Abstract. If an observational study were free of unobserved bias, we would not know this from the observed data. The best we could hope to say is that only very large unobserved biases could alter the conclusions of the study. What features of the design of an observational study reduce its sensitivity to unobserved biases? How can designs for observational studies be compared quantitatively in terms of their ability to resist unobserved biases? The talk is from [30], [31] and [39], the last joint with Dylan Small
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...
<div><p>Observer bias and other “experimenter effects” occur when researchers’ expectations influenc...
Observer bias and other "experimenter effects" occur when researchers' expectations influence study ...
An observational or nonrandomized study of treatment effects may be biased by failure to control for...
Outside the field of statistics, the literature on observational studies offers advice about researc...
An observational or nonrandomized study of treatment effects may be biased by failure to control for...
This thesis considers observational studies in which experimental units are not randomly assigned to...
In an observational study of treatment effects, subjects are not randomly assigned to treatment or c...
The ability to compare similar groups is central to causal inference. If two groups are the same exc...
For estimating causal effects of treatments, randomized experiments are generally considered the gol...
In observational studies, identifying assumptions may fail, often quietly and without notice, leadin...
<p>The informal folklore of observational studies claims that if an irrelevant observed covariate is...
The informal folklore of observational studies claims that if an irrelevant observed covariate is le...
A sensitivity analysis in an observational study determines the magni-tude of bias from nonrandom tr...
This Viewpoint discusses the limitations that observational studies have in drawing causal inference...
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...
<div><p>Observer bias and other “experimenter effects” occur when researchers’ expectations influenc...
Observer bias and other "experimenter effects" occur when researchers' expectations influence study ...
An observational or nonrandomized study of treatment effects may be biased by failure to control for...
Outside the field of statistics, the literature on observational studies offers advice about researc...
An observational or nonrandomized study of treatment effects may be biased by failure to control for...
This thesis considers observational studies in which experimental units are not randomly assigned to...
In an observational study of treatment effects, subjects are not randomly assigned to treatment or c...
The ability to compare similar groups is central to causal inference. If two groups are the same exc...
For estimating causal effects of treatments, randomized experiments are generally considered the gol...
In observational studies, identifying assumptions may fail, often quietly and without notice, leadin...
<p>The informal folklore of observational studies claims that if an irrelevant observed covariate is...
The informal folklore of observational studies claims that if an irrelevant observed covariate is le...
A sensitivity analysis in an observational study determines the magni-tude of bias from nonrandom tr...
This Viewpoint discusses the limitations that observational studies have in drawing causal inference...
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...
<div><p>Observer bias and other “experimenter effects” occur when researchers’ expectations influenc...
Observer bias and other "experimenter effects" occur when researchers' expectations influence study ...