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| Registros recuperados: 30 | |
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| Prado,Thiago Nascimento do; Rajan,Jayant V.; Miranda,Angélica Espinosa; Dias,Elias dos Santos; Cosme,Lorrayne Beliqui; Possuelo,Lia Gonçalves; Sanchez,Mauro N.; Golub,Jonathan E.; Riley,Lee W.; Maciel,Ethel Leonor. |
| Abstract Background: TB patients co-infected with HIV have worse treatment outcomes than non-coinfected patients. How clinical characteristics of TB and socioeconomic characteristics influence these outcomes is poorly understood. Here, we use polytomous regression analysis to identify clinical and epidemiological characteristics associated with unfavorable treatment outcomes among TB-HIV co-infected patients in Brazil. Methods: TB-HIV cases reported in the Brazilian information system (SINAN) between January 1, 2001 and December 31, 2011 were identified and categorized by TB treatment outcome (cure, default, death, and development of MDR TB). We modeled treatment outcome as a function of clinical characteristics of TB and patient socioeconomic... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Tuberculosis; HIV; Coinfection; Logistic regression. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702017000200162 |
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| Fewell, Zoe; Hernan, Miguel A.; Wolfe, Frederick; Tilling, Kate; Choi, Hyon; Sterne, Jonathan A.C.. |
| Longitudinal studies in which exposures, confounders, and outcomes are measured repeatedly over time have the potential to allow causal inferences about the effects of exposure on outcome. There is particular interest in estimating the causal effects of medical treatments (or other interventions) in circumstances in which a randomized controlled trial is difficult or impossible. However, standard methods for estimating exposure effects in longitudinal studies are biased in the presence of time-dependent confounders affected by prior treatment. This article describes the use of marginal structural models (described by Robins, Hernán, and Brumback [2000]) to estimate exposure or treatment effects in the presence of time-dependent confounders affected by... |
| Tipo: Journal Article |
Palavras-chave: Marginal structural models; Causal models; Weighted regression; Survival analysis; Logistic regression; Confounding; Research Methods/ Statistical Methods. |
| Ano: 2004 |
URL: http://purl.umn.edu/116267 |
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| Subbotin, Alexander. |
| The Russian establishment- politicians, agricultural officials, corporate farm managers, the media- firmly believe that inadequate access to credit is one of the major factors constraining the growth of the agricultural sector. In technical terms, they in effect claim that Russian agriculture faces credit rationing. In this article, we apply discrete regression analysis to study the determinants of access to credit for corporate farms, without addressing the issue of whether or not the actual borrowing is sufficient for the farms' needs. Our analysis shows that factors reflecting economic efficiency are the main determinants of access to credit. On the other hand, asset endowments, such as land and capital stock, have a very weak effect on the ability to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Russian agriculture; Transition economics; Farm finance; Credit rationing; Logistic regression; Agricultural Finance; P340; Q140. |
| Ano: 2005 |
URL: http://purl.umn.edu/24514 |
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| Randela, Rendani; Alemu, Zerihun Gudeta; Groenewald, Jan A.. |
| This paper uses data collected from 177 small-scale farming households in Mpumalanga in an effort to identify factors that significantly influence the degree of commercialisation or market participation. A logistic regression model was applied within the transaction costs framework. Results support the hypothesis that transactions costs rank among the main determinants of commercialisation. The following variables were statistically significant: age, ability to speak/understand English, region, ownership of transport, access to market information, distance to market, dependency ratio, trust, land size and ownership of livestock. Increases in the latter four have negative effects on commercialisation. The negative relationship between land size and... |
| Tipo: Journal Article |
Palavras-chave: Market participation; Household commercialisation; Logistic regression; Transaction costs. |
| Ano: 2008 |
URL: http://purl.umn.edu/47656 |
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| Archer, Kellie J.; Lemeshow, Stanley. |
| After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer–Lemeshow test, which is available in Stata and most other statistical software programs. However, it is often of interest to fit a logistic regression model to sample survey data, such as data from the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodness-of-fit testing procedures have been developed or implemented in available software. To address this problem, a Stata ado-command, svylogitgof, for estimating the F-adjusted mean residual test after svy: logit or svy: logistic estimation... |
| Tipo: Journal Article |
Palavras-chave: Svylogitgof; Goodness of fit; Survey design; Svy; Logistic regression; Logit; Research Methods/ Statistical Methods. |
| Ano: 2006 |
URL: http://purl.umn.edu/117559 |
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| Greer, Heather C.; Trapp, James N.. |
| Quality grade, yield grade, and other feedlot performance factors explain much of the variation in profit under grid pricing. Thus, feedlot owners can change profits by adjusting time on feed to influence these performance factors. This research uses growth models, logistic regression, and an optimization process to determine how the optimal number of days on feed changes under different grid pricing structures. It was found that large quality or small yield discounts increases the optimal number of days on feed and small quality or large yield discounts result in fewer days on feed. Losses associated with a grid having large quality discounts are minimized as cattle fed for more days are able to obtain Choice premiums despite the discounts for more Yield... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Grid pricing; Profits; Animal growth; Logistic regression; Days on feed; Livestock Production/Industries; Marketing. |
| Ano: 2000 |
URL: http://purl.umn.edu/18926 |
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| Registros recuperados: 30 | |
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