none7siBACKGROUND: One aim of personalized medicine is to determine which treatment is to be preferred for an individual patient, given all patient information available. Particularly in mental health, however, there is a lack of a single objective, reliable measure of outcome that is sensitive to crucial individual differences among patients. METHOD: We examined the feasibility of quantifying the total clinical value provided by a treatment (measured by both harms and benefits) in a single metric. An expert panel was asked to compare 100 pairs of patients, one from each treatment group, who had participated in a randomized clinical trial (RCT) involving interpersonal psychotherapy (IPT) and escitalopram, selecting the patient with the...
BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous stu...
BACKGROUND: Patient-reported outcomes (PROs) are widely used for evaluating the care of patients wit...
Background: Advances in personalized medicine require the identification of variables that predict d...
BACKGROUND: One aim of personalized medicine is to determine which treatment is to be preferred fo...
The primary scientific goal of a randomized clinical trial of two treatments, A and B, is to compare...
Introduction: Although psychotherapies for depression produce equivalent outcomes, individual patien...
Objective: To develop a simple system to assess benefit and harm of treatment on a single scale. Har...
In medical oncology randomized trials, treatment effect is usually assessed on several endpoints, in...
© 2019, © 2019 American Statistical Association. Social and medical scientists are often concerned t...
Background and Objective: The propensity score method (PS) has proven to be an effective tool to red...
PURPOSE: To describe the concerns raised by health plan members, providers and purchasers related to...
Objective: Optimizing treatment selection may improve treatment outcomes in depression. A promising ...
Background\ud \ud Advances in personalized medicine require the identification of variables that pre...
AbstractOutcomes in RCT's of antipsychotic medications are often examined using last observation car...
The purpose of clinical research is to answer this ques-tion: Would a new treatment, when added to t...
BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous stu...
BACKGROUND: Patient-reported outcomes (PROs) are widely used for evaluating the care of patients wit...
Background: Advances in personalized medicine require the identification of variables that predict d...
BACKGROUND: One aim of personalized medicine is to determine which treatment is to be preferred fo...
The primary scientific goal of a randomized clinical trial of two treatments, A and B, is to compare...
Introduction: Although psychotherapies for depression produce equivalent outcomes, individual patien...
Objective: To develop a simple system to assess benefit and harm of treatment on a single scale. Har...
In medical oncology randomized trials, treatment effect is usually assessed on several endpoints, in...
© 2019, © 2019 American Statistical Association. Social and medical scientists are often concerned t...
Background and Objective: The propensity score method (PS) has proven to be an effective tool to red...
PURPOSE: To describe the concerns raised by health plan members, providers and purchasers related to...
Objective: Optimizing treatment selection may improve treatment outcomes in depression. A promising ...
Background\ud \ud Advances in personalized medicine require the identification of variables that pre...
AbstractOutcomes in RCT's of antipsychotic medications are often examined using last observation car...
The purpose of clinical research is to answer this ques-tion: Would a new treatment, when added to t...
BACKGROUND: Different presentations of treatment effects can affect decisions. However, previous stu...
BACKGROUND: Patient-reported outcomes (PROs) are widely used for evaluating the care of patients wit...
Background: Advances in personalized medicine require the identification of variables that predict d...