The multinomial (a.k.a. polytomous) logistic regression model is a simple extension of the binomial logistic regression model. They are used when the dependent variable has more than two nominal (unordered) categories. Dummy coding of independent variables is quite common. In multinomial logistic ...
实际操作中，可以使用Stata等统计软件的命令简化过程。例如，Stata中的lclogit命令能直接应用EM算法估计MNL模型参数，使得操作更为便捷。相关研究文献：Scott, J. G., & Sun, L. (2013). Expectation-maximization for logistic regression. arXiv preprint arXiv:1306.0040.
Data was collected using a 2-stage cluster design, in which enumeration areas formed the first stage and households made the second stage. The survey was conducted from March 21, 2019, to June 28, 2019. The analysis was done using multinomial logistic regression using STATA software version 14...
Log likelihood = -2154.2058 Iteration 2: Log likelihood = -2154.2057 Fixed-effects multinomial logistic regression Number of obs = 4,310 Group variable: id Number of groups = 720 Obs per group: min = 5 avg = 6.0 max = 7 LR chi2(8) = 67.42 Log likelihood = -2154.2057 Prob > chi2 ...
New estimation commandmprobitalso fits multinomial probit models to categorical data but in the simplified situation of having only case-specific covariates (as with the multinomial logistic regression,mlogit). Maximizing the likelihood is much faster in such cases because the numerical approximation to ...
技术总结（王刚背景音：）嫌推模型麻烦的同学，可以直接用 Stata 里的 lclogit 命令。Scott, J. G.,...
Regression 1 Thislectureexploresmultinomiallogisticregression ThecontextanddatatypeThemultinomiallogisticregressionequationFittingamultinomiallogisticregressioninSPSSAnexampleofmaritalstatusanalysisusingStata 2 Thecontext Inmanysituations,binary(dichotomous)variablesaretoosimpletoaddressourneedinanalyzingdemographicandsocial...
STATA software version 16 was used to analyze a weighted sample of 89,504 women aged 15–49 years. A composite index of maternal health service utilization has been created by combining three key health services and categorizing them into ‘no’, ‘partial’, or ‘adequate’ use. A multi...
<- See Stata's other features cmmprobitfits multinomial probit (MNP) models to discrete choice data.cmmprobitallows several correlation structures for the alternatives, including completely unstructured, where all possible correlations are estimated. It also allows for either heteroskedastic or homoskedas...
log likelihood = -2136.2728 Iteration 2: log likelihood = -2136.2728 Fixed-effects multinomial logistic regression Number of obs = 4,310 Group variable: id Number of groups = 720 Obs per group: min = 5 avg = 6.0 max = 7 LR chi2(10) = 103.29 Log likelihood = -2136.2728 Prob > chi2...