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[PDF] Top 20 Gene analysis for longitudinal family data using random effects models

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Gene analysis for longitudinal family data using random effects models

Gene analysis for longitudinal family data using random effects models

... GAW18 data, we extend our 2-step method to the combined familial and longitudinal ...a gene. Using the 200 simulated data sets, we assess the power of our approach for genes with ... See full document

5

Mixed effects models for joint modeling of sequence data in longitudinal studies

Mixed effects models for joint modeling of sequence data in longitudinal studies

... for longitudinal changes of systolic blood pressure (SBP) over time that can estimate the joint effect of multiple sequence variants on SBP after accounting for familial correlation and the time dependencies ... See full document

5

Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model

Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model

... binomial data can, exhibiting extra variability beyond the binomial model, leading to the so-called overdispersion in the latter, in addition to the correlation emanating from the repeated measures ...mixed ... See full document

13

Mixed effects models for GAW18 longitudinal blood pressure data

Mixed effects models for GAW18 longitudinal blood pressure data

... GAW18 data included 849 individuals with both phenotype and imputed genotype data from 20 extended ...Our analysis was restricted to the 139 unrelated ...WGS data provided by the GAW18 ... See full document

5

Design effects in the analysis of longitudinal survey data

Design effects in the analysis of longitudinal survey data

... design effects greater than ...design effects from clustering tend to decrease the more complex the ...design effects for regression coefficients are often found to be less than design effects ... See full document

23

The mixed model for the analysis of a repeated‐measurement multivariate count data

The mixed model for the analysis of a repeated‐measurement multivariate count data

... and random effects independent of the used random effect structure to model the correlation between subjects across ...and random effect components are relatively high when the sample size is ... See full document

21

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

... these models with regression results using a part of a data set from a famous study on investment theory by Yehuda Grunfeld (1958), who tried to analyse the effect of the (previous period) real value ... See full document

57

Does the drug sensitivity of malaria parasites depend on their virulence?

Does the drug sensitivity of malaria parasites depend on their virulence?

... performed using general linear models in SPSS version ...Full models for analysis of parasite data included the main effects of clone (CW avir or CW vir ; virulence ... See full document

11

Modelling and estimation for the genetic analysis of longitudinal data

Modelling and estimation for the genetic analysis of longitudinal data

... of data available have gradually increased ...environmental effects into analyses that include several traits ,taking account of all genetic relationships and realistic environmental models ...for ... See full document

5

Assessment of fenofibrate methylation interactions on triglycerides using longitudinal family data

Assessment of fenofibrate methylation interactions on triglycerides using longitudinal family data

... treatment effects to influence TGs, we modeled TGs as a function of percent methylation, fenofibrate treatment, and their interactions at individual CpGs using the generalized es- timating equation (GEE) ... See full document

6

Challenges in modelling the random structure correctly in growth mixture models and the impact this has on model mixtures

Challenges in modelling the random structure correctly in growth mixture models and the impact this has on model mixtures

... the family of LGCMs, which capture no in fl uence of the lagged growth variable on itself, and the AR models, which do not allow for individual random effects, is the more comprehensive ... See full document

14

Estimating correlation between multivariate longitudinal data in the presence of heterogeneity

Estimating correlation between multivariate longitudinal data in the presence of heterogeneity

... mixed models for a wide range of research fields [2, ...dom effects, and assumes that the outcome variables are mutually independent given random ...of longitudinal outcomes and analyzed ... See full document

11

An Analysis of Regional Income Variation in the United States: 1969 2013

An Analysis of Regional Income Variation in the United States: 1969 2013

... BEA data and Department of Labor BLS data for 1969 to 2013 are ...previous analysis of ...and using random effects models for panel data ... See full document

17

Application of three level linear mixed effects model incorporating gene age interactions for association analysis of longitudinal family data

Application of three level linear mixed effects model incorporating gene age interactions for association analysis of longitudinal family data

... with longitudinal data. In genetic association analysis, mixed- effects models were used to account for the familial correlation among phenotypes collected from the same pedigree ... See full document

7

Pathway analysis for family data using nested random effects models

Pathway analysis for family data using nested random effects models

... our models (3) and (4). Thus we added an extra random effect to these models, but the obtained type I error did not ...by using simulations under the null hypothesis, the type I error of the ... See full document

5

Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models

Efficient two-step multivariate random effects meta-analysis of individual participant data for longitudinal clinical trials using mixed effects models

... meta-analyses using the mixed effects models that adequately address the between-studies heterogen- eity using random effects ...implemented using standard statistical ... See full document

12

Automatic Variable Selection for Single Index Random Effects Models with Longitudinal Data

Automatic Variable Selection for Single Index Random Effects Models with Longitudinal Data

... single-index models are popular and efficient modeling tools in multivariate nonparametric regres- sion, the single-index models have recently received much attention, including those from Carroll et ... See full document

8

Volume 36 - Article 11 | Pages 339–370

Volume 36 - Article 11 | Pages 339–370

... studies using micro-level data find that increased involvement of fathers in childcare and housework increases the likelihood of a second ...dual-earner/dual-carer family model, with Hungary, a ... See full document

34

Early maternal depressive symptoms and child growth trajectories: a longitudinal analysis of a nationally representative US birth cohort

Early maternal depressive symptoms and child growth trajectories: a longitudinal analysis of a nationally representative US birth cohort

... missing data were more likely to be racial and ethnic minorities and to have poor health ...missing data had lower incomes, were less likely to own their homes, to be working, and to have food secure house- ... See full document

8

Adaptive regression modeling of biomarkers of potential harm in a population of U.S. adult cigarette smokers and nonsmokers

Adaptive regression modeling of biomarkers of potential harm in a population of U.S. adult cigarette smokers and nonsmokers

... the Random Forests procedure, the MARS algorithm [23] was used to find interpretable models for each BOPH (DEH11, EPI08, HDL, WBC) in each study population (all subjects, non-smokers, ...important ... See full document

10

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