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Open Access

Correction

Correction: Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits?

  • The PLOS ONE Staff

Figures S1, S2 and S3 are omitted from the Appendix S1 file in the Supporting Information. They can be viewed below.

Supporting Information

Figure S1.

Basic structure of HIV simulation model.See text for details.

https://doi.org/10.1371/journal.pone.0108643.s001

(TIF)

Figure S2.

Typical patient histories with and without pipeline drugs. See text for details.

https://doi.org/10.1371/journal.pone.0108643.s002

(TIF)

Figure S3.

The Quantile-Quantile plot for pipeline arrival process. Quantile-Quantile plots are used to compare a dataset to a theoretical distribution. It provides an assessment of graphical goodness of fit. If the points lie on the line, the probability distribution is acceptable.

https://doi.org/10.1371/journal.pone.0108643.s003

(TIF)

Reference

  1. 1. Khademi A, Braithwaite RS, Saure D, Schaefer AJ, Nucifora K, et al. (2014) Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits? PLoS ONE 9(6): e98354

Citation: The PLOS ONE Staff (2014) Correction: Should Expectations about the Rate of New Antiretroviral Drug Development Impact the Timing of HIV Treatment Initiation and Expectations about Treatment Benefits? PLoS ONE 9(9): e108643. https://doi.org/10.1371/journal.pone.0108643

Published: September 12, 2014

Copyright: © 2014 The PLOS ONE Staff. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.