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| Registros recuperados: 11 | |
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| Cui, James. |
| The Buckley–James method and the Cox proportional hazards model were proposed in the 1970s. Both methods can be used to analyze survival-type data, although the former focuses on calculation of the expected value of the survival time and the latter on the relative risk of explanatory variables on the failure event. In cardiovascular disease epidemiological studies, it is essential to correct the effect of taking antihypertensive medicine, which means we need to calculate the expected blood pressure for people who take the medicine. I developed a Stata program to calculate the Buckley–James estimate. I will describe how to use this program to calculate the expected value of a censored outcome and illustrate the method through an example from a... |
| Tipo: Journal Article |
Palavras-chave: Buckley–James method; Censoring; Expectation; Survival; Research Methods/ Statistical Methods. |
| Ano: 2005 |
URL: http://purl.umn.edu/117542 |
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| Belasco, Eric J.; Ghosh, Sujit K.. |
| This research develops a mixture regression model that is shown to have advantages over the classical Tobit model in model fit and predictive tests when data are generated from a two step process. Additionally, the model is shown to allow for flexibility in distributional assumptions while nesting the classic Tobit model. A simulated data set is utilized to assess the potential loss in efficiency from model misspecification, assuming the Tobit and a zero-inflated log-normal distribution, which is derived from the generalized mixture model. Results from simulations key on the finding that the proposed zero-inflated log-normal model clearly outperforms the Tobit model when data are generated from a two step process. When data are generated from a Tobit... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Censoring; Livestock production; Tobit; Zero-inflated; Bayesian; Livestock Production/Industries. |
| Ano: 2008 |
URL: http://purl.umn.edu/6341 |
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| Sam, Abdoul G.; Zheng, Yi. |
| This article proposes a semiparametric two-step procedure for estimating a censored consumer demand system with micro data. The semiparametric estimator considered in the first step is suggested by Klein and Spady (1993). This estimator, used as a counterpart of the probit estimator in a conventional two-step model, does not make any distributional assumptions about the disturbances and so is exempt from model misspecification and plausible heteroscedasticity. In the second step, we motivate the choice of the Almost Ideal Demand System (AIDS) as an economic representation of consumers' demand behavior. Implementing our proposed semiparametric two-step procedure as well as Shonkwiler and Yen (1999)'s two-step model to a household meat consumption dataset... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Censoring; Semiparametric estimator; Consumer demand system; Food expenditures; Demand and Price Analysis. |
| Ano: 2007 |
URL: http://purl.umn.edu/9686 |
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| Hutasuhut, Maradoli; O'Donnell, Christopher J.; Chang, Hui-Shung (Christie); Griffith, Garry R.; Doran, Howard E.. |
| In this study, meat consumption and socio-demographic data from the 1990, 1993 and 1996 SUSENAS Household Food Expenditure and Consumption Surveys were employed to estimate the demand for meats in Indonesia. The provinces of DKI Jakarta and West Java were chosen as the areas of study because of the population, level of meat consumption and the availability and quality of information in these two provinces. Several statistical and econometric procedures were performed. Firstly, a cluster analysis (Nicol, 1991) was used to aggregate the 16 meat types recorded in the SUSENAS into four Meat Groups (MG-1, 2, 3 and 4). Secondly, a double truncation procedure was used to estimate the linear approximation of the Almost Ideal Demand System (LA/AIDS) because of the... |
| Tipo: Presentation |
Palavras-chave: Censoring; Cluster analysis; Cross-sectional data; Linearised AIDS.; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety. |
| Ano: 2000 |
URL: http://purl.umn.edu/123666 |
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| Registros recuperados: 11 | |
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