed nuclear elements in the 17m samples. We found that maternally methylated imprinting control regions (mICRs) and spermatogenesis-related gene promoters had 5–10% higher methylation levels in 8w samples than in 18w or 17m samples. Analysis of individual sequence reads suggested that these regions were fully methylated (80–100%) in a subset of 8w spermatozoa. These regions are also known to be highly methylated in a subset of postnatal spermatogonia, which might be the source of the increased DNA methylation in 8w spermatozoa. Another possible source was contamination by somatic cells. Although we carefully purified the spermatozoa, it was difficult to completely exclude the possibility of somatic cell contamination. Further studies are needed to clarify the source of the small increase in DNA methylation in the 8w samples. Overall, our findings suggest that DNA methylation patterns in mouse spermatozoa are relatively stable throughout reproductive life.

show abstract

“…After the classification analysis, descriptive statistics of the HRV features were implemented in order to make observable the changes of the HRV features according to the presented stimuli ( Table 1 ). The Kruskal-Wallis statistic-test was used to determine if there were significant differences between the features [ 57 ]; a p-value less or equal to 0.05 was considered to be statistically significant ( Table 5 ).…”

Section: Resultsmentioning

confidence: 99%

Judgement of valence of musical sounds by hand and by heart, a machine learning paradigm for reading the heart

Idrobo-Ávila

Correa

Muñoz-Bolaños

et al. 2021

Heliyon

View full text Add to dashboard Cite

The intention of the experiment is to investigate whether different sounds have influence on heart signal features in the situation the observer is judging the different sounds as positive or negative. As the heart is under (para)sympathetic control of the nervous system this experiment could give information about the processing of sound stimuli beyond the conscious processing of the subject. As the nature of the influence on the heart signal is not known these signals are to be analysed with AI/machine learning techniques. Heart rate variability (HRV) is a variable derived from the R-R interval peaks of electrocardiogram which exposes the interplay between the sympathetic and parasympathetic nervous system. In addition to its uses as a diagnostic tool and an active part in the clinic and research domain, the HRV has been used to study the effects of sound and music on the heart response; among others, it was observed that heart rate is higher in response to exciting music compared with tranquilizing music while heart rate variability and its low-frequency and high-frequency power are reduced. Nevertheless, it is still unclear which musical element is related to the observed changes. Thus, this study assesses the effects of harmonic intervals and noise stimuli on the heart response by using machine learning. The results show that noises and harmonic intervals change heart activity in a distinct way; e.g., the ratio between the axis of the ellipse fitted in the Poincaré plot increased between harmonic intervals and noise exposition. Moreover, the frequency content of the stimuli produces different heart responses, both with noise and harmonic intervals. In the case of harmonic intervals, it is also interesting to note how the effect of consonance quality could be found in the heart response.

show abstract

Robust alternatives to traditional analysis of variance: Welch W∗, James JI∗, James JII∗, Brown-Forsythe BF∗

Cited by 20 publications

References 7 publications

Immunoglobulin heavy/light chain ratios improve paraprotein detection and monitoring, identify residual disease and correlate with survival in multiple myeloma patients

Immunoglobulin heavy/light chain ratios improve paraprotein detection and monitoring, identify residual disease and correlate with survival in multiple myeloma patients

Genome-Scale Assessment of Age-Related DNA Methylation Changes in Mouse Spermatozoa

Judgement of valence of musical sounds by hand and by heart, a machine learning paradigm for reading the heart

Contact Info

Product

Resources

About