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Parameter estimates for regression models predicting fixation bias in the pre-outcome and outcome phases of the trial.

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Figshare2019-10-10 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Parameter_estimates_for_regression_models_predicting_fixation_bias_in_the_pre-outcome_and_outcome_phases_of_the_trial_/9964307
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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.
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2019-10-10
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