Parameter estimates for regression models predicting fixation bias in the pre-outcome and outcome phases of the trial.
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Mean β represents the mean estimated β value of the predictor in the regression model, while the 2.5% and 97.5% HPDI values represent the upper and lower interval on the 95% highest posterior density of the posterior distribution over the estimated parameter values.
创建时间：
2019-10-10
