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Mathematical modeling for left truncated HIV data to predict the time between primary infection and enrolment in the study

Publication status:: Published

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APA Style

Zhuang, J., & Griffiths, R. (2007). Mathematical modeling for left truncated HIV data to predict the time between primary infection and enrolment in the study. GENETIC EPIDEMIOLOGY, 31(6), 652–652.

MLA Style

Zhuang, J., and R. Griffiths. “Mathematical Modeling for Left Truncated HIV Data to Predict the Time between Primary Infection and Enrolment in the Study.” GENETIC EPIDEMIOLOGY, vol. 31, no. 6, 2007, pp. 652–52.

Chicago Style

Zhuang, J, and R Griffiths. 2007. “Mathematical Modeling for Left Truncated HIV Data to Predict the Time between Primary Infection and Enrolment in the Study.” In GENETIC EPIDEMIOLOGY, 31:652–52.
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Authors

+ Zhuang, J More by this author

Role:: Author

+ Griffiths, R More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Statistics
Role:: Author

Host title:: GENETIC EPIDEMIOLOGY
Volume:: 31
Issue:: 6
Pages:: 652-652
Publication date:: 2007-09-01
ISSN:: 0741-0395

Pubs id:: pubs:97759
UUID:: uuid:8605d57e-7939-4abb-8932-8b15b9e939b4
Local pid:: pubs:97759
Source identifiers:: 97759
Deposit date:: 2012-12-19

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Copyright date:: 2007

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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