Add to ORKG- Four causality conditions for E(Y|X,Z) - The experimental design technique of conditional randomization - Covariate selection based on the causality conditions - The example of nonorthogonal analysis of variance: Conditional and average total treatment effect
Indirect experiments are studies in which randomized control is replaced by randomized encouragement...
This dissertation studies the definition, identification, and estimation of causal effects within th...
With increasing data availability, treatment causal effects can be evaluated across different datase...
- Four causality conditions for E(Y|X,Z) - The experimental design technique of conditional randomi...
The core of the theory of total causal effects - Covariate - The random experiment (the empirical ...
The theory of individual and average causal effects presented in a previous paper is extended introd...
Why we need a theory of causal effects - Example Joe and Ann with self-selection - Random experi...
For estimating causal effects of treatments, randomized experiments are generally considered the gol...
- Combining the theory of causal Effects with EffectLiteR Analyses - True-Outcome-Variables for tot...
Making inferences about the causal effects is essential for public health and biomedical studies. Ra...
Abstract. This talk describes the theory of causal inference in randomized experiments and nonrandom...
e¤ects caused by a treatment when ethical or prac-tical issues prevent random assignment of units to...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
Many social experiments are run in multiple waves or replicate earlier social experiments. In princi...
Many social experiments are run in multiple waves, or are replications of earlier social ex-periment...
Indirect experiments are studies in which randomized control is replaced by randomized encouragement...
This dissertation studies the definition, identification, and estimation of causal effects within th...
With increasing data availability, treatment causal effects can be evaluated across different datase...
- Four causality conditions for E(Y|X,Z) - The experimental design technique of conditional randomi...
The core of the theory of total causal effects - Covariate - The random experiment (the empirical ...
The theory of individual and average causal effects presented in a previous paper is extended introd...
Why we need a theory of causal effects - Example Joe and Ann with self-selection - Random experi...
For estimating causal effects of treatments, randomized experiments are generally considered the gol...
- Combining the theory of causal Effects with EffectLiteR Analyses - True-Outcome-Variables for tot...
Making inferences about the causal effects is essential for public health and biomedical studies. Ra...
Abstract. This talk describes the theory of causal inference in randomized experiments and nonrandom...
e¤ects caused by a treatment when ethical or prac-tical issues prevent random assignment of units to...
Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Re...
Many social experiments are run in multiple waves or replicate earlier social experiments. In princi...
Many social experiments are run in multiple waves, or are replications of earlier social ex-periment...
Indirect experiments are studies in which randomized control is replaced by randomized encouragement...
This dissertation studies the definition, identification, and estimation of causal effects within th...
With increasing data availability, treatment causal effects can be evaluated across different datase...