A nonparametric method of comparing the partial areas under two correlated receiver operating characteristic curves

A non-parametric method was developed and tested to compare the partial areas under two correlated Receiver Operating Characteristic curves. Based on the theory of generalized U-statistics the mathematical formulas have been derived for computing ROC area, and the variance and covariance between the portions of two ROC curves. A practical SAS application also has been developed to facilitate the calculations. The accuracy of the non-parametric method was evaluated by comparing it to other methods. By applying our method to the data from a published ROC analysis of CT image, our results are very close to theirs. A hypothetical example was used to demonstrate the effects of two crossed ROC curves. The two ROC areas are the same. However each portion of the area between two ROC curves were found to be significantly different by the partial ROC curve analysis. For computation of ROC curves with large scales, such as a logistic regression model, we applied our method to the breast cancer study with Medicare claims data. It yielded the same ROC area computation as the SAS Logistic procedure. Our method also provides an alternative to the global summary of ROC area comparison by directly comparing the true-positive rates for two regression models and by determining the range of false-positive values where the models differ. ^

Evaluation of the causal pathways through which subjective norms influence mammography intention and stage of change in a national sample of women veterans

Few studies have investigated causal pathways linking psychosocial factors to each other and to screening mammography. Conflicting hypotheses exist in the theoretic literature regarding the role and importance of subjective norms, a person's perceived social pressure to perform the behavior and his/her motivation to comply. The Theory of Reasoned Action (TRA) hypothesizes that subjective norms directly affect intention; while the Transtheoretical Model (TTM) hypothesizes that attitudes mediate the influence of subjective norms on stage of change. No one has examined which hypothesis best predicts the effect of subjective norms on mammography intention and stage of change. Two statistical methods are available for testing mediation, sequential regression analysis (SRA) and latent variable structural equation modeling (LVSEM); however, software to apply LVSEM to dichotomous variables like intention has only recently become available. No one has compared the methods to determine whether or not they yield similar results for dichotomous variables. ^ Study objectives were to: (1) determine whether the effect of subjective norms on mammography intention and stage of change are mediated by pros and cons; and (2) compare mediation results from the SRA and LVSEM approaches when the outcome is dichotomous. We conducted a secondary analysis of data from a national sample of women veterans enrolled in Project H.O.M.E. (H&barbelow;ealthy O&barbelow;utlook on the M&barbelow;ammography E&barbelow;xperience), a behavioral intervention trial. ^ Results showed that the TTM model described the causal pathways better than the TRA one; however, we found support for only one of the TTM causal mechanisms. Cons was the sole mediator. The mediated effect of subjective norms on intention and stage of change by cons was very small. These findings suggest that interventionists focus their efforts on reducing negative attitudes toward mammography when resources are limited. ^ Both the SRA and LVSEM methods provided evidence for complete mediation, and the direction, magnitude, and standard errors of the parameter estimates were very similar. Because SRA parameter estimates were not biased toward the null, we can probably assume negligible measurement error in the independent and mediator variables. Simulation studies are needed to further our understanding of how these two methods perform under different data conditions. ^

AN INVESTIGATION OF THE EFFECT OF FORMALDEHYDE SPECIES ON ENVIRONMENTAL MEASUREMENT METHODS UNDER AMBIENT CONDITIONS

Species variations in formaldehyde solutions and gases were investigated by means of infrared spectral analysis. Double beam infrared spectrometry in conjunction with sodium chloride wafer technique and solvent compensation technique were employed. Formaldehyde species in various solutions were investigated. Formalin 37% was stable for many months. Refrigeration had no effects on its stability. Spectral changes were detected in 1000 ppm formaldehyde solutions. The absorbances of very diluted solutions up to 100 ppm were lower than the detection limit of the instruments. Solvent compensation improved resolution, but was associated with an observed lack of repeatability. Formaldehyde species in animal chambers containing animals and in mobile home air were analyzed with the infrared spectrophotometer equipped with a 10 cm gas cell. Spectra were not different from the spectrum of clean air. A portable single beam infrared spectrometer with a 20 meter pathlength was used for reinvestigation. Indoor formaldehyde could not be detected in the spectral; conversely, an absorption peak at 3.58 microns was found in the spectra of 3 and 15 ppm formaldehyde gas in animal chambers. This peak did not appear in the spectrum of the control chamber. Because of concerns over measurement bias among various analytical methods for formaldehyde, side-by-side comparisons were conducted in both laboratory and field measurements. The chromotropic acid method with water and 1% sodium bisulfite as collection media, the pararosaniline method, and a single beam infrared spectrometer were compared. Measurement bias was elucidated and the extent of the effects of temperature and humidity was also determined. The problems associated with related methods were discussed. ^

Altered tumorigenic phenotype in mice with a hypomorphic p53 mutant allele

Mutations in the p53 tumor suppressor gene are found in over 50% of human tumors and in the germline of Li-Fraumeni syndrome families. About 80% of these mutations are missense in nature. In order to study how p53 missense mutations affect tumorigenesis in vivo, we focused on the murine p53 arg-to-his mutation at amino acid 172, which corresponds to the human hot spot mutation at amino acid 175. The double replacement procedure was employed to introduce the p53 R172H mutation into the p53 locus of ES cells and mice were generated. An additional 1bp deletion in the intron 2 splice acceptor site was detected in the same allele in mice. We named this allele p53R172HΔg. This allele makes a small amount of full length p53 mutant protein. ^ Spontaneous tumor formation and survival were studied in these mice. Mice heterozygous for the p53R172HΔg allele showed 50% survival at 17 months of age, similar to the p53+/− mice. Moreover, the p53R172HΔg/+ mice showed a distinct tumor spectrum: 55% sarcomas, including osteosarcoms, fibrosarcomas and angiosarcomas; 27% carcinomas, including lung adenocarcinomas, squamous cell carcinomas, hepatocellular carcinomas and islet cell carcinomas; and 18% lymphomas. Compared to the p53+/− mice, there was a clear increase in the frequency of carcinoma development and a decrease in lymphoma incidence. Among the sarcomas that developed, fibrosarcomas in the skin were also more frequently observed. More importantly, osteosarcomas and carinomas that developed in the p53R172HΔg/+ mice metastasized at very high frequency (64% and 67%, respectively) compared with less than 10% in the p53+/− mice. The metastatic lesions were usually found in lung and liver, and less frequently in other tissues. The altered tumor spectrum in the mice and increased metastatic potential of the tumors suggested that the p53R172H mutation represents a gain-of-function. ^ Mouse embryonic fibroblasts (MEFs) from the mice homozygous and heterozygous for the p53R172HΔg allele were studied for growth characteristics, immortalization potential and genomic instability. All of the p53R172HΔg /+ MEF lines are immortalized under a 3T3 protocol while under the same protocol p53+/− MEFs are not immortalized. Karyotype analysis showed a persistent appearance of chromosome end-to-end fusion in the MEFs both homozygous and heterozygous for the p53R172HΔg allele. These observations suggest that increased genomic instability in the cells may cause the altered tumor phenotypes. ^