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作者:Huang, CY; Wang, MC
作者单位:University of Minnesota System; University of Minnesota Twin Cities; Johns Hopkins University; Johns Hopkins Bloomberg School of Public Health
摘要:Recurrent event data are commonly encountered in longitudinal follow-up Studies related to biomedical science, econometrics. reliability, and demography. In many studies. recurrent events serve as important measurements for evaluating disease progression, health deterioration. or insurance risk. When analyzing recurrent event data, an independent censoring condition is typically required for the construction of statistical methods. In some situations. however, the terminating time for observin...
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作者:Chen, MH; Ibrahim, JG; Shao, QM
作者单位:University of Connecticut; University of North Carolina; University of North Carolina Chapel Hill; University of Oregon; National University of Singapore
摘要:Characterizing model identifiability in the presence of missing covariate data is a very important issue in missing data problems. In this article. we characterize the propriety of the posterior distribution of the regression coefficients for some general classes of regression models, including the class of generalized linear models (GLM's) and parametric survival models with right-censored data. Toward this goal, we 14 derive some very general and easy-to-check conditions for the matrix of co...
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作者:Chatterjee, N
作者单位:National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI); NIH National Cancer Institute- Division of Cancer Epidemiology & Genetics
摘要:Polytomous logistic regression is commonly used to analyze epidemiological data with disease subtype information. In this approach effects of exposures on different disease subtypes are studied through separate exposure odds ratios comparing different case groups to the common control group. This article considers the situation where disease subtypes can be defined Using multiple characteristics of a disease. For efficient analysis of such data, a two-stage modeling approach is proposed. At th...
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作者:Lockwood, JR; Schervish, MJ; Gurian, PL; Small, MJ
作者单位:RAND Corporation; University of Texas System; University of Texas El Paso; Carnegie Mellon University; Carnegie Mellon University; Carnegie Mellon University
摘要:The current framework for U.S. Environmental Protection Agency regulation of water quality in community drinking water supplies produces sequential rules for either single contaminants or small groups of similar contaminants. For both substantive and pragmatic reasons, some water industry experts have advocated the development of a more holistic regulatory process in which rules are promulgated less frequently but for larger contaminant classes. Such a framework would require the expansion of ...
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作者:Imai, K; van Dyk, DA
作者单位:Princeton University; University of California System; University of California Irvine
摘要:In this article we develop the theoretical properties of the propensity function, which is a generalization of the propensity score of Rosenbaum and Rubin. Methods based on the propensity score have long been used for causal inference in observational studies; they are easy to use and can effectively reduce the bias caused by nonrandom treatment assignment. Although treatment regimes need not be binary in practice, the propensity score methods are generally confined to binary treatment scenari...
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作者:Li, Y; Ryan, L
作者单位:Harvard University; Harvard T.H. Chan School of Public Health; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要:This article is motivated by a time-to-event analysis where the covariate of interest was measured at the wrong time. We show that the problem can be formulated as a special case of survival analysis with heterogeneous covariate measurement error and develop a general analytic framework. We study the asymptotic behavior of the naive partial likelihood estimates and analytically demonstrate that under the heterogeneous measurement error structure and the assumption that all components of the co...
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作者:Wu, ZJ; Irizarry, RA; Gentleman, R; Martinez-Murillo, F; Spencer, F
作者单位:Johns Hopkins University; Johns Hopkins University; Johns Hopkins University; Harvard University; Harvard University Medical Affiliates; Dana-Farber Cancer Institute
摘要:High-density oligonucleotide expression arrays are widely used in many areas of biomedical research. Affymetrix GeneChip arrays are the most popular, In the Affymetrix system. a fair amount of further preprocessing and data reduction occurs after the image-processing step. Statistical procedures developed by academic groups have been successful in improving the default algorithms provided by the Affymetrix system. In this article we present a solution to one of the preprocessing steps-backgrou...
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作者:Briggs, W
作者单位:Cornell University; Weill Cornell Medicine
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作者:Akritas, MG; Papadatos, N
作者单位:Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park; National & Kapodistrian University of Athens
摘要:Recent articles have considered the asymptotic behavior of the one-way analysis of variance (ANOVA) F statistic when the number of levels or groups is large. In these articles, the results were obtained under the assumption of homoscedasticity and for the case when the sample or group sizes n(i) remain fixed as the number of groups, a, tends to infinity. In this article. we study both weighted and unweighted test statistics in the heteroscedastic case. The unweighted statistic is new and can b...
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作者:Singpurwalla, ND; Booker, JM
作者单位:George Washington University; United States Department of Energy (DOE); Los Alamos National Laboratory
摘要:The notion of fuzzy sets has proven useful in the context of control theory, pattern recognition, and medical diagnosis. However, it has also spawned the view that classical probability theory is unable to deal with uncertainties in natural language and machine learning, so that alternatives to probability are needed. One such alternative is what is known as possibility theory. Such alternatives have come into being because past attempts at making fuzzy set theory and probability theory work i...