By Ognyan Ivanov

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C. Cruz, J. C. Ferraz, A. J. M. Khalil, E. H. Martins, G. Menegussi, D. Moreira, J. R. Rocha and M. A. Pinto, Intercomparison of calibration procedures for 192Ir HDR sources in Brazil, (1999). Med. Biol. 44, N31-N38 [17] R. E. deAlmeida Air kerma standard for calibration of well type chambers in Brazil using 192Ir HDR sources and its traceability. Med. Phys. (2009) 36 (3), 953-60. [18] IAEA, Calibration of brachytherapy sources: Guidelines of standardized procedures for the calibration of brachytherapy sources at secondary standard dosimetry laboratories (SSDL) and hospital, Report No TECDOC 1079, IAEA, Vienna, 1999.

3 Binomial data Medical data monitored are most often expressed in a success/failure dichotomy and therefore, the CUSUM test for binary data is the most frequently used Biau et al. (2007). Examples include monitoring the quality of implantation of hip prosthesesBiau et al. (2009), or monitoring the 30-day mortality after complex cardiac surgerySteiner et al. (1999). In this case the mean of the process µ is equal to the probability of the event monitored (usually the failure), which will be noted p.

The method may be adjusted and based on a discrete timeHardoon et al. (2007) or continuous time detectionBiswas & Kalbfleisch (2008); Sego et al. (2009). However, in practice it should be noted that eventually the responsiveness of the CUSUM test developped will be limited by the technical possibilities of collecting, analysing, and reporting the data on a regular and frequent basis. For instance the CUSUM test based on the likelihood ratio statistic will have the following sample weightHardoon et al.

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