The effects of different prior (known) information on the estimation precision of mean and standard deviation value from D-optimality-based sensitivity test method were studied by Monte Carlo simulation，and the results were compared with that from the other two sensitivity test methods(up-and-down method and Langlie method). The results show that the primary test parameter has less effect on the estimation precision from D-optimality than that from the other two methods. More accurate mean values can be obtained when enough prior information is available，while better standard deviations can be obtained from D-optimality method. In the case of deficient prior information，the value mean is more precise from D-optimality method than that from the other two methods. When mean is known and standard deviation is unknown，more accurate estimation of mean can be obtained by Langlie method，while more reliable standard deviation can be obtained from D-optimality method. Generally，better estimation of standard deviation and P respond value are obtained by D-optimality than that by the other two methods in any case.