Because more noncancer deaths occurred shortly after diagnosis, it appears that this excess was caused by treatment of the cancer. Generally, cancer-specific death rates underestimate the mortality associated with a diagnosis of cancer. Therefore, because the degree of underestimation changes with time, an examination solely of cancer-caused mortality in assessing progress against the disease is incomplete.

JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.Recognition and extraction of features in a nonparametric density estimate are highly dependent on correct calibration. The data-driven choice of bandwidth h in kernel density estimation is a difficult one that is compounded by the fact that the globally optimal h is not generally optimal for all values of x. In recognition of this fact a new type of graphical tool, the mode tree, is proposed. The basic mode tree plot relates the locations of modes in density estimates with the bandwidths of those estimates. Additional information can be included on the plot indicating factors such as the size of modes, how modes split, and the locations of antimodes and bumps. The use of a mode tree in adaptive multimodality investigations is proposed, and an example is given to show the value in using a normal kernel, as opposed to the biweight or other kernels, in such investigations. Examples of such investigations are provided for Ahrens's chondrite data and van Winkle's Hidalgo stamp data. Finally, the bivariate mode tree is introduced, together with an example using Scott's lipid data.

This study examines the relationships between gender ideology, work-to-family conflict, and marital satisfaction. We hypothesize that gender ideology will moderate relationships between both the respondent's work-to-family conflict and their spouse's work-to-family conflict in predicting marital satisfaction, and that spouses' gender ideologies will interact in predicting marital satisfaction. The hypotheses are addressed using data from a random sample of U.S. dual-earner couples (N=156) in a western state. The findings indicate that the more egalitarian women's gender ideologies, the stronger the negative relationship between women's marital satisfaction and women's work-to-family conflict. The results also indicate that the dependence of men's marital satisfaction on wives' gender ideologies varies according to men's own gender ideologies. Implications of the study are discussed.

No abstract

No abstract