Advanced statistical methods in analysing data on accidents at work and working conditions

Project manager: Zofia Pawłowska Ph.D. (Eng.)

Project summary:

The basis aim of the project consisted in selecting and adapting methods of multi-dimensional analysis and data exploration for analysing data on accidents at work. The first stage of the project consisted in a general survey of the problems related to previous attempts to describe a model of accidents at work; advanced statistical methods that could be used in an analysis of gathered data were discussed and compared. Then the usefulness of advanced multi-dimensional analysis and data mining for analysing statistical data on accidents at work were verified in practice. Pilot studies were done with selected method as were a preliminary implementation of those methods that turned out to be the most useful for further activities of CIOP-PIB's Centre for Analysing Accidents.Recommendations on the use of advanced statistical methods and data exploration for more detailed analyses of data on accident at work were formulated on the basis of the results of the pilot analyses. They are meant for CIOP-PIB's Centre for Analysing Accidents. The recommendations include the scope of analyses with individual methods; in particular, the objects of analysis and the expected results were listed as were practical examples of the ways those analyses can be used to analyse statistical data on accidents at work in Poland.

Unit: Department of Safety and Health Management

Duration: 01.06.2009 – 30.12.2010