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To find a simple multivariate score that has the potential to predict ovarian reserve, as well as pregnancy rate, in infertile women.
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The challenge is to transform a multivariate panel into a score that predicts clinical outcomes.
Then, we constructed a multivariate regression model for each summary score that included only statistically significant predictors (p < 0.05), using general linear models.
102 The result is a simple score that provides probability estimates that correspond to the score generated by the multivariate regression model.
We therefore asked whether a multivariate score of the markers that are significantly differentially expressed between low- and high-risk cases has a clinically relevant prognostic power.
The null hypothesis is of no difference between the two multivariate patterns of scores, that is the subjects in the two laboratories do not differ in their responses to the stimuli.
Here we propose a multivariate score test as the extension of that proposed by Chen & Abecasis [21].
This highlights the utility of the multivariate score (4).
The impact of the molecular scores PRO_10 and PGR_5 was further documented in multivariate models comprising clinicopathologic predictors and molecular scores that were significant in univariate analyses.
Although IFTA score, BMI and sex were strongly correlated with the decrease in haemoglobin, another multivariate model that included IFTA score, BMI, sex and rate of eGFR decrease as covariates showed that the eGFR decline was most strongly correlated with the decrease in haemoglobin level [standardized coefficient 0.70; P < 0.001 (Table S1)].
However, this association was not maintained in multivariate analyses that included Gleason score, PSA level, patient age and cancer Ki67 status (Table 2).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com