'Null model' diaporamas de présentation

Hardy Weinberg Equilibrium

1.65k views • 69 slides

Mosteller & Tukey (1977). Data Analysis and Regression.

657 views • 42 slides

Linear Modelling III

Linear Modelling III. Richard Mott Wellcome Trust Centre for Human Genetics. Synopsis. Logistic Regression Mixed Models. Logistic Regression and Statistical Genetics. Applicable to Association Studies Data: Binary outcomes ( eg disease status)

595 views • 40 slides

Using multi-level modelling to understand the determinants of happiness

Using multi-level modelling to understand the determinants of happiness. Dimitris Ballas Social and Spatial Inequalities Group, Department of Geography, University of Sheffield http://sasi.group.shef.ac.uk/. RES-163-27-1013 . Outline. Measuring happiness and well-being

599 views • 37 slides

Nick Gotelli University of Vermont USA

Detecting Temporal Trends In Species Assemblages With Randomization Procedures And Hierarchical Models . Nick Gotelli University of Vermont USA. Collaborators!. Robert Dorazio University of Florida USA. Gary Grossman University of Georgia USA. Aaron Ellison Harvard Forest USA.

406 views • 34 slides

DNA repair SNPs Associated with Breast Cancer

DNA repair SNPs Associated with Breast Cancer. By: Brittany Duncan Mentors: Janet Sinsheimer PhD (UCLA) Mary Sehl M.D.(UCLA). What We Aim to Do. To ultimately determine: What SNP and Environmental factors contribute to breast cancer

411 views • 30 slides

Regulatory Motif Finding (II)

517 views • 30 slides

The Prediction of Onset and Duration of Freezing Rain in the Saint-Lawrence River Valley

Sophie Splawinski 1 Honors BSc. Atmospheric and Oceanic Sciences MSc. Atmospheric Sciences. Prof. John R. Gyakum 1 Dr. Eyad H. Atallah 1 Benjamin Borgo 2 1 McGill University, Montreal, Quebec 2 Washington University, St-Louis, Missouri.

456 views • 30 slides

Evaluating Multi-Item Scales Using Item-Scale Correlations and Confirmatory Factor Analysis

Evaluating Multi-Item Scales Using Item-Scale Correlations and Confirmatory Factor Analysis. Ron D. Hays, Ph.D . ( drhays@ucla.edu ) RCMAR Methods Seminar June 18, 2012, 3-4pm Drew Cobb Room 131/Broxton 2 nd Floor Conference Room http://gim.med.ucla.edu/FacultyPages/Hays/.

496 views • 30 slides

Data Handling & Analysis Polynomials and model fit

Data Handling & Analysis Polynomials and model fit. Andrew Jackson a.jackson@tcd.ie. Linear type data. How are two measures related?. What do we do about curvature?. Data are the number of species (Y) recorded per time spent looking for them (X)

270 views • 20 slides

Hypothesis Testing

327 views • 19 slides

Chapter 20

Chapter 20. Testing Hypotheses About Proportions . Example. Census data for a certain county show that 19% of the adult residents are Hispanics. Suppose 72 people are called for jury duty and only 9 of them are Hispanic.

365 views • 18 slides

Neutral Models

354 views • 17 slides

3nd meeting: Multilevel modeling: introducing level 1 (individual) and level 2 (contextual) variables + interactions Su

3nd meeting: Multilevel modeling: introducing level 1 (individual) and level 2 (contextual) variables + interactions Subjects for today: Intra Class Correlation once more Including individual (level 1) variables Including contextual (level 2) variables (cross level) interactions.

322 views • 16 slides

Spatial distribution of magmatic activity

Structural control of igneous complexes and kimberlites : a new statistical method Dazheng Zhang and Lutz, T., 1989. . Spatial distribution of magmatic activity. transport through the lithosphere mechanical properties of the lithosphere zones of weakness

204 views • 14 slides

Week 6: Model selection

Week 6: Model selection. Overview Questions from last week Model selection in multivariable analysis -bivariate significance -interaction and confounding Discussion of the 3 articles Data analysis discussion. Univariate, bivariate, and multivariate analysis: a review.

369 views • 14 slides

Data Handling & Analysis Allometry & Log-log Regression

235 views • 13 slides

Modelling in Ecology

Modelling in Ecology. Predictions in ecology rely on models. . Our program. What is a model? Matrix algebra Linear regression models More on regression Variance analysis Model selection techniques Classification techniques Eigenvector techniques More on eigenvectors

253 views • 13 slides

Lecture 11

Lecture 11. Multivariate Regression A Case Study . Other topics: Multicollinearity. Assuming that all the regression assumptions hold how good are our estimators? The answer is pretty good if the multicollinearity effect is not present. So what is multicollinearity ?

241 views • 11 slides

Multilevel Modeling

294 views • 11 slides