'Mixed models' presentation slideshows

Ctd . Local Linear Models, LDA ( cf. PCA,FA) , Mixed Models: Optimizing, Iterating

768 views • 68 slides

Gene mapping in mice

Gene mapping in mice. Karl W Broman Department of Biostatistics Johns Hopkins University http://www.biostat.jhsph.edu/~kbroman. Goal. Identify genes that contribute to common human diseases. Inbred mice. Advantages of the mouse. Small and cheap Inbred lines Large, controlled crosses

654 views • 45 slides

Introduction to Multilevel Analysis

Introduction to Multilevel Analysis. Presented by Vijay Pillai. A GENERAL INTRODUCTION In Hierarchical data one unit is nested with in the other unit. These units are also called levels Level -1 represents the smallest unit of measurement Eg.: students

607 views • 44 slides

Introduction to mixed models

650 views • 44 slides

PROC GLIMMIX: AN OVERVIEW

PROC GLIMMIX: AN OVERVIEW . By William E. Jackman. PROC GLIMMIX: AN OVERVIEW. A new SAS/STAT Product Experimental in SAS 9.1 Production in SAS 9.2. %GLIMMIX macro Combines and extends statistical features found in other SAS procedures

554 views • 36 slides

WHY ARE YOU USING THAT REGRESSION?

WHY ARE YOU USING THAT REGRESSION?. Western Mensurationist Meeting Jim Flewelling July, 2003. FOCUS. POPULATIONS VARIANCE IN RELATIONSHIPS OBJECTIVES USE OF REGRESSION TECHNIQUES are SECONDARY. TWO WORLDS. SURVEY SAMPLING Fixed Populations Objective refers to Population

524 views • 32 slides

Updates on Regulatory Requirements for Missing Data

460 views • 30 slides

Tutorials on Data Management

Tutorials on Data Management. Lesson 12: Analysis and Workflows. CC image by Marc_Smith on Flickr. Topics. Review of typical data analyses Reproducibility & provenance Workflows in general Computer-based scientific workflows (SWF) Benefits of SWF Examples of SWF and associated tools.

428 views • 29 slides

Biostatistics Case Studies 2008

Biostatistics Case Studies 2008. Session 5: Choices for Longitudinal Data Analysis. Peter D. Christenson Biostatistician http://gcrc.labiomed.org/biostat. Case Study. Study Goal - General. Specific Primary Aim.

417 views • 28 slides

LME4

LME4. Andrea Friese, Silvia Artuso , Danai Laina. What we are going to do. introduction of the package linear mixed models: introduction to example fixed and random effects crossed and nested random effects random slopes and random intercepts models

295 views • 27 slides

Handling of Missing Data. A regulatory view

Handling of Missing Data. A regulatory view. Ferran Torres, MD, PhD IDIBAPS. Hospital Clinic Barcelona Autonomous University of Barcelona (UAB). Documentation. Power Point presentation Direct links to guidelines List of selected relevant references. http://ferran.torres.name/edu/eacpt.

253 views • 25 slides

Statistical Bioinformatics

Statistical Bioinformatics. QTL mapping Analysis of DNA sequence alignments Postgenomic data integration Systems biology. Statistical Bioinformatics. QTL mapping Analysis of DNA sequence alignments Postgenomic data integration Systems biology. Mixed models for QTL by environment analysis.

345 views • 24 slides

Report to Users

224 views • 22 slides

Measuring the Effect of Classification Factor Changes in Complex Rating Plans

Dave Schofield. Measuring the Effect of Classification Factor Changes in Complex Rating Plans. Introduction. Outline a method for measuring the effect of classification factor changes on the overall rate; or Partitioning your overall change into its component parts. Topics of Discussion.

333 views • 21 slides

281 views • 16 slides

Stata 9, Summing up

Stata 9, Summing up. Why Stata. Pro Aimed at epidemiology Many methods, growing Graphics Structured, Programable Comming soon to a course near you Con Memory>file size Copy table. Use. Import data DBMS-Copy Do files Highlight commands, Ctrl-D Full syntax

161 views • 16 slides

Stata 9, Summing up

Stata 9, Summing up. Why Stata. Pro Aimed at epidemiology Many methods, growing Graphics Structured, Programable Comming soon to a course near you Con Memory>file size Copy table. Use. Import data DBMS-Copy Do files Highlight commands, Ctrl-D Full syntax

165 views • 16 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

Problem

Problem. What if we want to model: Changes in a group over time Group by time slices (month, year) Herd behavior of multiple species in the same area Group by species Look at student performance between classes, schools, districts? Multiple special scales. Problem.

301 views • 11 slides

Introduction

History of Childhood Abuse and Recovery of Neurocognition during Inpatient Psychiatric Rehabilitation: 18-Month Longitudinal Study Kee-Hong Choi 1,2 , L. Felice Reddy 1 , Nancy Liu 1 , & William D. Spaulding 1 University of Nebraska-Lincoln 1 , University of Rochester Medical Center 2.

229 views • 2 slides