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Original Article

Using advanced analytics to help identify women who are more likely to have a severe subjective experience of vulvovaginal atrophy: a modeling study

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Article: 2245479 | Received 12 Jan 2023, Accepted 28 Jun 2023, Published online: 15 Aug 2023

Figures & data

Table 1. Vulvovaginal atrophy symptoms included in the dependent variable used for model development.

Table 2. Independent variables included in the models.

Figure 1. Model characteristics: receiver operating characteristic curves (panels A, C, E, G) and relative contribution of variables (panels B, D, F, H). AUC: area under the curve; DIVA: day-to-day impact of vaginal aging.

Figure 1. Model characteristics: receiver operating characteristic curves (panels A, C, E, G) and relative contribution of variables (panels B, D, F, H). AUC: area under the curve; DIVA: day-to-day impact of vaginal aging.