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Comparing coefficients of nested nonlinear probability models

Kohler, Ulrich; Karlson, Kristian Bernt; Holm, Anders - In: Stata Journal 11 (2011) 3, pp. 420-438

In a series of recent articles, Karlson, Holm, and Breen (Breen, Karlson, and Holm, 2011, http://papers.ssrn.com/sol3/papers.cfm?abstractid=1730065; Karlson and Holm, 2011, Research in Stratification and Social Mobility 29: 221– 237; Karlson, Holm, and Breen, 2010, http://www.yale.edu/ciqle/Breen...

Persistent link: https://www.econbiz.de/10011002411

A score test for group comparisons in single-index models

Guimaraes, Paulo - In: Stata Journal 13 (2013) 4, pp. 876-883

a particular case. The postestimation command scoregrp implements the test and works with logit, logistic, probit …, poisson, or regress (see [R] logit, [R] logistic, [R] probit, [R] poisson, and [R] regress). Finally, I show some applications …

Persistent link: https://www.econbiz.de/10010726730

Model fit assessment via marginal model plots

Lindsey, Charles; Sheather, Simon - In: Stata Journal 10 (2010) 2, pp. 215-225

We present a new Stata command, mmp, that generates marginal model plots (Cook and Weisberg, 1997, Journal of the American Statistical Association 92: 490–499) for a regression model. These plots allow for the comparison of the fitted model with a nonparametric or semiparametric model fit. The...

Persistent link: https://www.econbiz.de/10008455930

Computing adjusted risk ratios and risk differences in Stata

Norton, Edward C.; Miller, Morgen M.; Kleinman, Lawrence C. - In: Stata Journal 13 (2013) 3, pp. 492-509

logit, probit, and related nonlinear models. Building on Stata’s margins command, we create a new postestimation command …, adjrr, that calculates adjusted risk ratios and adjusted risk differences after running a logit or probit model with a …

Persistent link: https://www.econbiz.de/10010691932

Direct and indirect effects in a logit model

Buis, Maarten L. - In: Stata Journal 10 (2010) 1, pp. 11-29

–9733) for decomposing a total effect in a logit model into direct and indirect effects. Moreover, I extend this method in three …

Persistent link: https://www.econbiz.de/10008518209

Understanding the multinomial-Poisson transformation

Guimaraes, Paulo - In: Stata Journal 4 (2004) 3, pp. 265-273

regression may be transformed into a logit model and vice versa. In this paper, I show the data transformations required to …

Persistent link: https://www.econbiz.de/10005450151

Intra-class correlation in random-effects models for binary data

Rodriguez, German; Elo, Irma - In: Stata Journal 3 (2003) 1, pp. 32-46

We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata's xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two...

Persistent link: https://www.econbiz.de/10005748322

Odds ratios and logistic regression: further examples of their use and interpretation

Hailpern, Susan M.; Visintainer, Paul F. - In: Stata Journal 3 (2003) 3, pp. 213-225

the logit model to Cornfield's 2x2 table and discuss its application to both cohort and case-control study design …. Interpretations of odds ratios, relative risk, and beta_0 from the logit model are presented. Copyright 2003 by StataCorp LP. …

Persistent link: https://www.econbiz.de/10005583375

Goodness-of-fit test for a logistic regression model fitted using survey sample data

Archer, Kellie J.; Lemeshow, Stanley - In: Stata Journal 6 (2006) 1, pp. 97-105

Persistent link: https://www.econbiz.de/10005583380

Boolean logit and probit in Stata

Braumoeller, Bear F. - In: Stata Journal 4 (2004) 4, pp. 436-441

This paper introduces new statistical models, Boolean logit and probit, that allow researchers to model binary outcomes … the unobserved outcome in a standard logit or probit equation, and the dependent variable is modeled as the observed …

Persistent link: https://www.econbiz.de/10005568813