Skip to main content
. Author manuscript; available in PMC: 2018 Feb 12.
Published in final edited form as: J Antimicrob Chemother. 2016 Jan 28;71(5):1352–1360. doi: 10.1093/jac/dkv465

Table 4.

Average squared error and R-square for the final model and models investigated in sensitivity analyses on the derivation and validation sets.

Derivation set Validation set
Models ASE R-square ASE
Final model* 0.67 0.47 0.91
Base model# 0.76 0.40 0.92
ANRS 2013§ 0.72 0.44 0.94
HIVdb 7.0§ 0.73 0.43 0.95
REGA 9.1.0§ 0.74 0.42 0.91
Sensitivity analyses on the derived model
10-fold 0.67 0.47 0.91
25 copies/mL 0.77 0.41 1.04
2 ways interactions 0.68 0.48 0.91
GSS HIVdb 0.68 0.46 0.93
*

Least squared estimation (LSE) using the model including the derived weighted darunavir mutations, baseline CD4 and HIV-1 RNA and GSS of the accompanying drugs (according to ANRS 2013 interpretation)

#

LSE using the final model without the derived weighted darunavir mutations (i.e. using only baseline CD4 and HIV-1 RNA and GSS of the accompanying drugs)

§

LSE models including the available darunavir genotypic interpretations, baseline CD4, HIV-1 RNA and GSS of the accompanying drugs

10-fold = 10-fold cross validation was used instead of 5-fold

25 copies/mL =undetectable value replaced with 25 copies/mL

2-way interactions = significant 2-way interactions between mutations terms retained in the final model

GSS HIVdb = the final model is adjusted for the GSS of the drugs accompanying darunavir computed according to HIVdb 7.0 instead of ANRS 2013.

Accuracy = percentage of cases correctly classified