## What is/are Comparing Observational?

Comparing Observational - Observational data were analyzed descriptively by comparing observational data from Dendrobium odoardi orchids irradiated with control plants.^{[1]}This paradox highlights the importance of randomized controlled trials, and may explain the discordance noted in prior studies comparing observational trials and randomized studies.

^{[2]}Statistical methods such as Root Mean Square Error (RMSE) and model skill were used to validate model results for each model domain and found the improvement of the model solution when comparing observational data by model results for the larger and smaller domain at the same location, respectively.

^{[3]}The data collection method used is comparing observational data with the results of interviews with triangulation.

^{[4]}In this study, we focused on the effect of reflection on different instructional methods, comparing observational learning and learning by doing, in the context of an academic writing task.

^{[5]}Ages are however measured only indirectly by comparing observational data with models.

^{[6]}Comparing observational data from PATH and four independent research studies provides a best-practices approach and example of data synthesis for the tobacco research community.

^{[7]}Comparing observational data from PATH and four independent research studies, provides a best-practices approach and example of data synthesis for the tobacco research community.

^{[8]}

## comparing observational datum

Observational data were analyzed descriptively by comparing observational data from Dendrobium odoardi orchids irradiated with control plants.^{[1]}Statistical methods such as Root Mean Square Error (RMSE) and model skill were used to validate model results for each model domain and found the improvement of the model solution when comparing observational data by model results for the larger and smaller domain at the same location, respectively.

^{[2]}The data collection method used is comparing observational data with the results of interviews with triangulation.

^{[3]}Ages are however measured only indirectly by comparing observational data with models.

^{[4]}Comparing observational data from PATH and four independent research studies provides a best-practices approach and example of data synthesis for the tobacco research community.

^{[5]}Comparing observational data from PATH and four independent research studies, provides a best-practices approach and example of data synthesis for the tobacco research community.

^{[6]}