ISO-690 (author-date, English)

LIU T, DONG X, REN Y, ZHANG K, GALIN O und WILSON R, 2020. Using Python and SAS to Efficiently Process Cancer Incidence Data in NAACCR XML Format. Journal of registry management. 1 September 2020. Vol. 47, no. 3, p. 170-170.

Elsevier - Harvard (with titles)

Liu T, Dong X, Ren Y, Zhang K, Galin O, Wilson R, 2020. Using Python and SAS to Efficiently Process Cancer Incidence Data in NAACCR XML Format. Journal of registry management 47, 170-170.

American Psychological Association 7th edition

Liu T, Dong X, Ren Y, Zhang K, Galin O, & Wilson R. (2020). Using Python and SAS to Efficiently Process Cancer Incidence Data in NAACCR XML Format. Journal of Registry Management, 47(3), 170-170.

Springer - Basic (author-date)

Liu T, Dong X, Ren Y, Zhang K, Galin O, Wilson R (2020) Using Python and SAS to Efficiently Process Cancer Incidence Data in NAACCR XML Format.. Journal of registry management 47:170-170

Juristische Zitierweise (Stüber) (Deutsch)

Liu T/ Dong X/ Ren Y/ Zhang K/ Galin O/ Wilson R, Using Python and SAS to Efficiently Process Cancer Incidence Data in NAACCR XML Format., Journal of registry management 2020, 170-170.

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