Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “model selection”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 487 records · Page 27Linked to original sources
PubMed1991

The evolution of social communication systems in a subdivided population.

Evolution of social communication systems is modeled with a quantitative genetic model. The mathematical model describes the coevolutionary process of a social signal (a social character) and responsiveness (a social preference) to the signal. The responsiveness is postulated to influence fitness of senders of the signal. Considerations are extended to subdivided population structure by combining the social selection model with a group selection model. The numerical results derived from the models indicate that the evolutionary rate of social communication systems depends largely on genetic correlation between the signal and the responsiveness. Group selection can reinforce the evolutionary rate and relax its dependence on genetic correlation. The origin of genetic correlation is discussed in relation to group selection.

Animal Communication↗
PubMed1997

Multilocus dynamics under haploid selection.

A general haploid selection model with arbitrary number of multiallelic loci and arbitrary linkage distribution is considered. The population is supposed to be panmictic. A dynamically equivalent diploid selection model is introduced. There is a position effect in this model if the original haploid selection is not multiplicative. If haploid selection is additive then the fundamental theorem is established even with an estimate for the change in the mean fitness. On this basis exponential convergence to an equilibrium is proved. As rule, the limit states are single-gamete ones. If, moreover, linkage is tight, then the single-gamete state with maximal fitness attracts the population for almost all initial states.

Haploidy↗
PubMed2006

Selection of generative models in classification.

This paper is concerned with the selection of a generative model for supervised classification. Classical criteria for model selection assess the fit of a model rather than its ability to produce a low classification error rate. A new criterion, the Bayesian Entropy Criterion (BEC), is proposed. This criterion takes into account the decisional purpose of a model by minimizing the integrated classification entropy. It provides an interesting alternative to the cross-validated error rate which is computationally expensive. The asymptotic behavior of the BEC criterion is presented. Numerical experiments on both simulated and real data sets show that BEC performs better than the BIC criterion to select a model minimizing the classification error rate and provides analogous performance to the cross-validated error rate.

Algorithms↗
PubMed2006

A theoretical model of selective cooling using intracarotid cold saline infusion in the human brain.

A three-dimensional mathematical model was developed to examine the transient and steady-state temperature distribution in the human brain during selective brain cooling (SBC) by unilateral intracarotid freezing-cold saline infusion. To determine the combined effect of hemodilution and hypothermia from the cold saline infusion, data from studies investigating the effect of these two parameters on cerebral blood flow (CBF) were pooled, and an analytic expression describing the combined effect of the two factors was derived. The Pennes bioheat equation used the thermal properties of the different cranial layers and the effect of cold saline infusion on CBF to propagate the evolution of brain temperature. A healthy brain and a brain with stroke (ischemic core and penumbra) were modeled. CBF and metabolic rate data were reduced to simulate the core and penumbra. Simulations using different saline flow rates were performed. The results suggested that a flow rate of 30 ml/min is sufficient to induce moderate hypothermia within 10 min in the ipsilateral hemisphere. The brain with stroke cooled to lower temperatures than the healthy brain, mainly because the stroke limited the total intracarotid blood flow. Gray matter cooled twice as fast as white matter. The continuously falling hematocrit was the main time-limiting factor, restricting the SBC to a maximum of 3 h. The study demonstrated that SBC by intracarotid saline infusion is feasible in humans and may be the fastest method of hypothermia induction.

Blood Flow Velocity↗
PubMed1992

Differential ethanol intake in Tryon maze-bright and Tryon maze-dull rats: implications for the validity of the animal model of selectively bred rats for high ethanol consumption.

The search for a genetically based "animal model of alcoholism" has led to the creation of extensive research programs using various combinations of initial ethanol preference screening techniques and breeding methods to yield rodents with primary genetic differences that contribute to high or low ethanol preference. The present experiment examined the ethanol intake of the Tryon rat strain, which were bred for high and low maze learning scores. It was observed that the Tryon Maze Bright rats displayed an unprecedented affinity for ethanol with stable intakes between 12.7 and 13.7 g/kg per day and preference ratios exceeding 0.75 for ethanol concentrations ranging between 15 and 29%. The pattern of ethanol intake of the Tryon Maze Dull rats resembled the ethanol intake pattern of other, non-selectively bred strains of rats, approximately 2-3 g/kg of absolute ethanol at preference ratios between 0.11 and 0.28. The affinity for ethanol observed for the Tryon Maze Bright rats seems to exceed the reported consumption patterns of rat strains specifically bred for high ethanol consumption although the Tryon rats were selectively bred for variables that were seemingly unrelated to ethanol intake.

Alcohol Drinking↗
PubMed2006

Effects of belief and logic on syllogistic reasoning: Eye-movement evidence for selective processing models.

Studies of syllogistic reasoning have demonstrated a nonlogical tendency for people to endorse more believable conclusions than unbelievable ones. This belief bias effect is more dominant on invalid syllogisms than valid ones, giving rise to a logic by belief interaction. We report an experiment in which participants' eye movements were recorded in order to provide insights into the nature and time course of the reasoning processes associated with manipulations of conclusion validity and believability. Our main dependent measure was people's inspection times for syllogistic premises, and we tested predictions deriving from three contemporary mental-models accounts of the logic by belief interaction. Results supported recent "selective processing" theories of belief bias (e.g., Evans, 2000; Klauer, Musch, & Naumer, 2000), which assume that the believability of a conclusion biases model construction processes, rather than biasing the search for falsifying models (e.g., Oakhill & Johnson-Laird, 1985) or a response stage of reasoning arising from subjective uncertainty (e.g., Quayle & Ball, 2000). We conclude by suggesting that the eye-movement analyses in reasoning research may provide a useful adjunct to other process-tracing techniques such as verbal protocol analysis.

Culture↗
PubMed2002

Analysing longitudinal continuous quality of life data with dropout.

Quality of Life (QL) is becoming an increasingly popular endpoint in phase III cancer clinical trials. However, there is still no agreement as to what is the optimal approach to analysis. In this paper we review some concepts which should be considered during a QL analysis. We present two modelling approaches that have been substantively developed in other research fields: selection models and pattern-mixture models. These models are compared using data from an EORTC clinical trial in poor-prognosis prostate cancer patients. It is illustrated that, although selection models and pattern mixture are probabilistically equivalent, they may shed completely different light on data from a modeller's point of view.

Clinical Trials, Phase III as Topic↗
PubMedDate not supplied

Applying a feminist analysis model to selected nursing studies of women with HIV.

Women's mental health has been linked to oppression and to oppressive practices in health care. Feminist approaches to health care delivery and research have been suggested as a remedy for the subtle and overt oppression faced by women, and many nurses have used feminist principles to conduct and report their research and to critique existing studies. Though nursing authors have identified useful feminist guides for conducting and reporting research, few examples of the practice of feminist critiques of research are available in the nursing literature. This analysis synthesizes and adapts feminist principles from nursing literature and presents a feminist model to review selected nursing research reports of women with human immunodeficiency virus (HIV). A convenience sample of eight articles from nursing journals was examined for statements or implications that the author(s) (a) perceived the purposes of the study as benefiting women, (b) demonstrated an awareness of the structures and policies that oppress women, (c) were sensitive to issues of diversity, (d) were committed to social change, and (e) recognized the female participants' strengths. The selected articles were found to meet many of the feminist criteria, although these principles were not always explicitly addressed in the articles.

Female↗
PubMed1999

Behavioral choices based on patch selection: a model using aggregation methods.

The aim of this work is to study the influence of patch selection on the dynamics of a system describing the interactions between two populations, generically called 'population N' and 'population P'. Our model may be applied to prey-predator systems as well as to certain host-parasite or parasitoid systems. A situation in which population P affects the spatial distribution of population N is considered. We deal with a heterogeneous environment composed of two spatial patches: population P lives only in patch 1, while individuals belonging to population N migrate between patch 1 and patch 2, which may be a refuge. Therefore they are divided into two patch sub-populations and can migrate according to different migration laws. We make the assumption that the patch change is fast, whereas the growth and interaction processes are slower. We take advantage of the two time scales to perform aggregation methods in order to obtain a global model describing the time evolution of the total populations, at a slow time scale. At first, a migration law which is independent on population P density is considered. In this case the global model is equivalent to the local one, and under certain conditions, population P always gets extinct. Then, the same model, but in which individuals belonging to population N leave patch 1 proportionally to population P density, is studied. This particular behavioral choice leads to a dynamically richer global system, which favors stability and population coexistence. Finally, we study a third example corresponding to the addition of an aggregative behavior of population N on patch 1. This leads to a more complicated situation in which, according to initial conditions, the global system is described by two different aggregated models. Under certain conditions on parameters a stable limit cycle occurs, leading to periodic variations of the total population densities, as well as of the local densities on the spatial patches.

Animals↗
PubMed2002

Role models, ethnic identity, and health-risk behaviors in urban adolescents.

BACKGROUND: The assumption that role models or mentors constructively influence adolescent psychological functioning has prompted societal investment in mentoring programs. However, there has been little empirical evaluation of the relationship between role model or mentor characteristics and health behaviors. OBJECTIVES: To describe role model selection in urban adolescents and examine the relationships between role model characteristics, psychosocial functioning, and health-risk behaviors. DESIGN: Cross-sectional survey. PARTICIPANTS: A population-based, multiethnic sample of Los Angeles County adolescents aged 12 to 17 years was generated from a 3-stage, area-probability sampling frame. Of 877 adolescents identified, 749 are included in this analysis. METHODS: In-person, in-home interviews were conducted. MAIN OUTCOME MEASURES: Substance use, academic performance, and self-perception (measures of ethnic identify and self-esteem). Ethnic identity was measured by an adaptation of a scale developed by Phinney (J Adolesc Res. 1992;7:156-176) to assess commonalities across ethnic groups. RESULTS: Fifty-six percent of adolescents identified a role model. Higher levels of ethnic identity were associated with moving from identifying no role model to identifying a figure primarily available through the media to identifying a known individual, familial or nonfamilial (P<.001). Having a role model, particularly an individual known to the adolescent, was also associated with higher self-esteem (P<.001) and higher grades (P<.05). For white males without custodial fathers, having a role model was associated with decreased substance use (P<.05). CONCLUSION: Role model selection is associated with protective psychosocial characteristics.

Adolescent↗
PubMed1999

Bayesian neural networks for classification: how useful is the evidence framework?

This paper presents an empirical assessment of the Bayesian evidence framework for neural networks using four synthetic and four real-world classification problems. We focus on three issues; model selection, automatic relevance determination (ARD) and the use of committees. Model selection using the evidence criterion is only tenable if the number of training examples exceeds the number of network weights by a factor of five or ten. With this number of available examples, however, cross-validation is a viable alternative. The ARD feature selection scheme is only useful in networks with many hidden units and for data sets containing many irrelevant variables. ARD is also useful as a hard feature selection method. Results on applying the evidence framework to the real-world data sets showed that committees of Bayesian networks achieved classification accuracies similar to the best alternative methods. Importantly, this was achievable with a minimum of human intervention.

Journal Article↗
PubMed2000

Lightness from contrast: a selective integration model.

As has been observed by Wallach (1948), perceived lightness is proportional to the ratio between the luminances of adjacent regions in simple disk-annulus or bipartite scenes. This psychophysical finding resonates with neurophysiological evidence that retinal mechanisms of receptor adaptation and lateral inhibition transform the incoming illuminance array into local measures of luminance contrast. In many scenic configurations, however, the perceived lightness of a region is not proportional to its ratio with immediately adjacent regions. In a particularly striking example of this phenomenon, called White's illusion, the relationship between the perceived lightnesses of two gray regions is the opposite of what is predicted by local edge ratios or contrasts. This paper offers a new treatment of how local measures of luminance contrast can be selectively integrated to simulate lightness percepts in a wide range of image configurations. Our approach builds on a tradition of edge integration models (Horn, 1974; Land & McCann, 1971) and contrast/filling-in models (Cohen & Grossberg, 1984; Gerrits & Vendrik 1970; Grossberg & Mingolla, 1985a, 1985b). Our selective integration model (SIM) extends the explanatory power of previous models, allowing simulation of a number of phenomena, including White's effect, the Benary Cross, and shading and transparency effects reported by Adelson (1993), as well as aspects of motion, depth, haploscopic, and Gelb induced contrast effects. We also include an independently derived variant of a recent depthful version of White's illusion, showing that our model can inspire new stimuli.

Contrast Sensitivity↗
PubMed2001

Polytomous modeling of cognitive errors in computer adaptive testing.

In the past two decades of psychometric research, an array of extended item response models has been proposed to capture the complex nature of human cognition. While the literature abounds in model fit analysis, the debate on model selection in different testing conditions continues. This study examines the problems of model selection in computer adaptive testing (CAT) of cognitive errors by comparing the relative measurement efficiency of polytomous modeling over dichotomous modeling under different scoring schemes and termination criteria. Monte Carlo simulation was adopted as the inquiry paradigm to generate 1000 subjects and 100 items in the calibration sample and 200 simulees in the CAT sample. The results suggest that polytomous CAT yields marginal gains over dichotomous CAT when termination criteria are more stringent (shorter test length or smaller standard error of ability estimate). When the conventional dichotomous scoring scheme is adopted, in which all partially correct answers are scored as incorrect, polytomous CAT cannot prevent the non-uniform gain in test information as was observed in paper-and-pencil testing.

Computer Simulation↗
PubMed2003

Benchmark criteria: a tool for selecting appropriate models in the field of water management.

A milestone in the field of European water protection policy is the European Union's Water Framework Directive (WFD), which came into force in December 2000 and which integrates the management of European waters in many ways. In this study, we start by focusing on management issues connected to the implementation of the WFD and pose a question: "what type of models would be the most suitable for use in the context of the WFD?" With this question in mind, we aim to establish a set of operational and functional selection criteria for (computer) models whose application is intended to support decision-making related to a particular water management issue. These so-called "benchmark criteria" should help water managers and other model users in choosing appropriate models, e.g., for the WFD implementation purposes. We first describe models and their use in general and then propose an approach for setting the benchmark criteria for models, basing it on the concept of uncertainty management, while keeping firmly in mind the important role of citizens and citizen organizations in water management. The suggested benchmark criteria are in the form of 14 questions through which each model can be evaluated. Finally, the process for testing and refining the benchmark criteria is highlighted.

Benchmarking↗
PubMed1996

Inhibition of NADH oxidation by 1-methyl-4-phenylpyridinium analogs as the basis for the prediction of the inhibitory potency of novel compounds.

Inhibition of NADH dehydrogenase (Complex I) of the mitochondrial respiratory chain by 1-methyl-4-phenylpyridinium (MPP+) and its analogs results in dopaminergic cell death. In the present study, the inhibition of mitochondrial respiration and of NADH oxidation in inverted inner membrane preparations by the oxidation products of N-methyl-stilbazoles (N-methyl-styrylpyridiniums) are characterized. These nonflexible MPP+ analogs were found to be considerably more potent inhibitors than the corresponding MPP+ derivatives. The IC50 values for these compounds and previously published figures for MPP+ analogs were then used to select a computer model based on structural parameters to predict the inhibitory potency of other compounds that react at the "rotenone site" in Complex I. A series of 12 novel inhibitors different in structure from the basic set were used to test the predictive capacity of the models selected. Despite major structural differences between the novel test compounds and the MPP+ and styrylpyridinium analogs on which the models were based, substantial agreement was found between the predicted and experimentally determined IC50 values. The value of this technique lies in the potential for the prediction of the inhibitory potency of other drugs and toxins which block mitochondrial respiration by interacting at the rotenone sites.

1-Methyl-4-phenylpyridinium↗
PubMed1990

Statistical modeling of selected aspects of the childbearing process with application to World Fertility Survey countries.

"A mathematical model for estimation of certain aspects of the childbearing process, which requires only data on age-specific fertility rates, is developed. Synthetic maternal childbearing indices, namely, mean ages at first and last birth, length of reproductive life span, inter-birth spacing, and proportion of childless women, in addition to the well-known mean age at childbearing, for the WFS [World Fertility Surveys conducted in developing] countries are obtained using the proposed model. The indices are free from age truncation effects, and, under certain assumptions, provide information about a cohort's completed fertility before the women stop reproducing. The effects of women's residence and education on fertility are also examined." (SUMMARY IN FRE)

Age Factors↗
PubMed1994

A model of selective processing of auditory-nerve inputs by stellate cells of the antero-ventral cochlear nucleus.

Stellate cells in the cat antero-ventral cochlear nucleus (AVCN) maintain a robust rate-place representation of vowel spectra over a wide range of stimulus levels. This rate-place representation resembles that of low threshold, high spontaneous rate (SR) auditory nerve fibers (ANFs) at low stimulus levels, and that of high threshold, low-medium SR ANFs at high stimulus levels. One hypothesis accounting for this phenomenon is that AVCN stellate cells selectively process inputs from different SR population of ANFs in a level-dependent fashion. In this paper, we investigate a neural mechanism that can support selective processing of ANF inputs by stellate cells. We study a physiologically detailed compartmental model of stellate cells. The model reproduces PST histograms and rate-versus-level functions measured in real cells. These results indicate that simple and plausible distribution patterns of excitatory and inhibitory inputs within the stellate cell dendritic tree can support level dependent selective processing. Factors affecting selective processing are identified. This study thus represents a first step towards the development of a computational model of the AVCN stellate cell receptive field.

Animals↗