Disease relevance of Factor Analysis, Statistical

• Accumulation of methotrexate and methotrexate polyglutamates in lymphoblasts at diagnosis of childhood acute lymphoblastic leukemia: a pilot prognostic factor analysis [1].
• The remaining items (n = 41) were grouped into scales using factor analysis, and then refined to form the Multiple Sclerosis Impact Scale (MSIS-29), an instrument measuring the physical (20 items) and psychological (nine items) impact of multiple sclerosis [2].
• Efficacy of combined 5-fluorouracil and cisplatinum in advanced gastric carcinomas. A phase II trial with prognostic factor analysis [3].
• The second factor analysis with male data included revealed seven factors that accounted for 95% of the intersubject variance: Pacing, Copulatory Rate, Mount Count, Receptivity, Appetitive Level Changing, Solicitation, and Lordosis Reflex [4].
• CONCLUSIONS: Using confirmatory factor analysis and structural equation modelling, we found that obesity, dyslipidemia and cytokines were the principal explanatory variables for the various components of the metabolic syndrome, with IL6 and TNFalpha having different explanatory variables and effects [5].

Psychiatry related information on Factor Analysis, Statistical

• When all variables were subjected to factor analysis, factor 1 showed a clustering of drug dependence variables and factor 2 of alcohol dependence variables [6].
• Confirmatory factor analysis (CFA) was conducted on 1,355 reliable responders to the self-rated Schizotypal Personality Questionnaire (SPQ), which covers all nine aspects of DSM-III-R schizotypal personality disorder (SPD) [7].
• Psychometric and factor analysis revealed a 47-item composite scale and three internally consistent factors that were uncorrelated with social desirability: Social/Character Disparagement, Physical/Romantic Unattractiveness, and Weight Control/Blame [8].
• Cognitive domains are identified by means of factor analysis of the intelligence tests used at 12, 24, and 36 months (Bayley Scales of Infant Development (including the Mental and Motor scales) at 12 and 24 months; the Stanford-Binet, Peabody Picture Vocabulary Test, and Beery Test of Visual Motor Intergration at 36 months) [9].
• Psychometric analysis included itemetric performance, confirmatory factor analysis, test-retest reliability, and evaluation of subject's responses to the general CF-care questions [10].

High impact information on Factor Analysis, Statistical

• The transcription factor analysis revealed distinct signaling pathways operated by CD40-reactive NAbs compared to those by CD40 ligand [11].
• Univariate factor analysis of 15 potential risk factors for rapid bone loss revealed a positive correlation of bone loss with steroid and cyclosporine A use, baseline BMD, and loss of muscle mass (overwhelming power of steroid use in multifactor analysis) [12].
• All-trans retinoic acid in acute promyelocytic leukemia: long-term outcome and prognostic factor analysis from the North American Intergroup protocol [13].
• A novel application of factor analysis revealed that the newly discovered associations were independent of previously demonstrated sensitivity factors such as p53 mutation status and native population doubling time [14].
• In a prognostic factor analysis, clinical N status, histology, and the percent of cisplatin and vinblastine tolerated were significant predictors for survival [15].

Chemical compound and disease context of Factor Analysis, Statistical

• The factor analysis yielded three factors that accounted for 58.7% of the total variance in the data: Factor 1, "Dyspnea with Laboratory Exercise" comprised ETT SOB end, ETT SOB isotime, ITTSOB end, ITT SOB isotime, ITT SOB/Time and ETT SOB/Time [16].
• A multivariate factor analysis of the high plasma concentration of cyclic AMP in patients with chronic renal failure [17].
• Prognostic factor analysis in advanced gastric cancer patients treated with hydroxyurea, leucovorin, 5-fluorouracil, and cisplatin (HLFP regimen) [18].
• To evaluate the coherence of the dependence syndrome elements for cocaine, factor analysis models are applied to the nine dichotomous DSM-III-R drug-dependence criteria derived from structured clinical interviews with 399 cocaine users [19].
• Results of a factor analysis on the sick role measures revealed four attitudinal (Release, Consideration, Burden, and Deviance) and two behavioral (Denial and Consult) factors [20].

Biological context of Factor Analysis, Statistical

• Measures of airway resistance (FEV1% predicted, FEV1/FVC) and hyperinflation (RV/TLC) loaded on a third factor, "Pulmonary Function." An additional post hoc factor analysis with post-intervention data provided similar results [16].
• Using factor analysis, metabolic syndrome and sub-clinical inflammation scores were derived from baseline measurements, which included an oral glucose tolerance test-derived measure of insulin resistance [21].
• The influence of temperature variations on the rank of a NIR dataset, has been investigated by comparing the results of principal component analysis (PCA) and evolving factor analysis (EFA), applied to two datasets measured at constant temperature and varying temperature [22].
• We have used a factor analysis of the Stiles-Burch [Opt. Acta 6, 1 (1959)] 10 degrees field color matches to examine the basis of individual differences in the color matches made by observers with normal color vision [23].
• This paper describes the CLUSFAVOR algorithm (CLUSter and Factor Analysis Using Varimax Orthogonal Rotation) for performing cluster and factor analysis of gene expression data obtained from cDNA microarrays [24].

Anatomical context of Factor Analysis, Statistical

• We used structural equation modeling, a technique that merges the analytic procedures of factor analysis and multiple regression, to examine the reliability and construct validity of the Middle Cerebral Artery Neurological Scale and the Scandinavian Neurological Stroke Scale used together as the Unified Neurological Stroke Scale [25].
• In anesthetized cats with cervical spinal cord transection, Fano factor analysis was used to test for time-scale invariant (fractal) fluctuations in spike counts of single preganglionic cervical sympathetic neurons (PSNs) and putative sympathetic premotor neurons located in the rostral ventrolateral medulla (RVLM) and caudal medullary raphe [26].
• Presurgical localization of abnormal parathyroid glands using a single injection of technetium-99m methoxyisobutylisonitrile: comparison of different techniques including factor analysis of dynamic structures [27].
• Diagnosis of malignancy in thyroid nodules by factor analysis of spectral and dynamic structures: a simultaneous dual-isotope dynamic study with thallium-201 and iodine-131 [28].
• Jurkat cells were cultured in biotin-deficient (0.025 nmol/L) and biotin-supplemented (10 nmol/L) media for 5 wk prior to transcription factor analysis [29].

Associations of Factor Analysis, Statistical with chemical compounds

• Factor analysis was used to identify components of this syndrome in 1,918 Pima Indians [30].
• Factor analysis provides statistical methods for evaluating patterns of cerebral changes in regional glucose uptake [31].
• In factor analysis of the chronic heart failure group, serum uric acid formed part of a principal cluster of metabolic variables which included MVO2 and VE-VCO2 slope [32].
• CONCLUSION: Distinct components of patient-reported asthma health status can be identified by factor analysis [33].
• Factor analysis returned three underlying factors among these variables, with adiponectin loading on the second factor along with insulin, waist circumference, triglyceride, and HDL [34].

Gene context of Factor Analysis, Statistical

• We then used factor analysis to relate changes in performance in these tasks with cholinergic markers, somatostatin levels, and amyloid burden [35].
• Factor analysis produced two underlying factors, ie the 'inflammation' factor, including CRP, fibrinogen and IL-6, and the 'injury' factor, including troponin T, creatine kinase MB mass and TNF-alpha [36].
• However, as indicated by factor analysis, the prognostic information yielded by mitosin was superior to that provided by the remaining proliferation markers (p = 0.041) [37].
• On factor analysis, procoagulant factors VII and X, proteins C and S, and plasminogen activator inhibitor-1 were components of the cluster of variables that explained the greatest proportion of the variance in the data (39.2%) [38].
• Growth factor analysis was done by analysing for expression of epidermal growth factor (EGF), epidermal growth factor receptor (EGF-R) and transforming growth factors alpha and beta (TGFalpha, TGFbeta) [39].

Analytical, diagnostic and therapeutic context of Factor Analysis, Statistical

• Raman spectroscopy monitored serial addition of 8 M urea to HEC sieving solutions combined with factor analysis indicated formation of minor urea species [40].
• (1993), a confirmatory factor analysis (CFA; LISREL VII) of a 4-factor model of pain assessment was tested [41].
• Latent class and factor analysis of DSM-IV ADHD: a twin study of female adolescents [42].
• Data were from a cross-sectional sample of 55- to 85-year-old healthy adults (N=427) from the Victoria Longitudinal Study. Confirmatory factor analysis (LISREL 8.52) tested both a 2-factor model of Inhibition (Hayling, Stroop) and Shifting (Brixton, Color Trails) and a single-factor model [43].
• A confirmatory factor analysis of the Center for Epidemiologic Studies Depression Scale in rheumatoid arthritis patients: additional evidence for a four-factor model [44].

References