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作者：Landrum, MB; Normand, SLT; Rosenheck, RA
作者单位：Harvard University; Harvard Medical School; Harvard University; Harvard T.H. Chan School of Public Health; Yale University
摘要：Quantitative performance monitoring of health care providers has become an increasingly prominent activity in health care delivery. As a consequence, multidimensional report cards comparing the quality of services provided by diverse health care organizations have begun to appear. We present a case study examining the performance of 22 geographically defined health care systems, known as Veterans Integrated Service Networks; involving the treatment of more than 37,000 veterans discharged from ...
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作者：Ishwaran, H; Rao, JS
作者单位：Cleveland Clinic Foundation; University System of Ohio; Case Western Reserve University
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作者：Javaras, KN; Van Dyk, DA
作者单位：University of Oxford; University of California System; University of California Irvine
摘要：We consider the application of multiple imputation to data containing not only partially missing categorical and continuous variables, but also partially missing 'semicontinuous' variables (variables that take on a single discrete value with positive probability but are otherwise continuously distributed). As an imputation model for data sets of this type, we introduce an extension of the standard general location model proposed by Olkin and Tate; our extension, the blocked general location mo...
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作者：Morris, JS; Vannucci, M; Brown, PJ; 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; University of Kent; Texas A&M University System; Texas A&M University College Station
摘要：In this article we develop new methods for analyzing the data from an experiment using rodent models to investigate the effect of type of dietary fat on O-6-methylguanine-DNA-methyltransferase (MGMT), an important biomarker in early colon carcinogenesis. The data consist of observed profiles over a spatial variable contained within a two-stage hierarchy, a structure that we dub hierarchical functional data. We present a new method providing a unified framework for modeling these data, simultan...
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作者：Krueger, AB; Zhu, P
作者单位：Princeton University
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作者：Greenland, S
作者单位：University of California System; University of California Los Angeles; University of California System; University of California Los Angeles
摘要：This article examines the potential for misleading inferences from conventional analyses and sensitivity analyses of observational data, and describes some proposed solutions based on specifying prior distributions for uncontrolled sources of bias. The issues are illustrated in a sensitivity analysis of confounding in a study of residential wire code and childhood leukemia and in a pooled analysis of 12 studies of magnetic-field measurements and childhood leukemia. Both analyses have been inte...
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作者：Rosenthal, JS
作者单位：University of Toronto
摘要：This article considers nearly-periodic Markov chains that may have excellent functional estimation properties but poor distributional convergence rate. It shows how simple modifications of the chain (involving using a random number of iterations) can greatly improve the distributional convergence of the chain. Various theoretical results about convergence rates of the modified chains are proven. A number of examples, including a transdimensional Markov chain Monte Carlo example, a card-shuffli...
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作者：Gilbert, S
作者单位：Southern Illinois University System; Southern Illinois University
摘要：In one-way analysis of variance, a main interest is in differences among the groups that comprise the population. For a given parameter, such as a mean value, data yield parameter estimates for each group, as well as group rankings based on these statistics. Here ranking probabilities are studied under the assumption that parameter estimates are well approximated by a normal distribution, either in finite samples or asymptotically, with possible intergroup heteroscedasticity and correlation. P...
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作者：Clements, A; Hurn, S; Lindsay, K
作者单位：Queensland University of Technology (QUT); University of Glasgow
摘要：It is well known that the manipulation of sample data by means of a parametric function can improve the performance of kernel density estimation. This article proposes a two-parameter Mobius-like function to map sample data drawn from a semi-infinite space into [-1, 1). A standard kernel method is then used to estimate the density. The proposed method is shown to yield effective estimates of density and is computationally more efficient than other well-known transformation methods. The efficac...
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作者：Hjort, NL; Claeskens, G
作者单位：University of Oslo; Texas A&M University System; Texas A&M University College Station
摘要：The traditional use of model selection methods in practice is to proceed as if the final selected model had been chosen in advance, without acknowledging the additional uncertainty introduced by model selection. This often means underreporting of variability and too optimistic confidence intervals. We build a general large-sample likelihood apparatus in which limiting distributions and risk properties of estimators post-selection as well as of model average estimators are precisely described, ...
