For an internal validation of our model we compared the modeled fracture incidence rates with the expected fractures rates (input data) of the female general population.
Using the same model, we compared the seedling growth responses under the matching versus mismatching heterospecific saplings (i.e., excluding seedlings grown with conspecifics from the analysis).
In the final part of our trickle-up model, we compared the effects of trust in frontline leaders and trust in senior leaders.
To investigate the validity of the model, we compared the model results with experimental data and found satisfying similarities.
Based on this model, we compared the theoretical pyrolysis curve with the experimental curve, the two curves being quite similar.
Using a matched pair analysis model we compared treatment outcomes of this machine with those of an older generation Piezolith 2300 lithotriptor (Richard Wolf).
Using the in vivo Sephadex model, we compared two different study designs that were implemented to screen and select two novel candidate drugs for a drug discovery project.
After creating the model, we compared its estimates against deals we were in the process of underwriting, and the performance of our past deals.
Using an inverse probability-weighted propensity-score model we compared reoperation and 90 day complication rates, and postoperative health resource utilization of both approaches.
To extract the correct parameters for the elastic continuum model, we compared the present work with other approaches.
In our model we compared several LC filtering stages, with different filter order and considering Butterworth, Chebychev and Elliptic types.
