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For example, the initial "exponential growth rate" of the epidemic curve, used in the method described by Wallinga & Lipsitch [ 4] has been estimated using linear regression on logged incidence [ 5], Poisson regression on incidence data [ 6] or renewal equations [ 7].
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The difference in difference estimator was estimated using linear regression model adjusting for covariates including women's age, women's ethnicity, parity, the distance between village and township, and average income of village per year.
Within condition effects were estimated using linear regression.
Years without data were estimated using linear interpolation.
Growth rates and lag phases were estimated using linear regression.
Means were estimated using linear mixed models and broad-sense heritability (H2) was calculated using PBTools.
Values at specific time points were estimated using linear interpolation between consecutive recorded values.
Adjusted PD and 95% CI were estimated using linear risk regression (Spiegelman and Hertzmark [2005]).
Disturbance affecting the system can be estimated using linear disturbance observer, extended state observer [7], nonlinear disturbance observer etc.
Hence, the coefficients w i, denoting both the equalizer and the predistorter weights, can be estimated using linear techniques.
Heritabilities and correlations were estimated using linear mixed models with pedigree additive genetic relationships and ASReml software.
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