The present report is aimed at studying the 24-h pattern of blood pressure in elderly subjects (45 men and 47 women, aged from 76 to 102 years), recruited in Campodimele, a small city where the population of ultra septuagenaries is very dense. The…
Papers in Biometry
Biometry papers in Biological Sciences, A
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Some 30 y after wolves (Canis lupus) were implicated in decimating wintering white-tailed deer (Odocoileus virginianus) in a 3000-km2 area of northeastern Minnesota, wintering deer still have not recolonized the area. From 1976 to 2004, we aerially…
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We developed a method based on interactive B-spline solids for estimating and visualizing biomechanically important parameters for animal body segments. Although the method is most useful for assessing the importance of unknowns in extinct animals,…
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OBJECTIVE: We assessed the occurrence, extent, and frequency of formation of cortical lesions (CLs) in patients with relapsing-remitting (RR) and secondary progressive (SP) multiple sclerosis (MS), and their relationship with cortical atrophy and…
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PURPOSE: To examine the psychometric properties of the 9-item Fatigue Severity Scale (FSS) using a Rasch model application. METHODS: A convenience sample of HIV-infected adults was recruited, and a subset of the sample was assessed at 6-month…
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Many decisions in drug development and medical practice are based on measuring blood concentrations of endogenous and exogenous molecules. Yet most biochemical and pharmacological events take place in the tissues. Also, most drugs with few notable…
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Multifactor dimensionality reduction (MDR) was developed as a method for detecting statistical patterns of epistasis. The overall goal of MDR is to change the representation space of the data to make interactions easier to detect. It is well known…
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Concepts of spatial scale, such as extent, grain, resolution, range, footprint, support and cartographic ratio are not interchangeable. Because of the potential confusion among the definitions of these terms, we suggest that authors avoid the term…
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Description is given of a BASIC program running on inexpensive microcomputers (Commodore CBM 64, SX 64 and Apple IIe) to facilitate and accelerate substantially the point-counting technique, one of the most widely used methods in the determination…
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This paper examines a Bayesian method for investigating the amount of institutional variation in a multicenter clinical trial with a censored failure time endpoint. A hierarchical structure is used to model the institutional effects in a…
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Suppose that the true model underlying a set of data is one of a finite set of candidate models, and that parameter estimation for this model is of primary interest. With this goal, optimal design must depend on a loss function across all possible…
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This paper describes a Bayesian modeling approach to the estimation of the no effect concentration (NEC) and the hazardous concentration (HC(x)) as an alternative to conventional methods based on NOECs - the no observed effect concentration. The…
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In applications that involve clustered data, such as longitudinal studies and developmental toxicity experiments, the number of subunits within a cluster is often correlated with outcomes measured on the individual subunits. Analyses that ignore…
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We consider modeling and Bayesian analysis for panel-count data when the termination time for each subject may depend on its history of the recurrent events. We propose a fully specified semiparametric model for the joint distribution of the…
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We consider a set of independent Bernoulli trials with possibly different success probabilities that depend on covariate values. However, the available data consist only of aggregate numbers of successes among subsets of the trials along with all of…
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The development of modern and affordable sequencing technologies has allowed the study of viral populations to an unprecedented depth. This is of particular interest for the study of within-host RNA viral populations, where variation due to…
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Decision analytic approaches (DAAs) are useful for designing surveys of fishery resources because they enable evaluation of the trade-offs of each alternative and account for uncertainty. However, such problems may require models with many uncertain…
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In studies of wild animals, one frequently encounters both count and mark-recapture-recovery data. Here, we consider an integrated Bayesian analysis of ringrecovery and count data using a state-space model. We then impose a Leslie-matrix-based model…
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We describe a general probabilistic framework for matching patterns that experience in-plane nonlinear deformations, such as iris patterns. Given a pair of images, we derive a maximum a posteriori probability (MAP) estimate of the parameters of the…
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Many deoxyribonucleic acid (DNA) sequences display compositional heterogeneity in the form of segments of similar structure. This article describes a Bayesian method that identifies such segments by using a Markov chain governed by a hidden Markov…
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