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Between effects (BE) and random effects (RE) results

Peer Effects with Random Assignment: Results for Dartmouth Roommates

Peer Effects with Random Assignment: Results for Dartmouth Roommates

... There are several difficulties inherent with this approach as detailed in Manski (1993). First, individuals generally self select into neighborhoods, groups, or roommate pairs. This makes it difficult to separate out the ...

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The Choice Between Fixed and Random Effects Models: Some Considerations for Educational Research

The Choice Between Fixed and Random Effects Models: Some Considerations for Educational Research

... the random effects approach ...use random effects because: a) school (level 2) characteristics can be modelled – allowing questions concerning differential school effectiveness for different ...

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Distribution of the phenotypic effects of random homologous recombination between two virus species

Distribution of the phenotypic effects of random homologous recombination between two virus species

... phenotypic effects caused by genome-wide random homologous recombination has never been formally ...recombinants between two viral species of the genus Begomovirus (Family Geminiviridae) exhibiting ...

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The choice between fixed and random effects models: some considerations for educational research

The choice between fixed and random effects models: some considerations for educational research

... the random effects approach ...use random effects because: a) school (level 2) characteristics can be modelled – allowing questions concerning differential school effectiveness for different ...

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Random Effects Models for Longitudinal Data

Random Effects Models for Longitudinal Data

... LOCF results for earlier time points and close to CC for later time ...holding between CC and observed populations near the end of the ...the results between GEE and WGEE differ quite a ...the ...

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Subjective well-being and the family: Results from an ordered probit model with multiple random effects

Subjective well-being and the family: Results from an ordered probit model with multiple random effects

... e ijt ¼ a j þ u ij þ v ijt : ð2Þ a j is a family specific random effect that does not vary across persons within the family or over time. u ij is an individual specific random effect that does not vary over ...

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Subjective Well-Being and the Family: Results from an Ordered Probit Model with Multiple Random Effects

Subjective Well-Being and the Family: Results from an Ordered Probit Model with Multiple Random Effects

... independence between parent and child well-being in bivariate cross-tabulations, one can for example compare the SWB response of fathers and mothers each with those of a randomly selected ...than between ...

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Random effects and Spatial Autocorrelations with Equal Weights

Random effects and Spatial Autocorrelations with Equal Weights

... and random e¤ects where the weight matrix is normalized and has equal ...no random e¤ects, we obtain two su¢ cient conditions where GLS on this model is equivalent to ...these results, for the equal ...

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Nonlinear Income Effects in Random Utility Models

Nonlinear Income Effects in Random Utility Models

... income effects, they do not provide tight bounds on the welfare estimates, even when one ignores the uncertainty of the underlying parameter ...the results of this one data ...gap between the ...

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Sensitivity of GLS estimators in random effects models

Sensitivity of GLS estimators in random effects models

... and between residuals under normality proves the opposite E (ˆθ ANOVA ) > θ 0 ...exact results under normality (the formulas for the exact moments of a ratio of quadratic forms can be found in [ 11 ...

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Analyzing the dynamics of Ebola transmission with random effects

Analyzing the dynamics of Ebola transmission with random effects

... The random model was also simulated to analyze the long term random dynamics of the ...the results of the random model matched the results of the deterministic ...in between ...

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Statistical inference in mixture models with random effects

Statistical inference in mixture models with random effects

... vectors results in significant overlapping of the tails of the ...separation between the mean vectors if the covariance matrices all have small ...ship between the covariate data {X i } i∈I N , {Z} ...

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Power analysis for random-effects meta-analysis

Power analysis for random-effects meta-analysis

... of random-effects meta-analysis will find the comparison of these two powers ...necessarily results in an increase in power when the data are correctly assumed to be ...the ...

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Bivariate random-effects meta-analysis and the estimation of between-study correlation

Bivariate random-effects meta-analysis and the estimation of between-study correlation

... the between-study covariance matrix on the boundary of its parameter ...biased between- study variance estimates, which are inflated to compensate for the restriction on B ...

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THE EFFECT OF SOME ESTIMATORS OF BETWEEN-STUDY VARIANCE ON RANDOM-EFFECTS META-ANALYSIS

THE EFFECT OF SOME ESTIMATORS OF BETWEEN-STUDY VARIANCE ON RANDOM-EFFECTS META-ANALYSIS

... Meta-analysis; random-effects model; between-study variance; and coverage ...combine results from many studies and accurately estimate the effect of interest (Hedges, 1978, Rosenthal, ...

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Housing Demand with Random Group Effects

Housing Demand with Random Group Effects

... No. of Observations 10,051 2,774 Notes: (1) Standard errors are in parentheses. (2) ** indicates that the coefficient is statistically significant at the 5% significance level. In Table 3, most of the coefficients are ...

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Panel Data Analysis with Stata Part 1 Fixed Effects and Random Effects Models

Panel Data Analysis with Stata Part 1 Fixed Effects and Random Effects Models

... the between estimator equation and an overall equation with a constant ...the results; Stata uses u_i for our μ i ; the F-test rejects the null of zero company ...Hence, between the pooled regression ...

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Correlated random effects models for clustered survival data

Correlated random effects models for clustered survival data

... We consider the general class of semiparametric transformation models, allowing for competing risks, with clustering between individuals and causes induced by random eects. Consistency and asymptotic ...

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Prediction of random effects and effects of misspecification of their distribution

Prediction of random effects and effects of misspecification of their distribution

... The xtmixed, xtmelogit, xt-etc. and gllamm commands fit the models using regular or restricted maximum likelihood. So they use a parametric assumption for both the distribution of the outcome and the distribution of the ...

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Random Effects Models for Longitudinal Data

Random Effects Models for Longitudinal Data

... therapeutic results obtained early on with zi- dovudine, and the pressure for an accelerated evaluation of new therapies, have all led to the use of CD4 blood count and later of viral load as endpoints that ...

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