'Fixed effects' diaporamas de présentation

The statistical analysis of fMRI data

The statistical analysis of fMRI data. Keith Worsley 12 , Chuanhong Liao 1 , John Aston 123 , Jean-Baptiste Poline 4 , Gary Duncan 5 , Vali Petre 2 , Frank Morales 6 , Alan Evans 2 , Tom Nichols 7 , Satoru Hayasaki 8 , Jonathan Taylor 9

782 views • 62 slides

751 views • 51 slides

Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. 0 Introduction 1 Methodology 2 Binary Choice 3 Panel Data 4 Bivariate Probit 5 Ordered Choice 6 Count Data 7 Multinomial Choice 8 Nested Logit 9 Heterogeneity 10 Latent Class 11 Mixed Logit

630 views • 46 slides

Basic statistical methods

1.19k views • 44 slides

Statistical Analysis

Statistical Analysis. Professor Lynne Stokes Department of Statistical Science Lecture 5 Complete Factorial Experiments, Completely Randomized Designs, Main Effects & Interactions. Complete Factorial Experiments. All combinations of the factor levels appear in the design at least once.

473 views • 44 slides

Analysis of Repeated Measures Will G Hopkins, Auckland University of Technology, Auckland, NZ

Analysis of Repeated Measures Will G Hopkins, Auckland University of Technology, Auckland, NZ. A tutorial lecture presented at the 2003 annual meeting of the American College of Sports Medicine.

690 views • 43 slides

Modeling Utilities over Time

Modeling Utilities over Time. Vilija R. Joyce, MS January 11, 2012. Objectives. To describe how to analyze health-related quality of life (HRQoL) data with multiple observations over time. Outline. Introduction to types of longitudinal studies and models

533 views • 42 slides

Modelling the Linkages Between Cannabis and Psychotic Symptoms

Modelling the Linkages Between Cannabis and Psychotic Symptoms. Christchurch Health & Development Study Christchurch School of Medicine & Health Sciences. D Fergusson L J Horwood E M Ridder J M Boden. INTRODUCTION.

560 views • 42 slides

Mixed effects and Group Modeling for fMRI data

Mixed effects and Group Modeling for fMRI data. Thomas Nichols, Ph.D. Department of Statistics Warwick Manufacturing Group University of Warwick Zurich SPM Course February 17, 2011. Outline. Mixed effects motivation Evaluating mixed effects methods Two methods

691 views • 40 slides

474 views • 39 slides

Empirical Models to deal with Unobserved Heterogeneity

751 views • 35 slides

Systematic reviews of animal studies

Systematic reviews of animal studies. Malcolm Macleod. Why do systematic reviews of animal studies?. To summarise existing data To help design clinical trials To understand where evidence is lacking To understand the limitations of animal models. Basic requirements.

294 views • 28 slides

Biotic and Abiotic Drivers of Seedling Survival in a Hurricane-Impacted Forest

355 views • 27 slides

Data organization

Data organization. Regression Models Time series Cross-sectional Panel Multi-dimensional panel. Errors in Uni -dimensional Data In standard time series or cross-sectional data sets, we must adjust for non-independent errors. Serial correlation Errors correlated across time

418 views • 26 slides

435 views • 26 slides

PBG 650 Advanced Plant Breeding

745 views • 22 slides

Focusing on the variation at the higher level: Methods in the Glance paper

278 views • 19 slides

Panel Data Analysis in STATA Binam Ghimire

Panel Data Analysis in STATA Binam Ghimire. Learning Objectives. Importing file into STATA Running panel data regression Run fixed, random effect test and use of Hausman to test which (among fixed and random) is better. Importing Data from Excel into Stata :Theory.

351 views • 18 slides

Panel Data Analysis Using GAUSS

Panel Data Analysis Using GAUSS. 4 Kuan-Pin Lin Portland State University. Panel Data Analysis Hypothesis Testing. Panel Data Model Specification Pool or Not To Pool Random Effects vs. Fixed Effects Heterscedasticity Time Serial Correlation Spatial Correlation.

384 views • 15 slides

JUNE 2011

JUNE 2011. Factor Modelling of UK Unlisted Funds: Panel Data Analysis of Performance Drivers Kieran Farrelly CBRE Investors & Henley Business School, University of Reading & George Matysiak Henley Business School, University of Reading. Table of Contents. Research questions and objectives

258 views • 12 slides