Journal of the American Statistical Association

最新文章

• Semiparametric and nonparametric regression analysis of longitudinal data AI翻译
  作者：Lin, DY; Ying, Z
  作者单位：University of North Carolina; University of North Carolina Chapel Hill; Columbia University
  摘要：This article deals with the regression analysis of repeated measurements taken at irregular and possibly subject-specific time points. The proposed semiparametric and nonparametric models postulate that the marginal distribution for the repeatedly measured response variable Y at time t is related to the vector of possibly time-varying covariates X through the equations E{Y(t)\X(t)} = alpha (0)(t) + beta'X-0(t) and E{Y(t)\X(t)\} = alpha (0)(t) + beta'(0)(t)X(t), where alpha (0)(t) is an arbitra...
• A Bayesian model for detecting acute change in nonlinear profiles AI翻译
  作者：Müller, P; Rosner, GL; Inoue, LYT; Dewhirst, MW
  作者单位：Duke University; University of Texas System; UTMD Anderson Cancer Center; Duke University
  摘要：We propose a model for longitudinal data with random effects that includes model-based smoothing of measurements over time. This research is motivated by experiments evaluating the hemodynamic effects of various agents in tumor-bearing rats. In one set of experiments, the rats breathed room air, followed by carbogen (a mixture of pure oxygen and carbon dioxide). The experimental responses are longitudinal measurements of oxygen pressure measured in tissue, tumor blood flow, and mean arterial p...
• Parametric and nonparametric methods for understanding the relationship between carcinogen-induced DNA adduct levels in distal and proximal regions of the colon AI翻译
  作者：Morris, JS; Wang, NY; Lupton, JR; Chapkin, RS; Turner, ND; Hong, MY; Carroll, RJ
  作者单位：University of Texas System; UTMD Anderson Cancer Center; Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station
  摘要：An important problem in studying the etiology of colon cancer is understanding the relationship between DNA adduct levels (broadly, DNA damage) in cells within colonic crypts in distal and proximal parts of the colon, following treatment with a carcinogen and different types of diet. In particular, it is important to understand whether rats who have elevated adduct levels in particular positions in distal region crypts also have elevated levels in the same positions of the crypts in proximal r...
• Smoothing spline ANOVA for multivariate Bernoulli observations, with application to ophthalmology data - Comment AI翻译
  作者：Yee, TW; Wild, CJ
  作者单位：University of Auckland
• Classification trees with unbiased multiway splits AI翻译
  作者：Kim, H; Loh, WY
  作者单位：Worcester Polytechnic Institute; University of Wisconsin System; University of Wisconsin Madison
  摘要：Two univariate split methods and one linear combination split method are proposed for the construction of classification trees with multiway splits. Examples are given where the trees are more compact and hence easier to interpret than binary trees. A major strength of the univariate split methods is that they have negligible bias in variable selection, both when the variables differ in the number of splits they offer and when they differ in the number of missing values. This is an advantage b...
• A proposed design and analysis for comparing digital and analog mammography: Special receiver operating characteristic methods for cancer screening AI翻译
  作者：Baker, SG; Pinsky, PF
  作者单位：National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
  摘要：Because randomized trials have shown a reduction in breast cancer mortality, analog mammography for the early detection of breast cancer has gained widespread use. Recently, several manufacturers have developed digital mammography, which promises great advantages in the storage and transmission of images. We were asked to design a study to compare the two types of mammography in terms of their performance for the early detection of breast cancer. A standard measure of mammography performance i...
• Semiparametric nonlinear mixed-effects models and their applications - Comment AI翻译
  作者：French, JL; Kammann, EE; Wand, MP
  作者单位：Harvard University; Harvard T.H. Chan School of Public Health
• Information and posterior probability criteria for model selection in local likelihood estimation AI翻译
  作者：Irizarry, RA
  作者单位：Johns Hopkins University
  摘要：Local likelihood estimation has proven to be an effective method for obtaining estimates of parameters that vary with a covariate. To obtain useful estimates of such parameters, approximating models are used. In such cases it is useful to consider window based estimates. We may need to choose between competing approximating models. In this article, we propose a modification to the methods used to motivate many information and posterior probability criteria for the weighted likelihood case. We ...
• Iterative automated record linkage using mixture models AI翻译
  作者：Larsen, MD; Rubin, DB
  作者单位：University of Chicago; Harvard University
  摘要：The goal of record linkage is to link quickly and accurately records that correspond to the same person or entity. Whereas certain patterns of agreements and disagreements on variables are more likely among records pertaining to a single person than among records for different people, the observed patterns for pairs of records can be viewed as arising from a mixture of matches and nonmatches. Mixture model estimates can be used to partition record pairs into two or more groups that can be labe...
• Bayesian semiparametric median regression modeling AI翻译
  作者：Kottas, A; Gelfand, AE
  作者单位：Duke University; University of Connecticut
  摘要：Median regression models become an attractive alternative to mean regression models when employing flexible families of distributions for the errors. Classical approaches are typically algorithmic with desirable proper-ties emerging asymptotically. However, nonparametric error models may be most attractive in the case of smaller sample sizes where parametric specifications arc difficult to justify. Hence, a Bayesian approach, enabling exact inference given the observed data, may be appealing. ...