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[PDF] Top 20 Analysis of alternative models treating herd × year effects as fixed or random

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Analysis of alternative models treating herd × year effects as fixed or random

Analysis of alternative models treating herd × year effects as fixed or random

... BLUP models was compared using the method of cross valida- tion, similar to that described by Frey et ...all herd × year classes 33 records had to be deleted from the origi- nal station test data (6 ... See full document

8

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 fixed effects model of panel data techniques originated from the least squares methods in the astronomical work of Gauss (1809) and Legendre (1805) and the random effects or ... See full document

57

An encouraging assessment of methods to inform priorities for updating systematic reviews

An encouraging assessment of methods to inform priorities for updating systematic reviews

... Group Database, 12 met our inclusion criteria. The meta-analyses used a fixed effect model in 10 of these reviews and a random effects model was used in the remaining two. In total, 55 reviews were ... See full document

29

The relationship between working conditions and self rated health among medical doctors: evidence from seven waves of the Medicine In Australia Balancing Employment and Life (Mabel) survey

The relationship between working conditions and self rated health among medical doctors: evidence from seven waves of the Medicine In Australia Balancing Employment and Life (Mabel) survey

... The fixed effects models for male doctors showed that increasing job demands (OR ...The random effects models also revealed poor rewards at work, restrictions to work because of ... See full document

10

Linguistic pitch analysis using functional principal component mixed effect models

Linguistic pitch analysis using functional principal component mixed effect models

... both fixed and random covariates associated with the model, the analysis will be achieved through the combination of linear mixed effects (LME) models and functional principal component ... See full document

30

The Effects of Gender on Attitudes of Preservice Teachers towards the Teaching Profession: A Meta analysis Study

The Effects of Gender on Attitudes of Preservice Teachers towards the Teaching Profession: A Meta analysis Study

... A fixed effect model accepts that sizes of the study fields are the same, and, therefore deviation equals to ...the fixed effect model are not actualized, a random effects model is ...a ... See full document

12

Does Board Size Spur Bank Performance in Nigeria? Evidence from Panel Data Analysis

Does Board Size Spur Bank Performance in Nigeria? Evidence from Panel Data Analysis

... the random and fixed effects models also indicates that smaller number of non-executive board members improve the performance of deposit money banks in ... See full document

11

Reproducibility of Immunological Tests Used To Assess Multiple Chemical Sensitivity Syndrome

Reproducibility of Immunological Tests Used To Assess Multiple Chemical Sensitivity Syndrome

... (potential) effects on T-cell measures were tested through nested random/fixed effects analysis of variance models: (i) interlaboratory variation, (ii) interday variation ...of ... See full document

8

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... cluster analysis was conducted (Kindt & Coe ...effect models (LMEMs) were ...as fixed effects (covariates) whereas data for generalist species and total richness was treated as ... See full document

16

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The

... A fixed effects model is a statistical model that represents the observed quantities in terms of explanatory variables that are treated as if the quantities were ...to random effects ... See full document

8

Fixed and random effects models: making an informed choice

Fixed and random effects models: making an informed choice

... OLS models can be understood as constrained and more limited versions of this model; indeed, REWB is our favoured model because of its encompassing ...RE models, and some of the advantages of the RE ...of ... See full document

25

Performance of methods for meta analysis of diagnostic test accuracy with few studies or sparse data

Performance of methods for meta analysis of diagnostic test accuracy with few studies or sparse data

... Hierarchical models such as the bivariate and hierarchical summary receiver operating characteristic (HSROC) models are recommended for meta-analysis of test accuracy ...These models are ... See full document

19

Quantitative Trait Loci Mapping in F2 Crosses Between Outbred Lines

Quantitative Trait Loci Mapping in F2 Crosses Between Outbred Lines

... the random model. diallelic with the alternative alleles fixed in each paren- The random model strategy has been put forward by tal ...the analysis of outbred animals highly inbred ... See full document

15

Genetic analysis of longevity data in the UK: present practice and considerations for the future

Genetic analysis of longevity data in the UK: present practice and considerations for the future

... for herd life in the UK is reviewed, and alternative methods to analyse (discrete) longevity data ...for herd life. Preliminary analyses using proportional hazard models suggest that ... See full document

7

Factors Affecting the ProfitabilitFactors Affecting the Profitability of Indonesian Real Estate Publicly-listed Companiesy of Indonesian Real Estate Publicly-listed Companies

Factors Affecting the ProfitabilitFactors Affecting the Profitability of Indonesian Real Estate Publicly-listed Companiesy of Indonesian Real Estate Publicly-listed Companies

... FE models show that the variable is negatively related to the profitability of large Indonesian real estate companies, which means that high tangible assets lead to declining ...the alternative hypothesis ... See full document

33

Estimating Semiparametric Panel Data Models by Marginal Integration

Estimating Semiparametric Panel Data Models by Marginal Integration

... vidual effects using first differencing transformation and estimate the unknown function by marginal ...data models with both individual and time ...both random effects and fixed ... See full document

37

Screening for data clustering in multicenter studies: the residual intraclass correlation

Screening for data clustering in multicenter studies: the residual intraclass correlation

... during analysis because in 10 of the hospi- tals data was collected by only 1 physician, whereas for the other 9 hospitals there was 1 principal investigator collecting the vast majority of the ...mixed ... See full document

11

Pathway analysis for family data using nested random effects models

Pathway analysis for family data using nested random effects models

... Testing for the joint effect of single-nucleotide polymorph- isms (SNPs) located in a set of genes is a popular alterna- tive to single-marker tests [1]. Typically these SNPs have small effect sizes, and thus separate ... See full document

5

Gene analysis for longitudinal family data using random effects models

Gene analysis for longitudinal family data using random effects models

... genetic effects, we also provide each gene with func- tional loci (Supplemental Table 1 of GAW18 answers) the percentage of data sets with a p-value smaller than ...the effects are oppo- site, the sum score ... See full document

5

Education and Economic Growth in India

Education and Economic Growth in India

... individual effects are not correlated with the explanatory variables, against the null hypothesis of correlation between unobservable individual effects and the explanatory ...the alternative ... See full document

10

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