The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis

The multinomial logistic regression model (MLRM) can be interpreted as a natural extension of the binomial model with logit link function to situations where the response variable can have three or more possible outcomes. In addition, when the categories of the response variable are nominal, the MLRM can be expressed in terms of two or more logistic models and analyzed in both frequentist and Bayesian approaches. However, few discussions about post modeling in categorical data models are found in the literature, and they mainly use Bayesian inference. The objective of this work is to present classic and Bayesian diagnostic measures for categorical data models. These measures are applied to a dataset (status) of patients undergoing kidney transplantation.     

Same same but different? Comparing institutional performance in the long-term care systems of Japan and South Korea

Responding to a rapidly aging population, Japan and South Korea introduced social insurance-based long-term care systems (LTCSs) in 2000 and 2008, respectively. Korea studied and took up key features of Japan's system while evolving along its own trajectory in line with its healthcare system. The aim of the present study is to unpack the broad category of ‘social insurance’ to explore how distinct system inputs and designs in Korea and Japan related to outcomes in performance measured in terms of coverage, quality of care, and sustainability. In doing so, the study serves as an important starting point for advancing a new stream of social policy research on the comparative performance of LTCSs. Our findings demonstrate that despite adopting a common system type, differences in implementation of the social insurance model (particularly in terms of financing and governance) contributed to divergent performance, with Japan outperforming Korea on most indicators during the observed period. This bears contrary implications for policymaking in the two countries: Whereas Japanese policymakers are faced with the challenge of promoting quality while containing spending, in Korea greater investment is required to strengthen the workforce and build up community care.     

The McDonald Weibull model

For the first time, we propose a five-parameter lifetime model called the McDonald Weibull distribution to extend the Weibull, exponentiated Weibull, beta Weibull and Kumaraswamy Weibull distributions, among several other models. We obtain explicit expressions for the ordinary moments, quantile and generating functions, mean deviations and moments of the order statistics. We use the method of maximum likelihood to fit the new distribution and determine the observed information matrix. We define the log-McDonald Weibull regression model for censored data. The potentiality of the new model is illustrated by means of two real data sets.     

A Log-Linear Regression Model for the Beta-Weibull Distribution

We introduce the log-beta Weibull regression model based on the beta Weibull distribution (Famoye et al., 2005 Famoye , F. , Lee , C. , Olumolade , O. ( 2005 ). The beta-Weibull distribution . Journal of Statistical Theory and Applications 4 : 121 – 136 . [Google Scholar]; Lee et al., 2007 Lee , C. , Famoye , F. , Olumolade , O. ( 2007 ). Beta-Weibull distribution: Some properties and applications to censored data . Journal of Modern Applied Statistical Methods 6 : 173 – 186 .[Crossref] , [Google Scholar]). We derive expansions for the moment generating function which do not depend on complicated functions. The new regression model represents a parametric family of models that includes as sub-models several widely known regression models that can be applied to censored survival data. We employ a frequentist analysis, a jackknife estimator, and a parametric bootstrap for the parameters of the proposed model. We derive the appropriate matrices for assessing local influences on the parameter estimates under different perturbation schemes and present some ways to assess global influences. Further, for different parameter settings, sample sizes, and censoring percentages, several simulations are performed. In addition, the empirical distribution of some modified residuals are displayed and compared with the standard normal distribution. These studies suggest that the residual analysis usually performed in normal linear regression models can be extended to a modified deviance residual in the proposed regression model applied to censored data. We define martingale and deviance residuals to evaluate the model assumptions. The extended regression model is very useful for the analysis of real data and could give more realistic fits than other special regression models.     

Corrigendum to “Games With Imperfectly Observable Actions in Continuous Time”

Sannikov (2007) investigated properties of perfect public equilibria in continuous‐time repeated games. This note points out that the proof of Lemma 6, required for the proof of the main theorem (Theorem 2), contains an error in computing a Hessian matrix. A correct proof of Lemma 6 is provided using an additional innocuous assumption and a generalized version of Lemma 5.     

A new regression model for rates and proportions data with applications

We propose a new continuous distribution in the interval (0,1) based on the generalized odd log-logistic-G family, whose density function can be symmetrical, asymmetric, unimodal and bimodal. The new model is implemented using the gamlss packages in R. We propose an extended regression based on this distribution which includes as sub-models some important regressions. We employ a frequentist and Bayesian analysis to estimate the parameters and adopt the non-parametric and parametric bootstrap methods to obtain better efficiency of the estimators. Some simulations are conducted to verify the empirical distribution of the maximum likelihood estimators. We compare the empirical distribution of the quantile residuals with the standard normal distribution. The extended regression can give more realistic fits than other regressions in the analysis of proportional data.     

Zero-spiked regression models generated by gamma random variables with application in the resin oil production

Zero-inflated data are more frequent when the data represent counts. However, there are practical situations in which continuous data contain an excess of zeros. In these cases, the zero-inflated Poisson, binomial or negative binomial models are not suitable. In order to reduce this gap, we propose the zero-spiked gamma-Weibull (ZSGW) model by mixing a distribution which is degenerate at zero with the gamma-Weibull distribution, which has positive support. The model attempts to estimate simultaneously the effects of explanatory variables on the response variable and the zero-spiked. We consider a frequentist analysis and a non-parametric bootstrap for estimating the parameters of the ZSGW regression model. We derive the appropriate matrices for assessing local influence on the model parameters. We illustrate the performance of the proposed regression model by means of a real data set (copaiba oil resin production) from a study carried out at the Department of Forest Science of the Luiz de Queiroz School of Agriculture, University of São Paulo. Based on the ZSGW regression model, we determine the explanatory variables that can influence the excess of zeros of the resin oil production and identify influential observations. We also prove empirically that the proposed regression model can be superior to the zero-adjusted inverse Gaussian regression model to fit zero-inflated positive continuous data.     

A consistent method of estimation for the three-parameter lognormal distribution based on Type-II right censored data

ABSTRACT

In this paper, we propose a parameter estimation method for the three-parameter lognormal distribution based on Type-II right censored data. In the proposed method, under mild conditions, the estimates always exist uniquely in the entire parameter space, and the estimators also have consistency over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method performs very well compared to a prominent method of estimation in terms of bias and root mean squared error (RMSE) in small-sample situations. Finally, two examples based on real data sets are presented for illustrating the proposed method.     

The McDonald extended distribution: properties and applications

We study a five-parameter lifetime distribution called the McDonald extended exponential model to generalize the exponential, generalized exponential, Kumaraswamy exponential and beta exponential distributions, among others. We obtain explicit expressions for the moments and incomplete moments, quantile and generating functions, mean deviations, Bonferroni and Lorenz curves and Gini concentration index. The method of maximum likelihood and a Bayesian procedure are adopted for estimating the model parameters. The applicability of the new model is illustrated by means of a real data set.     

Time Difference Gentrification as a Bloodless Revolution: Class Structure and Spatial Polarization in the Tokyo Metropolitan Area after the 1980s

Economic disparity in Japan has been increasing since approximately 1980. This change has been particularly significant in one of its global cities, the Tokyo metropolitan area, resulting in a dramatic transformation of its socio‐spatial structure. Until the 1980s, economic disparity in Tokyo was not as large as that in the whole of Japan. Moreover, the concentration of high‐income households in the center of Tokyo was not significant. However, the old middle class, which consist of self‐employed individuals, and small capitalist class began to dissolve in the 1980s and 1990s, respectively, resulting in a decline in the population in the center of the city and its surrounding areas. In the 2000s the new middle class began to move into these areas. This was gentrification; however, because of the time difference between the dissolution of the old middle class and small capitalists and the influx of the new middle class, it was not violent but proceeded in a relatively peaceful manner. Until 1990, in areas 20‐40 km from the center of Tokyo, income levels and the proportion of the new middle class were high, however by 2010 the proportion of the working class had increased, and income levels had fallen significantly. Thus, in the Tokyo metropolitan area, the old middle class and the small capitalists in and around the center of Tokyo were replaced by the new middle class, and a hierarchical socio‐spatial structure culminationg in the center of Tokyo developed.