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We used Poisson regression models with robust estimation of the standard errors to estimate relative risk for dichotomous birth outcomes, including preterm birth (<37 wk gestation), low birth weight (<2.5 kg, LBW), stunting (LAZ < −2), small head circumference (HCZ < −2), and small for gestational age [ 45].
Because we assume local stationary conditions, it makes more sense to utilize only a window of the latest samples than taking the full history of errors to estimate the description length.
In their paper, Westgard, Koch and Oryall [5] used the batch size and the observed frequency of errors to estimate the test yield and defect rate.
We used Poisson regression with robust standard errors to estimate the effect of the intervention on the longitudinal prevalence of diarrhea and other health outcomes[26].
The relation between LABA use and mortality was analyzed using a Poisson regression model with robust standard errors to estimate risk ratios [ 11].
Associations between sociodemographic factors and hypertension were investigated using a multivariable log-link Poisson model with robust standard errors to estimate adjusted prevalence ratios.
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The technique uses a decoupling procedure optimized by a minimum variance error to estimate the inductance and resistance of the motor.
Authors in Ref. [13] applied Paris' law to predict fatigue crack growth with utilization of transmission error to estimate the current crack size, which improved predictive accuracy.
As described in Section 1, we apply the distribution of sparse coefficients rather than the sparse error to estimate the foreground.
In the table below, select your target population on the left, then select your margin of error to estimate how many surveys you'll need.
We used root mean-square errors (RMSEs) to estimate the total magnitude of error.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com