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RCM conceived of the study, participated in its design and coordination, conducted the Markov modeling analysis, helped conduct the statistical analysis, and helped to draft the manuscript.
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Developing effective design of experiments for the simulation modelling and analysis helped in validating the impact of the changes.
The final model for this analysis helped determine which of the many significant variables remained independently associated with engagement in sex work for this sample of transgender female youth.
Similar to cost analysis, further, model sensitivity analysis helps identify major risks affecting the project's duration, which are listed as below with their ranking: 1. Unauthorized deviation from vendor leading to re-work and schedule delay (39.9%). 2.
Further, the model sensitivity analysis helps identify that the major risks impacting the project's cost were limited to three factors, which are listed below with their ranking: 1.
Tabhu includes tools for human template selection, grafting, back-mutation evaluation, antibody modelling and structural analysis, helping the user in all the critical steps of the humanization experiment protocol.
MT participated in the model analysis and helped to draft the manuscript.
Though one may consider an AUC of 0.8 for the three-month model to be sufficiently accurate, decision analysis helps illustrate the clinical impact of applying the model to a population in which virtually every patient referred for orthopaedic management of metastatic bone disease survives three months.
Our mediation analysis helps advance the causal models.
Consecutive failure analysis helps to develop multiphysics failure models.
The analysis helps to determine the parameters on which a LR model can be fit for predictive analysis.
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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