2001

最新文章

• 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. ...
• Nonparametric estimation with recurrent event data AI翻译
  作者：Peña, EA; Strawderman, RL; Hollander, M
  作者单位：University of South Carolina System; University of South Carolina Columbia; Cornell University; Cornell University; State University System of Florida; Florida State University
  摘要：The problem of nonparametric estimation for the distribution function governing the time to occurrence of a recurrent event in the presence of censoring is considered. We derive Nelson-Aalen and Kaplan-Meier-type estimators for the distribution function, and establish their respective finite-sample and asymptotic properties. We allow for random observation periods for each subject under study and explicitly account for the informative sum-quota nature of the data accrual scheme. These allowanc...
• Regularization of wavelet approximations - Discussion AI翻译
  作者：Solo, V
  作者单位：University of New South Wales Sydney
• Semiparametric and nonparametric regression analysis of longitudinal data - Comment AI翻译
  作者：Lin, XH; Carroll, RJ
  作者单位：University of Michigan System; University of Michigan; Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station
• Inference for a random wavelet packet model of single-channel event-related potentials AI翻译
  作者：Raz, J; Turetsky, BI; Dickerson, LW
  作者单位：University of Pennsylvania; University of Pennsylvania; University of Iowa
  摘要：Event-related potentials (ERPs) are brain electrical potentials associated with sensory and cognitive processing. ERP researchers typically wish to separate a recorded time series into functionally distinct component waveforms, and to estimate the effects of experimental conditions on each component. We present an integrated statistical approach to the decomposition of single-channel ERPs and to inference concerning the component waveforms and the effects of experimental conditions on the ampl...