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Furthermore, we explored the risk of complications both for septic shock and for pneumonia.
We explored the risk factors for complications based on the Fine and Gray model with sub-distribution hazard.
Moreover, we explored the risk factors of HPV incidence and clearance using one-year follow-up data.
Using the updated database, we explored the risk of pancreatic cancer according to sibling history of cancer as well.
We explored the risk of end-stage renal disease (ESRD) among gout patients in a representative cohort in Taiwan.
Moreover, in additional sensitivity analyses we explored the risk of IHPS according to specific macrolide subtype (for all six exposure windows).
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By adopting a flexible Bayesian clustering approach, we explore the risk function linking exposure history to disease.
Here, we explore the risk factors and clinical phenotypes of Beijing genotype strains among tuberculosis patients in China, using spoligotyping data and patient information derived from the above study.
For the RRR scores we observed that certain centres introduced heterogeneity in the diabetes association and so we further explored the risk contributions and intake distributions of single food components in these centres.
We also explored the risk factors for HPV prevalence, incidence and clearance using both univariate and multivariate models.
We therefore explored the risk factors in pregnancies with normally formed singletons and estimated the respective contribution of these factors to the overall burden of stillbirth in our population.
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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