456期

最新文章

• Optimal permutation tests for the analysis of group randomized trials AI翻译
  作者：Braun, TM; Feng, ZD
  作者单位：University of Michigan System; University of Michigan; Fred Hutchinson Cancer Center
  摘要：Two facts complicate the comparison of interventions in group randomized trials (GRT's), a family of clinical trials in which each member of a particular group receives the same treatment assignment. First, individual outcomes within each group are often correlated. Second, the number of groups in a GRT is often not sufficient to make asymptotic approximations possible. Therefore, the tests used with methods, such as generalized estimating equations (GEE) and penalized quasi likelihood (PQL), ...
• 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...
• 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
• 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...
• Cluster identification using projections AI翻译
  作者：Peña, D; Prieto, FJ
  作者单位：Universidad Carlos III de Madrid
  摘要：This article describes a procedure to identify clusters in multivariate data using information obtained from the univariate projections of the sample data onto certain directions. The directions are chosen as those that minimize and maximize the kurtosis coefficient of the projected data. It is shown that, under certain conditions, these directions provide the largest separation for the different clusters. The projected univariate data are used to group the observations according to the values...
• Inference for the complier-average causal effect from longitudinal data subject to noncompliance and missing data, with application to a job training assessment for the unemployed AI翻译
  作者：Yau, LHY; Little, RJ
  作者单位：GlaxoSmithKline; Glaxosmithkline USA; University of Michigan System; University of Michigan
  摘要：Longitudinal studies involving human participants are often complicated by subjects who do not comply with their treatment assignment or do not provide complete data. A treatment effect of interest in the presence of noncompliance is the complier-average causal effect (CACE; Imbens and Rubin 1997a), which is the treatment effect for subjects who would comply regardless of the assigned treatment. Imbens and Rubin (1997a,b) proposed maximum likelihood and Bayesian inferential methods for CACE, w...
• Statistical meetings: View of past, vision of future AI翻译
  作者：O'Fallon, WM
  作者单位：Mayo Clinic
• Semiparametric nonlinear mixed-effects models and their applications - Comment AI翻译
  作者：Bates, DM; Lindstrom, MJ; Wahba, G
  作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
• One-level rotation design balanced on time in monthly sample and in rotation group AI翻译
  作者：Park, YS; Kim, KW; Choi, JW
  作者单位：Korea University; Korea University; Centers for Disease Control & Prevention - USA; CDC National Center for Health Statistics (NCHS)
  摘要：We introduce the two-way balanced one-level rotation design for which balancing is done on interview time in sample and in rotation group and provide the necessary and sufficient condition for the two-way balancing and an algorithm to construct such design. Using this design, we obtain generalized composite estimators (GCE) and the minimum variance linear unbiased estimator (MVLUE). We then calculate their variance and mean squared error (MSE) when there exist two types of correlations and the...