'Random effects' presentation slideshows

Missing Data Measurement Error

Missing Data Measurement Error. Part 13. PROJECTS ARE DUE. By midnight, Friday, May 19 th Electronic submission only to tl ouis@jhsph.edu Please name the file: [myname]-project.[filetype] or [name1_name2]-project.[filetype]. Overview. Missing data are inevitable

920 views • 70 slides

Lecture 9: Marginal Logistic Regression Model and GEE (Chapter 8)

Lecture 9: Marginal Logistic Regression Model and GEE (Chapter 8). Marginal Logistic Regression Model and GEE. Marginal models are suitable to estimate population average parameters. For example, in the Indonesian study, a marginal model can be used to address questions such as:

1.29k views • 55 slides

David Bell University of Stirling

Panel Models: Theoretical Insights. David Bell University of Stirling. Lecture Structure. Rationale for Panel Models Construction of one-way and two-way error components models Hypothesis tests Extensions. Rationale. Panel Models.

658 views • 51 slides

Clinical Trial Overview

Clinical Trial Overview. The Role of Statistics in Clinical Trials? (1). Clinical research involves investigating proposed medical treatments, assessing benefits of competing therapies, and establishing optimal treatment combinations.

1.33k views • 48 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.

691 views • 43 slides

ESTIMATING HOSPITAL QUALITY OF CARE: ISSUES & APPLICATIONS

ESTIMATING HOSPITAL QUALITY OF CARE: ISSUES & APPLICATIONS. Sharon-Lise T. Normand Health Care Policy, Harvard Medical School & Biostatistics, Harvard School of Public Health Quantify and compare the attributes of health care delivery and subsequent outcomes of health care. Acknowledgements.

1.11k views • 36 slides

Design & Analysis of Split-Plot Experiments (Univariate Analysis)

651 views • 32 slides

Handling Large Numbers of Entries

Handling Large Numbers of Entries. Stratification of materials group entries on the basis of certain traits - maturity, market class, color, etc. then analyze in separate trials

845 views • 30 slides

State-Space Models for Biological Monitoring Data

State-Space Models for Biological Monitoring Data. Devin S. Johnson University of Alaska Fairbanks and Jennifer A. Hoeting Colorado State University. # CR - 829095.

439 views • 29 slides

Random effects as latent variables: SEM for repeated measures data

Random effects as latent variables: SEM for repeated measures data. Dr Patrick Sturgis University of Surrey. Overview. Random effects (multi-level) models for repeated measures data. Random effects as latent variables. Specifying time in LGC models. Growth parameters. Linear Growth.

538 views • 29 slides

How to do Meta Analysis

Arindam Basu Associate Director, Fogarty International Training Program Kolkata, India February, 2005 arin.basu@gmail.com phone: 919830153666. How to do Meta Analysis. What is meta analysis?.

1.71k views • 26 slides

Latent Growth Curve Models

Latent Growth Curve Models. Patrick Sturgis, Department of Sociology, University of Surrey. Overview. Random effects as latent variables Growth parameters Specifying time in LGC models Linear Growth Non-linear growth Explaining Growth Fixed and time-varying predictors

1k views • 26 slides

The Power of Pairing in Cluster Randomized Block Designs: A Monte Carlo Simulation

The Power of Pairing in Cluster Randomized Block Designs: A Monte Carlo Simulation. Nianbo Dong & Mark Lipsey 03/04/2010. Power Analysis for Group-Randomized Experiments. Two Big Design Families (Kirk, 1995) 1) Hierarchical Design 2) Cluster Randomized Block Design

577 views • 24 slides

How to Conduct a Meta-Analysis

How to Conduct a Meta-Analysis. Arindam Basu MD MPH About the Author Required Browsing. Objectives. Following the course, you will be able to : Define Meta-analysis Select Studies for a Meta-analysis Identify different types of Models Calculate Summary Effects

1.38k views • 21 slides

Multilevel modeling of educational longitudinal data with crossed random effects

Multilevel modeling of educational longitudinal data with crossed random effects . Minjeong Jeon Sophia Rabe-Hesketh University of California, Berkeley. 2008 Fall North American Stata Users Group meeting Nov. 13. 2008. Motivation: How to model this data?.

613 views • 20 slides

Scottish Social Survey Network: Master Class 1 Data Analysis with Stata

Scottish Social Survey Network: Master Class 1 Data Analysis with Stata. Dr Vernon Gayle and Dr Paul Lambert 23 rd January 2008, University of Stirling The SSSN is funded under Phase II of the ESRC Research Development Initiative. Multilevel data and analysis with Stata (in 15 minutes).

414 views • 19 slides

Workshop on a European Masters in Official Statistics

Workshop on a European Masters in Official Statistics. Natalie Shlomo University of Southampton. Online Survey. Questionnaire Design Main findings from NSIs Main finding from Academic Institutions General conclusions. Questionnaire.

385 views • 18 slides

Bryn Jones UNDA 2000

Introduction to Screen Presentations CO110E Bryn Jones UNDA 2000 Part 3 How to do Screen Presentations Making a presentation in Powerpoint Note: There are numerous versions of Powerpoint in use and they vary in the way the name functions and which menu they are in.

448 views • 13 slides

PROMOTIONS OPPORTUNITY ANALYSIS

PROMOTIONS OPPORTUNITY ANALYSIS. Ch. 5 with Duane Weaver. OUTLINE. Building the IMC Plan Situational Analysis Promotions Opportunity Analysis Communication Market Analysis Establish Marketing Communications Objectives Establish a Communications Budget Prepare Promotional Strategies

389 views • 11 slides

Fixed Effects Estimation

484 views • 10 slides