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However, the presence of an increasing trend was assessed per pig by ordinary linear regression, showing a statistically significant (p < 0.05) increase in serum ALT-levels during the period of faecal HEV RNA excretion for one contact-infected pig necropsied 55 days after first faecal HEV RNA excretion and for three iv-pigs (nos. 6, 7 and 9 in Tables 2 and 3).
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The association between the daily mortality and the maximum temperature was then investigated by fitting the simple ordinary linear regression models with the following settings.
The accuracy of ordinary linear regression is affected by the significant inter-annual variation in total natural illuminance and the possible missing and abnormal values.
We determined the detailed clinical characteristics of patients selected by modified systematic sampling and performed univariate and multivariable ordinary linear regression analysis to determine factors associated with cost.
The ordinary linear regression (OLS) method was applied by using SAS 8.2 (SAS Institute, Cary, NC, USA) and Stata SE (StataCorp LP, College Station, TX, USA).
The influenza time series that we analyzed in this study is characterized by a strong autocorrelation, a property that commonly violates the ordinary linear regression.
Finally, the use of ordinary linear regression and unadjusted estimation can be considered.
It presented good performance in the variable selection problem of an ordinary linear regression model.
For an ordinary linear regression model (when the errors are independent and identically distributed (i.i.d).i.d
Next, a model-based sampling strategy for estimating an ordinary linear regression model in the spatial setting is described.
Ordinary linear regression analyses adjusting for age, gender, and medication classes in use (lithium, anticonvulsants, antidepressants, antipsychotics, and benzodiazepines) were conducted to determine the associations between mood state, as defined by YMRS and IDS-30-C scores, and identified clusters.
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