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About 10,000 papers for “Marginal model”

model Marginal

Log Likeli · 2016

model, ‘Relaxed ’ indicates an Uncorrelated Lognormal relaxed molecular clock. For the coalescent model, ‘Constant ’ stands for constant population size, ‘Expo ’ for exponential growth and ‘BSP ’ for Bayesian skyline plot. ‘∆BF ’ is the difference in Bayes Factor with the best model using the method from [1] as implemented in Beast. Classically, ∆BF> 3 is positive evidence and a ∆BF> 10 is strong evidence for a difference between two models.

Cited by 0

Nonlinear Marginal Model

Wiley series in probability and statistics · 2004

This chapter includes the following topics: Fixed Matrix of Random Effects Varied Matrix of Random Effects Three Types of Nonlinear Marginal Models Total Generalized Estimating Equations Approach Summary Points

Cited by 0

Marginal Model Plots.

David D. Huff (133410), Steven T. Lindley (133416), Polly S. Rankin (204308) et al. · Figshare · 2015

<p>Four marginal model plots for green sturgeon detection data showing the response variable (Detection-Days) on the vertical axes and the horizontal axes denote numeric predictor values (plotted points) in the final GLM model. Margin model plots provide a graphical representation of model fit by showing the marginal relationships between the response and each predictor. We fitted a regression function for each of the plots using a lowess smooth function for the data (solid blue line) and for the fitted values (dashed red line).</p>

Cited by 0Open access

Final explanative model. Marginal effects.

Jesús Martín-Fernández (406234), Tamara Alonso-Safont (21262345), Elena Polentinos-Castro (406239) et al. · Figshare · 2025

<div> Objective This study, conducted in the community setting, aimed to assess and discuss how a diagnosis of arterial hypertension affects self-perceived health status, examining the association with potential explanatory factors and comparing its impact with that of other chronic conditions. Methods Cross-sectional observational study using the 2011–2012 and 2017 Spanish National Health Surveys and the 2020 European Health Interview Survey for Spain as data sources. Health perception was categorised as very good, good, fair, bad, or very bad. The independent variables recorded demographic, social, clinical, and lifestyle information. The associations between variables were evaluated via a generalisation of an ordered logit model. Results A total of 66,168 subjects were included (21,007 in 2011, 23,089 in 2017, and 22,072 in 2020), 21.6% of whom were diagnosed with hypertension, 51.3% were women, and the average age was 48.24 (18.89) years. Around one in five people in the general population reported a “very good” health status. The probability of reporting a “very good” health condition decreased with a diagnosis of hypertension (6.2%; CI 95%: 3.1–9.3%) and hypertensive medication (4.5%; CI 95%: 1.8–7.3%). Such associations were independent of age, gender, social group, other chronic conditions or limitations, or various lifestyle habits. In contrast, no association was found with reporting a “bad” or “very bad” health status. Conclusion Being diagnosed with hypertension and prescription of antihypertensive medication are associated with a lower probability of reporting a “very good” health status, irrespective of other comorbidities or complications related to the diagnosis. </div>

Cited by 0Open access

Damselfish marginal model outputs (SPSS).

Fiza Zahid (20558708), Laura Gajdzik (5032307), Keith E. Korsmeyer (20558711) et al. · Figshare · 2025

&lt;p&gt;Akaike’s information criterion (AIC) scores for tested Marginal Models of the damselfishes’ standardized growth rates between 2010 and 2019, listed from best to worst. All models had a repeated effect of ‘year’ with subject as individual fish samples and first-order autoregressive (AR1) as the covariance structure. To allow for comparison of models with different fixed effects, Maximum Likelihood (ML) estimation was used.&lt;/p&gt; &lt;p&gt;(PDF)&lt;/p&gt;

Cited by 0Open access

Coral marginal model outputs (SPSS).

Fiza Zahid (20558708), Laura Gajdzik (5032307), Keith E. Korsmeyer (20558711) et al. · Figshare · 2025

&lt;p&gt;Akaike’s information criterion (AIC) scores for tested Marginal Models of the corals’ standardized growth rates between 2010 and 2018, listed from best to worst. All models had a repeated effect of ‘year’ with subject as individual coral cores and an unstructured covariance matrix. To allow for comparison of models with different fixed effects, Maximum Likelihood (ML) estimation was used.&lt;/p&gt; &lt;p&gt;(PDF)&lt;/p&gt;

Cited by 0Open access

Marginal Sufficient Component Cause Model

Etsuji Suzuki, Eiji Yamamoto · Epidemiology · 2021

For decades, the sufficient cause model and the counterfactual model have shaped our understanding of causation in biomedical science, and the link between these two models has enabled us to obtain a deeper understanding of causality. Recently, a new causal model-the marginal sufficient component cause model-was proposed and applied in the context of interaction or mediation. The proponents of this model have emphasized its utility in visualizing the presence of "agonism" (a subtype of mechanistic interaction) in the counterfactual framework, claiming that the concept of agonism has not been clearly defined in causal inference and that agonistic interaction cannot be visualized by the conventional sufficient cause model. In this article, we illustrate that careful scrutiny based on the conventional sufficient cause model yields further insights into the concept of agonism in a more biologic sense. We primarily focus on the following three points: (1) "agonism" defined in the counterfactual model can be visualized as sets of sufficient causes in the conventional sufficient cause model; (2) although the so-called independent competing assumption or no redundancy assumption may seem irrelevant in the marginal sufficient component cause model, researchers do need to assume that potential completion times of relevant marginal sufficient causes differ; and (3) possibly differing potential completion times of marginal sufficient causes cannot be discerned until their hidden mechanistic paths are considered in the conventional sufficient cause model. In this rapidly progressing field of research, decades after its introduction, the sufficient cause model retains its worth.

Cited by 4

Marginal Field Model – An Initiative to Develop Marginal and Sub-marginal Fields with Minimum Investment

Watanapong Ratawessanun, R. Buaboocha, T. Khumtong et al. · 2024

Summary Offshore Sarawak is a prolific area that have been producing oil and gas for several decades. Although petroleum system is proven and promising, size of the remaining fields/prospects posts great challenge to the field development especially on economic viability. Most of the big size reservoirs have been discovered, produced and depleted, however, many small-size fields in the area remain untouched since they are sub-commercial. PTTEP, therefore, introduces the “Sarawak Model” which is an initiative to develop those marginal fields through minimum development cost. Sarawak Model focuses on 3 main initiatives which are (1) Standardized Platform, (2) Well Factory Model and (3) Integrated Master Plan. This paper will elaborate more details and keys to success of each initiative and also the way to synergize them in order to maximize robustness of the Sarawak Model According to the conceptual evaluation and market survey result, it is envisaged that Sarawak Model can reduce cost of platform and development wells up to 30% which can unlock and maximize marginal fields in the Sarawak area.

Cited by 0

Searching Model Structures Based on Marginal Model Structures

Sung-Ho Kim, Sangjin Lee · InTech eBooks · 2008

Graphs are used effectively in representing model structures in a variety of research fields such as statistics, artificial intelligence, data mining, biological science, medicine, decision science, educational science, etc. We use different forms of graphs according to the nature of the random variables involved. For instance, arrows are used when the relationship is asymmetric as when it is causal or temporal, and undirected edges are used when the relationship is associative.

Cited by 2Open access

MPB: Marginal Profit Business Model (Extended)

Ndoni, Albi · Zenodo (CERN European Organization for Nuclear Research) · 2025

The Marginal Profit Business (MPB) is a model centered on high-volume sales with minimal profit margins per unit. Its core mission is twofold: 1. To make goods and services accessible to the general population by pricing them affordably 2. To maintain strong market competitiveness through volume-based strategy and operational efficiency.

Cited by 0Open access