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Analysis of matched cohort data AgEcon
Cummings, Peter; McKnight, Barbara.
Matching is occasionally used in cohort studies; examples include studies of twins and some studies of traffic crashes. Analysis of matched cohort data is not discussed in many textbooks or articles and is not mentioned in the Stata manuals. Risk ratios can be estimated using matched-pair cohort data with Stata’s mcc command. We describe a new command, csmatch, which can produce these risk ratios and is often more convenient. We briefly review flexible regression methods that can estimate risk ratios in matched cohort data: conditional Poisson regression and some versions of Cox regression.
Tipo: Journal Article Palavras-chave: Csmatch; Cohort study; Conditional Poisson regression; Matching; Matched-pair; Matched cohort study; Risk ratio; Odds ratio; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116248
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Analyzing Landowner Demand for Wildlife and Forest Management Information AgEcon
Munn, Ian A.; Hussain, Anwar; West, Ben; Grado, Stephen C.; Jones, W. Daryl.
Determining appropriate topics and target audiences is essential to design effective educational outreach programs. Based on landowner responses to a mail survey, we determined both the importance and the availability of wildlife and forest management information topics to Mississippi landowners. Combining this information clearly identified the appropriate subject matter for outreach programs-topics important to landowners and for which information was relatively unavailable. The importance of wildlife and forest management information relative to its availability depended on the region, land use patterns, and landowner characteristics, thus demonstrating which segments of the population should be targeted to maximize program impact.
Tipo: Journal Article Palavras-chave: Complementary log-log link; Landowner information needs; Odds ratio; Ordinal regression; Outreach program budget; Land Economics/Use; Resource /Energy Economics and Policy; C25; Q16; Q23; Q26.
Ano: 2007 URL: http://purl.umn.edu/6059
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Determinants of Rural-Urban Migration in Konkan Region of Maharashtra AgEcon
Thorat, V.A.; Dhekale, J.S.; Patil, H.K.; Tilekar, S.N..
The study has identified the factors responsible for rural-urban migration based on 120 sample respondents each of migrants and non-migrants spread over two districts, viz. Ratnagiri and Sindhudurg of Konkan region of Maharashtra by employing the logit model. The study has highlighted the importance of rural development programs like MGNREGA that are being implemented by the government with a view to provide employment and income to the rural population in the country. It has also shown that for both migrant and non-migrant households,, agriculture was the major source of income, and their consumption expenditure was more than the production expenditure. It has also been observed that migration has a positive impact on income, expenditure and net savings...
Tipo: Article Palavras-chave: Migration; Logit; Variable inflation factor; Odds ratio; Agricultural and Food Policy; J11; J61; C13; R23.
Ano: 2011 URL: http://purl.umn.edu/119399
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Haplotype analysis in population-based association studies AgEcon
Mander, Adrian P..
This paper describes how to use the command hapipf and introduces the command profhap written for Stata that analyzes population-based genetic data. For these studies, association can be linkage disequilibrium within a set of loci or allelic/haplotype association with disease status. Confidence intervals for odds ratios are calculated with or without adjustment for possible factors that are confounding the relationship. Additionally, this command allows the specification of many models of association that are not widely implemented.
Tipo: Journal Article Palavras-chave: Haplotype analysis; Association tests; Profile likelihood; Odds ratio; Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/115936
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Headache complaints associated with psychiatric comorbidity in a population-based sample BJMBR
Benseñor,I.M.; Tófoli,L.F.; Andrade,L..
The objective of the present study was to determine the frequency at which people complain of any type of headache, and its relationship with sociodemographic characteristics and psychiatric comorbidity in São Paulo, Brazil. A three-step cluster sampling method was used to select 1,464 subjects aged 18 years or older. They were mainly from families of middle and upper socioeconomic levels living in the catchment area of Instituto de Psiquiatria. However, this area also contains some slums and shantytowns. The subjects were interviewed using the Brazilian version of the Composite International Diagnostic Interview version 1.1. (CIDI 1.1) by a lay trained interviewer. Answers to CIDI 1.1 questions allowed us to classify people according to their psychiatric...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Headache; Illness attribution; Psychiatric comorbidity; Brazil; Odds ratio.
Ano: 2003 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2003001000021
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Odds ratios and logistic regression: further examples of their use and interpretation AgEcon
Hailpern, Susan M.; Visintainer, Paul F..
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemiologic studies. Its popularity is understandable. The method can simultaneously adjust for confounders measured on different scales; it provides estimates that are clinically interpretable; and its estimates are valid in a variety of study designs with few underlying assumptions. To those of us in practice settings, several aspects of applying and interpreting the model, however, can be confusing and counterintuitive. We attempt to clarify some of these points through several examples. We apply the method to a study of risk factors associated with periventricular leucomalacia and intraventricular hemorrhage in neonates. We relate the logit model to...
Tipo: Journal Article Palavras-chave: Cc; Cci; Cs; Csi; Logistic; Logit; Relative risk; Case–control study; Odds ratio; Cohort study; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/116084
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Zero-inflated beta regression model for leaf citrus canker incidence in orange genotypes grafted onto different rootstocks Biological Sciences
Gonzatto Junior, Oilson Alberto; Guedes, Terezinha Aparecida; Gonçalves-Zuliane, Aline Maria Orbolato; Nunes, William Mario de Carvalho.
Data with excess zeros are frequently found in practice, and the recommended analysis is to use models that adequately address the counting of zero observations. In this study, the Zero Inflated Beta Regression Model (BeZI) was used on experimental data to describe the mean incidence of leaf citrus canker in orange groves under the influence of genotype and rootstocks of origin. Based on the model, it was possible to quantify the odds that a null observation to mean incidence comes from a particular plant according to genotype and rootstock, and estimate its expected value according to this combination. Laranja Caipira rootstock proved to be the most resistant to leaf citrus canker as well as Limão Cravo proved to be the most fragile. The Ipiguá IAC,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: 1.02.03.00-1 GAMLSS models; Inflated models; Odds ratio; Citrus sinensis; Xanthomonas citri subsp. citri. Probabilidade e Estatística Aplicadas.
Ano: 2017 URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/33063
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