Add to ORKGAn observational study occurs when the experimenter does not have explicit control over the assignment of subjects to treatments. A major concern in observational studies is the adjustment for the biases due to pretreatment differences. Propensity score matching is a commonly used method to remove bias in observed covariates, especially when the covariate is of high dimension. A vast literature has been discussing the propensity score matching under the bipartite setup. This thesis tries to extend the propensity score matching to the cases with more than two parts. The methods for matching with multiple doses, matching with one treated and two control groups and matching with time-dependent covariates have been developed with the aid of an ...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
This thesis explores methods of analysis and design for observational studies and applies them to ra...
An observational study occurs when the experimenter does not have explicit control over the assignme...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
A major limitation of making inference about treatment effect based on observational data from a non...
This paper considers causal inference and sample selection bias in non-experimental settings in whic...
Multivariate matching is used to remove bias between treatment and control groups in observational s...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
This paper considers causal inference and sample selection bias in non-experimental settings in whic...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
This paper considers casual inference and sample selection bias in non-experimental settings in whic...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
This thesis explores methods of analysis and design for observational studies and applies them to ra...
An observational study occurs when the experimenter does not have explicit control over the assignme...
Matching is a common approach to reduce bias in observed covariates to draw reliable causal inferenc...
A major limitation of making inference about treatment effect based on observational data from a non...
This paper considers causal inference and sample selection bias in non-experimental settings in whic...
Multivariate matching is used to remove bias between treatment and control groups in observational s...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
This paper considers causal inference and sample selection bias in non-experimental settings in whic...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
Randomization of treatment assignment in experiments generates treatment groups with approximately b...
This paper considers casual inference and sample selection bias in non-experimental settings in whic...
The propensity score analysis is one of the most widely used methods for study-ing the causal treatm...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
This thesis explores methods of analysis and design for observational studies and applies them to ra...