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	Provedor de dados AgEcon (5) Autor Williams, Richard A. (5) Brown, Robert N. (1) Palavra-chave Research Methods/ Statistical Methods (3) Food Consumption/Nutrition/Food Safety (2) Categorical data (1) Cost benefit (1) De minimis (1) Decision framework (1) Generalized ordered logit model (1) Gologit (1) Gologit2 (1) Health Economics and Policy (1) Introductory (1) Logistic regression (1) Ordinal regression (1) Parallel-lines model (1) Partial proportional odds (1) Proportional odds (1) Regression models (1) Sensitive (1) Teaching (1) Mais... Tipo do documento Journal Article (3) Conference Paper or Presentation (1) Working or Discussion Paper (1) Ano 2007 (1) 2006 (2) 2004 (1) 1991 (1) País United States (5) Idioma Inglês (5)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 5 Primeira ... 1 ... Última HEALTH AND SAFETY REGULATION OF SMALL, HIGH-RISK SUBPOPULATIONS AgEcon Williams, Richard A.; Brown, Robert N.. The choice of decision framework used to set regulatory tolerance levels for hazardous substances can be divided into rigid and flexible tolerance levels. Rigid decision frameworks include zero or deminimis that fix risk levels for some subpopulation. and/or highly tolerances The accelerating identification of highly sensitive exposed individuals and the division of the population into ever smaller subpopulations at higher risk could prove to be tremendously burdensome on regulatory systems, particularly for rigid decision frameworks. Rigid tolerance levels, philosophically based on "rights" to zero or arbitrarily low excess risks for individuals, do not contain sufficient flexibility to account for small high-risk subpopulations. Furthermore, the equal... Tipo: Working or Discussion Paper Palavras-chave: De minimis; Sensitive; Decision framework; Cost benefit; Food Consumption/Nutrition/Food Safety; Health Economics and Policy. Ano: 1991 URL: http://purl.umn.edu/115914 Generalized ordered logit/partial proportional odds models for ordinal dependent variables AgEcon Williams, Richard A.. This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu’s gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of gologit2 is that it can fit three special cases of the generalized model: the proportional odds/parallel-lines model, the partial proportional odds model, and the logistic regression model. Hence, gologit2 can fit models that are less restrictive than the parallel-lines models fitted by ologit (whose assumptions are often violated) but more parsimonious and interpretable than those fitted by a nonordinal method, such as multinomial logistic regression (i.e., mlogit). Other key... Tipo: Journal Article Palavras-chave: Gologit2; Gologit; Logistic regression; Ordinal regression; Proportional odds; Partial proportional odds; Generalized ordered logit model; Parallel-lines model; Research Methods/ Statistical Methods. Ano: 2006 URL: http://purl.umn.edu/117557 Review of Statistics with Stata (Updated for Version 8) by Hamilton AgEcon Williams, Richard A.. This article reviews Statistics with Stata (Updated for Version 8) by Hamilton. Tipo: Journal Article Palavras-chave: Introductory; Teaching; Research Methods/ Statistical Methods. Ano: 2004 URL: http://purl.umn.edu/116239 Review of Regression Models for Categorical Dependent Variables Using Stata, Second Edition, by Long and Freese AgEcon Williams, Richard A.. This article reviews Regression Models for Categorical Dependent Variables Using Stata, Second Edition, by Long and Freese. Tipo: Journal Article Palavras-chave: Categorical data; Regression models; Research Methods/ Statistical Methods. Ano: 2006 URL: http://purl.umn.edu/117578 Food Icons (PowerPoint) AgEcon Williams, Richard A.. Tipo: Conference Paper or Presentation Palavras-chave: Food Consumption/Nutrition/Food Safety. Ano: 2007 URL: http://purl.umn.edu/8111 Registros recuperados: 5 Primeira ... 1 ... Última

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