'Variance components' diaporamas de présentation

Genetics for Epidemiologists Lecture 5: Analysis of Genetic Association Studies

Genetics for Epidemiologists Lecture 5: Analysis of Genetic Association Studies. National Human Genome Research Institute. U.S. Department of Health and Human Services National Institutes of Health National Human Genome Research Institute. National Institutes of Health.

794 views • 70 slides

Alternate Approaches to Modeling MTMM Data in Organizational Research

753 views • 63 slides

Statistical Analysis

Statistical Analysis. Professor Lynne Stokes Department of Statistical Science Lecture #19 Analysis of Designs with Random Factor Levels. Fermentation Process Experiment MGH Ex 10.17. Fermentation Process Experiment. Proc GLM data =Ferment; class batch process;

597 views • 45 slides

Hierarchical Models and Variance Components

Hierarchical Models and Variance Components. Will Penny. Wellcome Department of Imaging Neuroscience, University College London, UK. SPM Course, London, May 2003. Outline. Random Effects Analysis Summary statistic approach (t-tests @ 2 nd level) General Framework

512 views • 39 slides

Longitudinal Modeling

Longitudinal Modeling. Nathan LongitudinalTwinAnalysis_MatrixRawCon.R GenEpiHelperFunctions.R Jepq_con.txt. Why run longitudinal models?. Estimate time-dependent genetic and environmental effects - changes in the magnitude of genetic & environmental influence across time

496 views • 39 slides

Longitudinal Modeling

Longitudinal Modeling. Nathan, Lindon & Mike LongitudinalTwinAnalysis_MatrixRawCon.R GenEpiHelperFunctions.R jepq.txt. Why run longitudinal models?. Estimate time-dependent genetic and environmental effects - changes in the magnitude of genetic & environmental influence across time

489 views • 39 slides

Longitudinal Modeling

Longitudinal Modeling. Nathan & Lindon Template_Developmental_Twin_Continuous_Matrix.R Template_Developmental_Twin_Ordinal_Matrix.R jepq.txt GenEpiHelperFunctions.R. Why run longitudinal models?. Map changes in the magnitude of genetic & environmental influence across time

468 views • 37 slides

Regression-based linkage analysis

405 views • 33 slides

Implications of Model Specification and Temporal Revisit Designs on Trend Detection

Implications of Model Specification and Temporal Revisit Designs on Trend Detection. Leigh Ann Starcevich (OSU) Kathryn M. Irvine (USGS) Andrea M. Heard (UCR, NPS). Outline. Question of interest Case study Trend models Simulation results. Question of interest.

407 views • 31 slides

Group analyses of fMRI data

Group analyses of fMRI data. Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

416 views • 30 slides

Group analyses of fMRI data

Group analyses of fMRI data. Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

447 views • 30 slides

When are BLUPs Bad

When are BLUPs Bad. Ed Stanek UMass- Amherst Julio Singer USP- Brazil George Reed UMass- Worc. Wenjun Li UMass- Worc. Outline. Description of the Problem Examples Basic Models & Ideas Approaches Results Conclusions/Further Research.

360 views • 25 slides

Combination of GRACE and GOCE in situ data for high resolution regional gravity field modeling

Combination of GRACE and GOCE in situ data for high resolution regional gravity field modeling. M. Schmeer 1 , C. Gruber 1 , M. Schmidt 2 , F. Flechtner 1 1 German Research Centre for Geosciences, Helmoltz Centre Potsdam (GFZ), Germany 2 German Geodetic Research Institut (DGFI), Germnay

264 views • 14 slides

Resolving Inference Issues in Mixed Models by Sam Weerahandi

Resolving Inference Issues in Mixed Models by Sam Weerahandi. April 2013. Outline. Why Mixed Models are Important Mixed Models: An Overview Issues with MLE based Inference Introduction to Generalized Inference Application: BLUP in Mixed Models Performance Comparison.

318 views • 12 slides

Global versus Specific Questions for the Consumer Expenditure Survey

Global versus Specific Questions for the Consumer Expenditure Survey. Andy Peytchev Consumer Expenditure Surveys Redesign Workshop December 8-9, 2010. Current Specific Questions - Clothing.

376 views • 11 slides

Abney Associates - Research Description

http://genes.uchicago.edu/contents/faculty/abney-mark.html

185 views • 7 slides

Abney Associates - Research Description

http://genes.uchicago.edu/contents/faculty/abney-mark.html

70 views • 7 slides

Good Firms vs Bad Firm

Good Firms vs Bad Firm

147 views • 6 slides

Linkage mapping by variance components analysis

Linkage mapping by variance components analysis. Uppsala 5-7 April 2011 Dario Beraldi. Variance components mapping. A strategy to map QTLs in general pedigrees by testing the significance of the variance explained by specific chromosomal regions. What is needed (from the field & lab).

203 views • 5 slides

Generalizability and Dependability of Direct Behavior Ratings (DBRs)

Generalizability and Dependability of Direct Behavior Ratings (DBRs) to Assess Social Behavior of Preschoolers. Method.

114 views • 1 slides