Wednesday, November 25th (Day 1) | |
09.00 - 10.00 | REGISTRATION |
10.00 - 11.00 | Why clustering matters, some examples, the history of cluster randomised trials, mistakes made in the past, improvements in understanding. |
11.00 - 11.30 | Break (Morning Tea) |
11.30 - 12.30 | How clustering affects sample size, the intracluster correlation coefficient (ICC). |
12.30 - 01.30 | LUNCH |
01.30 - 02.30 | Sample size exercise. |
02.30 - 03.00 | Break (Afternoon Tea) |
03.00 - 04.00 | Analysis using summary statistics and robust standard errors. |
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Thursday, November 26th (Day 2) | |
09.00 - 10:00 | Other approaches to the analysis: multilevel modelling, general estimating equations (GEE), a Bayesian approach. |
10.00 - 10.30 | Break (Morning Tea) |
10.30 - 11.30 | Practical problems of cluster randomised trials. |
11.30 - 12.30 | Case studies of three cluster randomised trials. (Guest speaker: Joanne McKenzie) |
12.30 - 01.30 | LUNCH |
01.30 - 02.30 | Paper critique of a published cluster randomised trial |
02.30 - 03.00 | Break (Afternoon Tea) |
03.00 - 04.00 | Extension of the principles of cluster randomised trials to grouping in individually randomised trials. |
Science Centre, Building 303, 38 Princes Street, City Campus (map below), Auckland
Registration on the day (25th): | SciSpace, G16, Ground Level, Science Centre |
Workshop sessions: | MLT3, Level 1, Science Centre |
Lunch and morning/afternoon tea: | SciSpace, G16, Ground Level, Science Centre |