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The following equation represents the model, where \(\beta\) 0 is the y -intercept, \(\beta\) 1 is the slope, \(c\) is the identity of the mPGES-1 inhibitor, \(i\) is an individual data point, and \(c\)[\(i\)] is the identity of the mPGES-1 inhibitor at the \(i\) th point: Informed by the linear regression model described above, one million sets of regression coefficients were simulated (Venables et al

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Together they target two different receptors that feed the same growth hormone pulse