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For Hirsch et al. (2010), models without firm effects show no difference, and for Booth and Katic (2011), both models with controls show no difference.
However, these models with controls continue to show a similar association with hashtag coordination, with an effect for media organizations and no effect for digital activists.
We use multivariate regression models with controls for many time-varying measures and hospital fixed effect estimation approach, which controls for hospital specific time-invariant measures.
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Statistical analysis was performed by multiple linear regression models with control for relevant factors all at the same time in the model.
This paper presents a methodology for the robust detection, isolation and compensation of control actuator faults in particulate processes described by population balance models with control constraints and time-varying uncertain variables.
For our exploration of non-neutral differentiation, outlier methods were used in combination with regression models with control variables to test environmental associations.
Mixed models with controlling for cord blood lead revealed a modest inverse relationship between maternal patella lead and LINE-1 methylation (β= −0.025, p = 0.08).
In the model with controls for initial overeducation the estimates are about 2.1 for natives, 2.2 for Western immigrants and around 2.4 for non-Western immigrants.
To identify an optimal combination of biomarkers, all two way combinations of new and current biomarkers were also entered into a logistic regression model with controls for age, duration, and clustered data (as above).
Fatigue remained significant with an odds ratio of 0.28, so its effect was essentially unchanged when in a full model with controls.
The difference in plasma 25(OH D concentrations between participants with and without metabolic syndrome was tested by the general linear model with controls for age, sex, geographic location, residential region, and visit date.
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