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Short Unsupervised

Mixed Model Analysis of Medical Data using ASReml-R (ASReml_02)


Description
In this course we will focus on using ASReml-R to fit linear mixed models (LMM) for the analysis of data from clinical trials in the context of medical research studies. ASReml-R is a statistical software that uses Residual Maximum Likelihood (REML) to fit complex models in the R environment with great flexibility.

Some of the topics covered here include analysis of matched case-control and multi-center studies, cross-over trials, meta-analysis and the evaluation of repeated measures data among others.

Features related to defining the proper construction/specification of linear models (and their variance structure) and extracting relevant information also will be addressed using datasets from an array of clinical studies.

For this course it is recommended the user has some basic understanding of linear models and is familiar with the statistical package R. You will have 60 days of access to this material to complete your training.

ASReml-R version 4 license: As a participant of this training you have access to a free ASReml-R license for the duration of the training course (60 days). Once registered you will be sent, within 24 hours, a license and a link to download the software if you are not already an existing user. Please note this will ONLY be sent to the email address that you used when you signed up.
Content
  • WELCOME TO MIXED MODEL ANALYSIS OF MEDICAL DATA USING ASREML-R
  • OUTLINE OF TOPICS
  • GETTING READY FOR CLASS
  • SESSION 1: INTRODUCTION
  • VIDEO 1. Getting Started with ASReml-R 4
  • SESSION 1: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 2: INTRODUCTION
  • VIDEO 2. Evaluating a Multi-Center Study with Nested Random Effects
  • SESSION 2: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 3: INTRODUCTION
  • VIDEO 3. Analysis of Matched Case-Control Studies with Random Effects
  • SESSION 3: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 4: INTRODUCTION
  • VIDEO 4. Analyzing a Study with Multiple Observations per Subject sample
  • SESSION 4: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 5: INTRODUCTION
  • VIDEO 5. Analysis of a Cross-Over Trial with Random Effects
  • SESSION 5: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 6: INTRODUCTION
  • VIDEO 6. Random Effects Meta-Analysis in Medical Research
  • SESSION 6: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 7: INTRODUCTION
  • VIDEO 7. Repeated Measures Analysis in Clinical Trials
  • SESSION 7: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 8: INTRODUCTION
  • VIDEO 8. Random Effects Regression Models for Longitudinal Data
  • SESSION 8: SUMMARY AND ADDITIONAL MATERIALS
  • SESSION 9: INTRODUCTION
  • VIDEO 9. Dose Response Analysis in Toxicology
  • SESSION 9: SUMMARY AND ADDITIONAL MATERIALS
  • CLOSING REMARKS
Completion rules
  • All units must be completed
  • Leads to a certification with a duration: Forever