Add to ORKGAbstract. Before R. A. Fisher introduced randomization, the literature on empirical methods emphasized reducing heterogeneity of experimental units as key to inference about the e¤ects of treatments. To what extent is heterogeneity relevant to causal inference when ethical or practical constraints make random assignment infeasible
Randomized controlled trials (RCT) have gained ground as dominant tool for studying policy intervent...
While practitioners think highly of randomized studies, some philosophers argue that there is no epi...
Peter Urbach has argued, on Bayesian grounds, that experimental randomization serves no useful purpo...
the literature on empirical methods emphasized reducing het-erogeneity of experimental units as the ...
According to R.A. Fisher, randomization “relieves the experimenter from the anxiety of con-sidering ...
e¤ects caused by a treatment when ethical or prac-tical issues prevent random assignment of units to...
This dissertation explores methodological topics in the analysis of randomized experiments, with a f...
This chapter discusses several important topics related to randomization in field experiments. In th...
According to R.A. Fisher, randomization "relieves the experimenter from the anxiety of considering i...
This is the author accepted manuscript. The final version is available from De Gruyter via the DOI i...
This manuscript includes three topics in causal inference, all of which are under the randomization ...
It is common to conduct causal inference in matched observational studies by proceeding as though tr...
Abstract. This talk describes the theory of causal inference in randomized experiments and nonrandom...
Making inferences about the causal effects is essential for public health and biomedical studies. Ra...
In this paper, the strengths and weakness of randomized field experiments are discussed. Although it...
Randomized controlled trials (RCT) have gained ground as dominant tool for studying policy intervent...
While practitioners think highly of randomized studies, some philosophers argue that there is no epi...
Peter Urbach has argued, on Bayesian grounds, that experimental randomization serves no useful purpo...
the literature on empirical methods emphasized reducing het-erogeneity of experimental units as the ...
According to R.A. Fisher, randomization “relieves the experimenter from the anxiety of con-sidering ...
e¤ects caused by a treatment when ethical or prac-tical issues prevent random assignment of units to...
This dissertation explores methodological topics in the analysis of randomized experiments, with a f...
This chapter discusses several important topics related to randomization in field experiments. In th...
According to R.A. Fisher, randomization "relieves the experimenter from the anxiety of considering i...
This is the author accepted manuscript. The final version is available from De Gruyter via the DOI i...
This manuscript includes three topics in causal inference, all of which are under the randomization ...
It is common to conduct causal inference in matched observational studies by proceeding as though tr...
Abstract. This talk describes the theory of causal inference in randomized experiments and nonrandom...
Making inferences about the causal effects is essential for public health and biomedical studies. Ra...
In this paper, the strengths and weakness of randomized field experiments are discussed. Although it...
Randomized controlled trials (RCT) have gained ground as dominant tool for studying policy intervent...
While practitioners think highly of randomized studies, some philosophers argue that there is no epi...
Peter Urbach has argued, on Bayesian grounds, that experimental randomization serves no useful purpo...