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Analysis of categorical data
The analysis of counts, rather than measurements, where people or things are classified simultaneously by two or more attributes. Categorical variables may be ordinal (categories are naturally orders) or nominal (categories have no natural order). The counts are conveniently arranged in a table, known as a contingency table. The pattern of association may be measured by computing measures of association or by fitting a log-linear model Research Output
Research and technical/policy output for clients
Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the lapse odds for insurance policies of African Life for 2001. For: African Life. Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the lapse odds for insurance policies of HSBC Bank for 2001. For: HSBC Bank. Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the lapse odds for insurance policies of SANLAM for 2001. For: SANLAM. Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the lapse odds for insurance policies of Standard Bank for 2001. For: Standard Bank Insurance Brokers. Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the monthly lapse odds for insurance policies of SANLAM for 2001. For: SANLAM. Crowther NAS, Louw EM, Strydom HF, Crafford G: Contract Research: 2001. Compilation and modelling of the monthly lapse odds for insurance policies of Standard Bank for 2001. For: Standard Bank Insurance Brokers. Crowther NAS, Louw EM, Strydom HF: Contract Research: 2001. Compilation and modelling of the lapse odds for insurance policies of Botswana Life Insurance Ltd for 2001. For: Botswana Life Insurance Ltd. |