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multinomial logit (mnl) model  (STATA Corporation)


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    STATA Corporation multinomial logit (mnl) model
    Multinomial Logit (Mnl) Model, 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/multinomial+logit+model/multinomial+logit++mnl++model/pm40347324-58-10-14
    Average 90 stars, based on 1 article reviews
    multinomial logit (mnl) model - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: A multinomial logit analysis of factors associated with severity of motorcycle crashes in Ghana.
    Article Snippet: Objective: The objective of this study was to explore the factors affecting motorcycle crash severity in Ghana.. Methods: A retrospective analysis of motorcycle crash data between 2011 and 2015 was conducted using a motorcycle crash data set extracted from the National Road Traffic Crash Database at the Building and Road Research Institute (BRRI) in Ghana.. Injury severity was classified into 4 categories: Fatal, hospitalized, injured, and damage only.

    Article Title: Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown
    Article Snippet: In this study, the multinomial logit model and the associated RRR were estimated using Stata (version 14.0).

    Article Title: Preferences for innovations in healthcare delivery models in the Swiss elderly population: a latent class, choice modelling study
    Article Snippet: Then, we analysed the associations between class membership and individual characteristics (e.g. socio-demographic, health-related, insurance-related, trust and opinions on Swiss healthcare, and health literacy) using multinomial logit model (mlogit, Stata 16.0).

    Article Title: Preferences for innovations in healthcare delivery models in the Swiss elderly population: a latent class, choice modelling study.
    Article Snippet: Then, we analysed the associations between class membership and individual characteristics (e.g. socio-demographic, health-related, insurance-related, trust and opinions on Swiss healthcare, and health literacy) using multinomial logit model (mlogit, Stata 16.0).

    Article Title: The Impact of Caregiving Intensity and Religiosity on Spousal Caregivers' Health and Mortality in the US (2004-2014).
    Article Snippet: Objectives: Despite adverse physical and mental health outcomes related to caregiving, family caregivers also experience lower mortality rates compared to noncaregivers.. However, research has not yet examined the role of caregiving intensity and religiosity with health and mortality among spousal caregivers.. Methods: Data include spousal caregivers (n=5,214 person-wave observations) and noncaregivers (n=50,311 person-wave observations) from the Health and Retirement Study (2004–2014 waves).

    Article Title: Determinants of livelihood diversification in rural rain-fed region of Pakistan: evidence from fractional multinomial logit (FMLOGIT) estimation
    Article Snippet: The application of the fractional multinomial logit model in STATA software is supplied by Buis ( ).

    Article Title: Does ridesourcing impact driving decisions: A survey weighted regression analysis
    Article Snippet: The initial public offerings (IPOs) of Uber and Lyft in 2019 marked a milestone for the decade-old ridesourcing.. As we start to embrace ridesourcing in our daily life, we also rearrange our daily travel amongst different modes of transportation.. As the fundamental decisions in travel behavior, car ownership and car travel should be re-examined in the advent of shared mobility.

    Software:

    Article Title: Bayesian Multistate Life Table Methods for Large and Complex State Spaces: Development and Illustration of a New Method.
    Article Snippet: .. In the context of the multinomial logit model, we found that the independence sampler with a multivariate normal proposal distribution with mean equal to the ML estimate, and a covariance matrix equal to the covariance matrix of estimates obtained from common software such as Stata, works fairly well when (1) the sample size is large so there are few rare transitions in the data, (2) prior distributions for model parameters are relatively noninformative, and (3) the dimensionality of the multinomial outcome is small to medium (e.g., fewer than 15–20 transitions are possible in the state space). ..



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