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531.
Phillips JB 《Omega》2007,55(4):325-346
532.
Breslow and Clayton (J Am Stat Assoc 88:9–25,1993) was, and still is, a highly influential paper mobilizing the use of generalized
linear mixed models in epidemiology and a wide variety of fields. An important aspect is the feasibility in implementation
through the ready availability of related software in SAS (SAS Institute, PROC GLIMMIX, SAS Institute Inc., URL , 2007), S-plus (Insightful Corporation, S-PLUS 8, Insightful Corporation, Seattle, WA, URL , 2007), and R (R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical
Computing, Vienna, Austria, URL , 2006) for example, facilitating its broad usage. This paper reviews background to generalized linear mixed models and the
inferential techniques which have been developed for them. To provide the reader with a flavor of the utility and wide applicability
of this fundamental methodology we consider a few extensions including additive models, models for zero-heavy data, and models
accommodating latent clusters. 相似文献
533.
Dose-response studies with multiple endpoints can be formulated as closed testing or partition testing problems. When the endpoints are primary and secondary, whether the order in which the doses are to be tested is pre-determined or sample determined lead to different partitioning of the parameter space corresponding to the null hypotheses to be tested. We use the case of two doses and two endpoints to illustrate how to apply the partitioning principle to construct multiple tests that control the appropriate error rate. Graphical representation can be useful in visualizing the decision process. 相似文献
534.
535.
Jason L. Loeppky Leslie M. Moore Brian J. Williams 《Journal of statistical planning and inference》2010
Computer models simulating a physical process are used in many areas of science. Due to the complex nature of these codes it is often necessary to approximate the code, which is typically done using a Gaussian process. In many situations the number of code runs available to build the Gaussian process approximation is limited. When the initial design is small or the underlying response surface is complicated this can lead to poor approximations of the code output. In order to improve the fit of the model, sequential design strategies must be employed. In this paper we introduce two simple distance based metrics that can be used to augment an initial design in a batch sequential manner. In addition we propose a sequential updating strategy to an orthogonal array based Latin hypercube sample. We show via various real and simulated examples that the distance metrics and the extension of the orthogonal array based Latin hypercubes work well in practice. 相似文献
536.
Jason J. Z. Liao 《Pharmaceutical statistics》2010,9(2):125-132
It is often necessary to compare two measurement methods in medicine and other experimental sciences. This problem covers a broad range of data. Many authors have explored ways of assessing the agreement of two sets of measurements. However, there has been relatively little attention to the problem of determining sample size for designing an agreement study. In this paper, a method using the interval approach for concordance is proposed to calculate sample size in conducting an agreement study. The philosophy behind this is that the concordance is satisfied when no more than the pre‐specified k discordances are found for a reasonable large sample size n since it is much easier to define a discordance pair. The goal here is to find such a reasonable large sample size n. The sample size calculation is based on two rates: the discordance rate and tolerance probability, which in turn can be used to quantify an agreement study. The proposed approach is demonstrated through a real data set. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
537.
Recent work in the assessment of risk in maritime transportation systems has used simulation-based probabilistic risk assessment techniques. In the Prince William Sound and Washington State Ferries risk assessments, the studies' recommendations were backed up by estimates of their impact made using such techniques and all recommendations were implemented. However, the level of uncertainty about these estimates was not available, leaving the decisionmakers unsure whether the evidence was sufficient to assess specific risks and benefits. The first step toward assessing the impact of uncertainty in maritime risk assessments is to model the uncertainty in the simulation models used. In this article, a study of the impact of proposed ferry service expansions in San Francisco Bay is used as a case study to demonstrate the use of Bayesian simulation techniques to propagate uncertainty throughout the analysis. The conclusions drawn in the original study are shown, in this case, to be robust to the inherent uncertainties. The main intellectual merit of this work is the development of Bayesian simulation technique to model uncertainty in the assessment of maritime risk. However, Bayesian simulations have been implemented only as theoretical demonstrations. Their use in a large, complex system may be considered state of the art in the field of computational sciences. 相似文献
538.
Jason R. W. Merrick Martha Grabowski Premnath Ayyalasomayajula John R. Harrald 《Risk analysis》2005,25(4):1029-1041
Decision analysis is recognized as the right way to make risk management decisions, using probabilistic techniques to assess the accident risk. It is also accepted that the decisions that individuals in the organization make affect the likelihood of an accident and thus managerial and organizational factors should be included in the risk modeling process. However, decision analytic techniques have not been used to understand the decisions that are made by these individuals. The initial domain for this research is marine transportation. We use the framework of value-focused thinking in order to understand safety decisions made within our research partner organization, a major domestic oil tanker operator. We describe the results of interviews held with managers and employees from this organization. Through these interviews, we sought to understand the values these experts apply in their roles within the organization and the objectives they seek to achieve to contribute to its overall safety performance. The end result is a framework that not only portrays the fundamental objectives of safe operations for various roles in the organization, but also interconnects these different decision contexts. We believe that this approach is fundamentally different from those used in previous work and that this is an interesting application of value-focused thinking. 相似文献
539.
Race differentials in obesity: the impact of place 总被引:1,自引:0,他引:1
Boardman JD Saint Onge JM Rogers RG Denney JT 《Journal of health and social behavior》2005,46(3):229-243
This article reveals race differentials in obesity as both an individual- and neighborhood-level phenomena. Using neighborhood-level data from the 1990-1994 National Health Interview Survey, we find that neighborhoods characterized by high proportions of black residents have a greater prevalence of obesity than areas in which the majority of the residents are white. Using individual-level data, we also find that residents of neighborhoods in which at least one-quarter of the residents are black face a 13 percent increase in the odds of being obese compared to residents of other communities. The association between neighborhood racial composition and obesity is completely attenuated after including statistical controls for the poverty rate and obesity prevalence of respondents' neighborhoods. These findings support the underlying assumptions of both institutional and social models of neighborhood effects. 相似文献
540.
Contingent staffing arrangements are defined as conditional and transitory work arrangements. In the drug abuse treatment sector, contingent staffing arrangements have the potential to improve treatment if they are used to increase access to needed services. Alternatively, such arrangements could interfere with the development of consistent, long-term client-staff relationships. Unfortunately, little is known about the consequences of or influences on contingent staff arrangements in this sector. The goal of this study is to examine the conditions under which outpatient substance abuse treatment organizations are more likely to use contingent staffing arrangements. Building on previous research on the social organization of health care structures and practices, we develop a conceptual model based in market economics and institutional perspectives to suggest that treatment organizations choose contingent arrangements in response to market conditions and uncertainty, institutional demands, and client needs. Using data from a nationally representative study conducted in 1988, 1990, and 1995, we find limited evidence that drug treatment units use contingent staff in response to market pressures. Labor market and demand uncertainty, however, are systematically associated with greater use of contingent staff. Study results suggest that expectations and norms from the institutional environment, particularly the organizational context of the treatment unit are strong predictors of the use of contingent staff. By considering both market and social influences of contingent staffing, we contribute to a growing body of research on how markets and institutions interact to influence organizational structures and practices in the health care system. 相似文献