Pages that link to "Item:Q273781"

The following pages link to On randomization-based and regression-based inferences for \(2^K\) factorial designs (Q273781):

Displaying 15 items.

• Covariate adjustment in randomization-based causal inference for \(2^K\) factorial designs (Q333989) (← links)
• On the nature of saturated \(2^k\)-factorial designs for unbiased estimation of non-negligible parameters (Q826959) (← links)
• Wald-type statistics using \(\{2 \}\)-inverses for hypothesis testing in general factorial designs (Q900953) (← links)
• Inference from randomized (factorial) experiments (Q1750247) (← links)
• Randomization-based causal inference from split-plot designs (Q1800787) (← links)
• Block-regularized repeated learning-testing for estimating generalization error (Q2201671) (← links)
• Causal inference from strip-plot designs in a potential outcomes framework (Q2322573) (← links)
• On randomization-based causal inference for matched-pair factorial designs (Q2407769) (← links)
• Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments (Q4962451) (← links)
• On finite-population Bayesian inferences for 2^<i>K</i> factorial designs with binary outcomes (Q5107365) (← links)
• Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (Q5231479) (← links)
• Causal Inference from 2K Factorial Designs by Using Potential Outcomes (Q5378133) (← links)
• Randomization Tests for Weak Null Hypotheses in Randomized Experiments (Q5881970) (← links)
• Causal inference for multiple treatments using fractional factorial designs (Q6059456) (← links)
• Improved Neymanian analysis for 2^<i>K</i> factorial designs with binary outcomes (Q6067652) (← links)