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Objective To compare the difference of effect between principal component regression analysis and projection pursuit regression analysis when collinearity exists in data.Methods Evaluating the advantages and disadvantages of the two modeling methods by using the actual data on two aspects:the fitting effect and the predicting effect.Results The principal component regression model showed that the coefficient of determination was 0.8172,the mean of absolute relative error was 6.42％ and the mean square of prediction error was 0.61.The projection pursuit regression model,on the other hand,showed that the coefficient of determination ranged from 0.8851 to 0.9944,the mean of absolute relative error ranged from1.11％ to 4.81％ and the mean square of prediction error ranged from 0.03 to 0.38.Conclusion The analysis results based on the actual data with collinearity indicate that the projection pursuit regression analysis outperforms the principal component regression analysis both in fitting and predicting effect.
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Risk assessment is critical to responses to public health emergencies .Practices and researches concerning risk assessment of public health emergencies in China′s military are still in the early stage .This paper summarizes the rele-vant concepts , categorization , assessment methods , and practices .Based on management requirements of risk assessment , suggestions are raised about how to strengthen the risk assessment capability of Armed Forces by formulating management rules, perfecting assessment methods and developing assessment tools .
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Based on the work characteristics of disease and control of People's Liberation Army (PLA), the paper discusses the establishment of quality control system at Institute of Disease and Control of PLA and the subsequent effects. This could provide some reference for improvement disease control of PLA.