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shows the results of estimating equations based

Results: The research shows that the level of knowledge of health care workers on ASD

Results: The research shows that the level of knowledge of health care workers on ASD

... Material and methods: 122 health workers took part in the study in the Regional Specialist Hospital in Grudziadz: doctors, nurses / midwifes and registrants / medical secretaries. Results: The research ...

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Estimating gravity equations with endogeneous trade costs

Estimating gravity equations with endogeneous trade costs

... the results are all significant and ...2 shows the results after using the instrumental variable and simulta- neous equation model ...the results under the restriction that there are no ...

33

Mapping Quantitative Trait Loci Using Generalized Estimating Equations

Mapping Quantitative Trait Loci Using Generalized Estimating Equations

... above shows lar, a test of a single pleiotropic QTL against linked QTL, that the good performance of method III for univariate each affecting a single trait, is produced by comparing binary traits observed by ...

13

Estimating Equations for Estimation of Mcdonald Generalized Beta— Binomial Parameters

Estimating Equations for Estimation of Mcdonald Generalized Beta— Binomial Parameters

... are based on the knowledge of moments and one of the advantages of this approach is that it is robust to model ...comparison results in this paper indicate that the Estimating Equ- ations are ...

9

Estimating Error and Bias in Offline Evaluation Results

Estimating Error and Bias in Offline Evaluation Results

... 1 shows our simulation architecture; it models the user interaction that is fun- damentally assumed by offline evaluation: users like items, and consume items that they (usually) like, producing records such as ...

6

Asymptotic Results with Generalized Estimating Equations for Longitudinal data II

Asymptotic Results with Generalized Estimating Equations for Longitudinal data II

... We consider the marginal models of Liang and Zeger (1986) for the analysis of longitudinal data and we develop a theory of statistical in- ference for such models. We prove the existence, weak consistency and asymptotic ...

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Stagewise Estimating Equations

Stagewise Estimating Equations

... strong hierarchy settings however, ACTS tends to be the best, especially as the sample size increases. Finally, both proposed techniques are executed far faster than hierNet, with the largest discrepancy having a factor ...

128

Estimating Euler equations

Estimating Euler equations

... have devastating effects on our ability to obtain consistent estimates of the parameters of interest. Moreover, while the asymptotics (large T) properties of the non-linear GMM estimator are clear, there is no much ...

41

7 Generalized Estimating Equations

7 Generalized Estimating Equations

... Subject and within-subject variables cannot be used to de¿ne the response, but they can perform other functions in the model. For example, Hospital ID could be used as a factor in the model. Covariance Matrix. The ...

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Maximum empirical likelihood estimation in U-statistics based general estimating equations

Maximum empirical likelihood estimation in U-statistics based general estimating equations

... Soon it was realized that it can also be used to construct point estimators. Qin and Lawless (1994) linked empirical likelihood with GEE’s and investigated maximum em- pirical likelihood estimators (MELE’s). They ...

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Estimating equations for biomarker based exposure estimation under non-steady-state conditions

Estimating equations for biomarker based exposure estimation under non-steady-state conditions

... proposed estimating equation approach to bio- marker based exposure assessment represents a compro- mise between the steady-state model, which is overly simplistic but still widely used because of its ...

10

Estimating Structural Change in Linear Simultaneous Equations

Estimating Structural Change in Linear Simultaneous Equations

... is based on the principle of dynamic programming and allows global minimizers to be obtained using a number of sums of squared residuals rather than an exhaustive grid ...different equations may differ to ...

13

Estimating the sample size for fitting taper equations

Estimating the sample size for fitting taper equations

... taper equations to describe tree bole shapes, but few researchers have investigated how large the sample size should ...taper equations. Two cases of sample size estimation were tested, based on the ...

7

Estimating Euler Equations with the Return on Total Wealth

Estimating Euler Equations with the Return on Total Wealth

... For the first instruments set, shown in the first four rows of Table 4, the test for consump- tion growth and stock return fails to reject the null hypothesis of weak instruments, which is consistent with Yogo’s (2004) ...

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Developing equations for estimating reference evapotranspiration in Australia

Developing equations for estimating reference evapotranspiration in Australia

... 1 Introduction Water resources scarcity due to droughts in Australia and other countries is a particularly serious challenge for decision makers. In this regard, accurate estimation of ET 0 is necessary for purposes such ...

25

The R Package geepack for Generalized Estimating Equations

The R Package geepack for Generalized Estimating Equations

... Table 6 presents the results from the fit of the simple generalized linear model and the fits obtained by using GEE with the different working correlations. In all cases the estimates of β are in close agreement. ...

11

Comparing Results of Five Glomerular Filtration Rate-Estimating Equations in the Korean General Population. MDRD Study, Revised Lund-Malmö, and Three CKD-EPI Equations

Comparing Results of Five Glomerular Filtration Rate-Estimating Equations in the Korean General Population. MDRD Study, Revised Lund-Malmö, and Three CKD-EPI Equations

... males, α is -0.248 for females and -0.207 for males. Serum Cr levels were determined by the kinetic Jaffe method using SICDIA CRE reagent (Shinyang Chemical, Seoul, Korea) on an automated chemistry analyzer (HITACHI ...

8

Estimating Parameters of Partial Differential Equations with Gradient Matching

Estimating Parameters of Partial Differential Equations with Gradient Matching

... The results show that with properly selected covariance functions and hyper- parameters, the parameter estimation using noise-free simulated data can give results which are very close to the true values of ...

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A-Optimal Subsampling For Big Data General Estimating Equations

A-Optimal Subsampling For Big Data General Estimating Equations

... general estimating equation (GEE) with arbitrary data structure, that is, data can be random or deterministic, depen- dent or ...These results are parallel to those obtained in linear regression model in ...

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Generalized Estimating Equations: an overview and application in IndiMed study

Generalized Estimating Equations: an overview and application in IndiMed study

... analysis results indicate that control group (all subjects) and intervention group with at least one high disease risk do not have statistically different mean blood ...

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