Multivariable Poisson regression with robust error variance was used to estimate risk ratio (RR).
Multivariable Poisson regression models with robust error estimates were used to estimate relative risk of outcomes.
Multivariable Poisson regression models with robust error estimates were used to estimate the relative risk of outcomes.
We used Poisson regression with robust error variance41 to assess the association between metformin use and severe dengue manifestations, adjusting for potential confounding variables.
Univariable and multivariable Poisson regression with robust error variance analyses provided crude and adjusted risk ratio (cRR and aRR) respectively with 95% confidence interval (CI).
A robust error analysis was undertaken to determine the optimum methodology to convert image light intensity to concentration.
We show that the use of weighted H−1-norm residual gives a more robust error indicator which works well for cases with high contrast media.
We used Poisson regression with robust error variance to derive the adjusted relative risk estimates (RR) for the association of PTSD with five clinically relevant antepartum complications [gestational diabetes (GDM), preeclampsia, gestational hypertension, growth restriction, and abruption].
To allow robust error estimates w.r.t. the unknown change of measure, we properly randomize the initial value of the forward process.
This general-purpose method provides a new, systematic decomposition of the influences on travel outcomes, where the effects of each variable can be examined in turn with robust error terms.
An experiment, supported with a robust error analysis, is also conducted on a straight polyurethane tube conveying water, subjected to a sinusoidal excitation at the center between the clamped supports.
