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Subject:

RSS highland group meetings

From:

Andrew Lawson <[log in to unmask]>

Reply-To:

Andrew Lawson <[log in to unmask]>

Date:

Fri, 08 Oct 1999 12:22:05 +0100

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (104 lines)



	Dear Allstatters
	The following meetings may be of interest:


	



	ROYAL STATISTICAL SOCIETY HIGHLAND LOCAL GROUP

	Meetings announcement

	-------------------------------------------------------------------
	1) Thursday October 21st at 6PM:

	venue: room M302 Meston Building, King's College, University of Aberdeen

	speaker: Andrew Lawson (University of Aberdeen)

	title: Disease Mapping:some issues

	abstract:
	Issues relating to the statistical analysis of disease maps are considered.
	Relative risk estimation in a Bayesian and non-Bayesian context is
	considered, in addition to the use of random object models useful 
	in the analysis of localised aggregations of excess risk or clusters.

	Reference: Lawson, A. B. et. al. (1999) 
	Disease Mapping and Risk Assessment for Public Health. Wiley/WHO, New York
	----------------------------------------------------------------------
	2) Wednesday 24th November at 1pm:

	venue: Fraser-Noble Lecture Theatre, King's College

	JOINT MEETING WITH ST ANDREWS UNIVERSITY

	speakers: Gillian Raab (Napier University), David Clayton (MRC, Cambridge)

	programme:

	1pm  Gillian Raab (Napier University)

	Balance in Cluster Randomised Trials

	2.30 pm coffee break

	3 pm  David Clayton (MRC Biostatistics Unit, Cambridge)
	Title to be confirmed

	4.30 end of meeting
	-------------------------------------------------------

	Following the meeting a meal has been arranged in the 
	private dining room in the Staff Refectory, King's College.
 	Anyone wishing to join the speakers and committee for 
	this meal are most welcome. 


	ABSTRACTS


	Gillian Raab

	title:    Balance in cluster randomised trials

	 Abstract:    
	Intervention studies where the unit of analysis
	is a group of  individuals, but inferences are required
	for individuals within the groups, are becoming 
	increasing popular, especially for the evaluation 
	of health policies. Although these studies may involve many individuals,
	the number of units of randomisation can be small. 
	Thus they can be vulnerable to a poorly balanced randomisation.
	This talk will review the literature on the design of such cluster 
	randomised studies and disuss the important role of balancing
	known features of the larger units in the design.

	David Clayton

	title: to be confirmed



	
	
_______________________________________________________

Dr Andrew B. Lawson
Department of Mathematical Sciences
University of Aberdeen
Aberdeen
AB24 3UE
UK

phone: 44-1224-272615 (voice mail)
fax: 44-1224-272607
email: [log in to unmask]
________________________________________________________


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

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