Objectives:

Provide an introduction to analytical issues that are particularly relevant to healthcare intervention studies, including interrupted time series analysis, cluster randomized trials, and hierarchical models

List the situations in which a cluster randomized trial is the most feasible

List the disadvantages of to a cluster randomized trial

List the situations in which an interrupted time series is the most feasible

List the disadvantages to an interrupted time series design

Describe what types of statistical analyses are necessary for cluster randomized trials and interrupted time series

Describe and define the design effect

Use the design effect or estimates of between and within cluster variability to do sample size calculations for cluster randomized trials

Learning Activities:

Before Class

In Class

After Class

  • Review slide deck
  • Complete readings
  • Prepare protocol assignment #8
  • Attend in-person lecture on analytic and design issues
  • Attend small group on analytic design
  • Discuss protocol assignment
  • Remote learners view online lecture
  • Upload protocol assignment
  • Provide peer feedback on protocols
  • Receive small group leader and peer feedback on protocol
  • Complete self-assessment quiz
  • Review materials as needed
Last modified: Monday, April 14, 2014, 1:57 PM