A new form of matching—optimal balanced risk set matching—is applied in an observationa l study of a treatment, cystoscopy and hydrodistention, given in response to the symptoms of the chronic, nonlethal disease interstitial cystitis. When a patient receives the treatment at time t, that patient is matched to another patient with a similar history of symptoms up to time t who has not received the treatment up to time t; this is risk set matching. By using a penalty function in integer programming in a new way, we force the marginal distributions of symptoms to be balanced in the matched treated and control groups. Among all balanced matchings, we pick the one that is optimal in the sense of minimizing the multivariate pretreatment covariate...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
In some observational studies of treatment effects, matched samples are created so treated and contr...
In a tapered matched comparison, one group of individuals, called the focal group, is compared to tw...
New optimal balanced pair matching methods are proposed in an attempt to balance the marginal distri...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
In observational studies of treatment effects, matched samples have traditionally been constructed u...
Comparative effectiveness studies can identify the causal effect of treatment if treatment is unconf...
In multivariate matching, fine balance constrains the marginal distributions of a nominal variable i...
Matching on covariates is a well-established framework for estimating causal effects in observationa...
In observational studies of treatment effects, matched samples are created so treated and control gr...
Matching members of a treatment group (cases) to members of a no treatment group (controls) is often...
An observational study occurs when the experimenter does not have explicit control over the assignme...
Matching for several nominal covariates with many levels has usually been thought to be difficult be...
Background In case-control studies most algorithms allow the controls to be sampled several times, w...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
In some observational studies of treatment effects, matched samples are created so treated and contr...
In a tapered matched comparison, one group of individuals, called the focal group, is compared to tw...
New optimal balanced pair matching methods are proposed in an attempt to balance the marginal distri...
In observational studies, matching can be used to remove bias between treated and control subjects. ...
In observational studies of treatment effects, matched samples have traditionally been constructed u...
Comparative effectiveness studies can identify the causal effect of treatment if treatment is unconf...
In multivariate matching, fine balance constrains the marginal distributions of a nominal variable i...
Matching on covariates is a well-established framework for estimating causal effects in observationa...
In observational studies of treatment effects, matched samples are created so treated and control gr...
Matching members of a treatment group (cases) to members of a no treatment group (controls) is often...
An observational study occurs when the experimenter does not have explicit control over the assignme...
Matching for several nominal covariates with many levels has usually been thought to be difficult be...
Background In case-control studies most algorithms allow the controls to be sampled several times, w...
In observational studies, treated subjects and controls are often matched to remove bias in pre-trea...
This thesis unites three papers discussing new strategies for matched pair designs using observation...
In some observational studies of treatment effects, matched samples are created so treated and contr...
In a tapered matched comparison, one group of individuals, called the focal group, is compared to tw...