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kernel density estimation function  (STATA Corporation)


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    STATA Corporation kernel density estimation function
    Kernel Density Estimation Function, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/kernel+density+estimation/kernel+density+estimation/pm40311366-199-19-25
    Average 90 stars, based on 1 article reviews
    kernel density estimation function - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Do backers prefer crowdfunding or pre-order? An empirical study
    Article Snippet: In the common support test, kernel density estimation of the project data after matching was obtained by using the Stata graphing method. shows the kernel density curves of the two groups of projects after matching in the crowdfunding stage and pre-order stage.

    Article Title: Propofol and survival: an updated meta-analysis of randomized clinical trials.
    Article Snippet: To contextualize and visualize the main findings, the relative risk (RR) and 95% CIs for mortality were used, simulating 100,000 trials on the log scale and generating a representative probability density function on the risk ratio scale using kernel density estimation, and estimating the probability of any harm (RR ≥ 1) using STATA v.17 (STATACorp, College Station, USA).


    Article Title: Spatial Patterns and Optimization Policies of Low-Carbon Competitiveness of Urban Agglomerations in the Yellow River Basin under the Perspective of Complex Ecosystems
    Article Snippet: 239 240 Fig.3 Kernel Density Estimation of LC Competitiveness of UAs in YRB 241 4.2 Characteristics of spatial connections 242 4.2.1 Characteristics of spatial connections of overall LC competitiveness of UAs in the YRB 243 To investigate whether the LC competitiveness of neighboring cities within UAs of YRB has a significant 244 correlation, this paper employs Stata software to conduct a global spatial autocorrelation analysis of LC 245 competitiveness in UAs of YRB, utilizing the spatial geographical distance matrix, and obtains the global Moran's 246 I values for UAs of YRB (see Table 3).

    Software:

    Article Title: Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China
    Article Snippet: .. The kernel density estimation of the levels of UIR in 2010, 2015, and 2019 was conducted using Stata 15.1 software to reveal the characteristics of the evolution of the distribution of UIR across China ( ). ..

    Article Title: Dynamic evolution of urban infrastructure resilience and its spatial spillover effects: An empirical study from China.
    Article Snippet: .. The kernel density estimation of the levels of UIR in 2010, 2015, and 2019 was conducted using Stata 15.1 software to reveal the characteristics of the evolution of the distribution of UIR across China (Fig 2). ..

    Generated:

    Article Title: Etomidate as an induction agent for endotracheal intubation in critically ill patients: A meta-analysis of randomized trials.
    Article Snippet: Purpose: We performed a meta-analysis of randomized controlled trials to evaluate if etomidate impacted mortality in critically ill adults when compared with other induction agents.. Materials and methods: We searched PubMed, Embase, and the Cochrane Central Register of Controlled Trials for randomized controlled trials which compared etomidate with any other induction agent in critically ill adult patients undergoing endotracheal intubation.. The primary outcome was mortality at the main timepoint defined by the study.



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    3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Journal: Frontiers in Health Services

    Article Title: Evaluating and enhancing the service capacity of secondary public hospitals in urban China: a multi-method empirical analysis based on Guangzhou (2019–2023)

    doi: 10.3389/frhs.2025.1621018

    Figure Lengend Snippet: 3D Kernel Density Estimation of composite service capacity scores for 12 secondary public hospitals in Guangzhou (2019–2023).

    Article Snippet: To analyze the dynamic evolution of service capacity across institutions, a 3D Kernel Density Estimation (KDE) was constructed using MATLAB, based on composite TOPSIS scores from 2019 to 2023.

    Techniques:

    Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Journal: Brain

    Article Title: White matter connections within the central sulcus subserving the somato-cognitive action network

    doi: 10.1093/brain/awaf022

    Figure Lengend Snippet: Intraoperative direct electrical stimulation sites . All stimulation sites for Patients 1–6 ( A – F ) are visualized on a 3D reconstruction of the anterior bank of their central sulcus and combined on the International Consortium for Brain Mapping (ICBM) 152 central sulcus template ( G ). Effector-specific sites are displayed in blue, while inter-effector sites [somato-cognitive action network (SCAN)] are displayed in red. H displays the spatial relationship between the inter-effector sites and the plis de passage (PDP) Montreal Neurological Institute (MNI) coordinates ( top ) and their probability density estimation ( bottom ). The three coloured circles in the top image represent the same PDP sites as in . ( I ) Box plot showing the probability of overlap between stimulation sites [inter-effector (red) versus single-effector (blue)] for the two subsectors (anterior, posterior) of area 4. Mann–Whitney U-test; not significant, ns: P ≥ 0.05.

    Article Snippet: The region of highest probability of evoking MEPs was computed using a modified in-house version of probability kernel density estimation (PDE analysis) implemented in MATLAB.

    Techniques: MANN-WHITNEY