The 'vce (robust)' command was specified for the Poisson regression models in STATA.
Coherent incident response requires a robust command and control structure, with the ability to make rapid informed decisions across an organisation and also across a health economy.
All Poisson estimates used Poisson regression commands in STATA with the vce (robust) command to ensure robust confidence intervals and guarding against over-dispersion and violations of model assumption.
In addition, robust estimation methods were used, using the "robust" command in STATA [ 61], to control for clustering resulting from the inclusion of multiple observations per country in the study [ 73].
It can be easily adapted to various tasks, including on-line and off-line speech-to-text transcription [12] and robust voice-command control based on real-time keyword spotting [13].
Throw in support for robust voice commands and the ability to play nice with HTML5 apps as well as native ones and you've got yourself one intriguing little product.
STATA robust cluster commands were used to correct the standard errors estimated for models, using the neighborhood clusters.
The path following controller is divided into two parts: one part generating a heading command and another part designing a robust control.
Hazard response includes the rescue, emergency care, sheltering, and feeding of displaced persons, which is facilitated by a robust incident command system.
Standard errors account for clustering at the hospital level using the "robust cluster" command.
