We are announcing three courses, which are scheduled to take place in April & May 2004. Summary information is given below.
For more detailed information and registration forms please see http://www.ssc.rdg.ac.uk providing your address and/or fax number.
Advanced Topics in Survival Analysis, 26-28 April 2004. Duration 2.5 days (course closes Wednesday lunchtime). Price £675.
The most commonly used methods of dealing with survival, and other "time to event", data are based on the assumption of proportional hazards. This course reviews these models and introduces models for different types of data structure, or with different underlying assumptions.
During lectures and practical sessions the statistical package SAS will be used to illustrate the methodologies.
Investigating Relationships in Data, 10-11 May 2004. Duration 2 days. Price £460. (Fee of £850 for attending this course with Analysis of Binary and Categorical Data 12-13 May).
This course is for those faced with examining how one response, or output, depends on other "explanatory" variables. Important practical approaches are explained with examples drawn from a wide variety of scientific fields.
The course consists of lectures, interactive demonstrations and practical sessions. In the practical sessions participants may choose to use the packages GenStat, MINITAB, SAS or SPSS
Analysis of Binary and Categorical Data, 12-13 May 2004. Duration 2 days. Price £460. (Fee of £850 for attending this course with Investigating Relationships in Data, 10-11 May).
Many investigations often have data where there are only two, or a few, possible categories of response - for example a product may be accepted or rejected after inspection, a crop may or may not become infested with pests, a patient's symptoms can be classified as none, mild, moderate or severe.
This course will explain the techniques for studying associations between outcomes like those mentioned and possible explanatory factors. The emphasis will be on practical application and interpretation rather than theory. A large component of the course will be PC-based practical work based on the statistics packages GenStat, SAS and SPSS.
Sandro Leidi
Statistician, Statistical Services Centre
University of Reading
looking for statistical resources? see
http://www.rdg.ac.uk/~sns97aal
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