Posts Tagged ‘ Causal Inference ’

Balancing bias and variance in the design of behavioral studies: The importance of careful measurement in randomized experiments

August 24, 2016
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At Bank Underground: When studying the effects of interventions on individual behavior, the experimental research template is typically: Gather a bunch of people who are willing to participate in an experiment, randomly divide them into two groups, assign one treatment to group A and the other to group B, then measure the outcomes. If you […] The post Balancing bias and variance in the design of behavioral studies: The importance…

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Calorie labeling reduces obesity Obesity increased more slowly in California, Seattle, Portland (Oregon), and NYC, compared to some other places in the west coast and northeast that didn’t have calorie labeling

August 16, 2016
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Calorie labeling reduces obesity Obesity increased more slowly in California, Seattle, Portland (Oregon), and NYC, compared to some other places in the west coast and northeast that didn’t have calorie labeling

Ted Kyle writes: I wonder if you might have some perspective to offer on this analysis by Partha Deb and Carmen Vargas regarding restaurant calorie counts. [Thin columnist] Cass Sunstein says it proves “that calorie labels have had a large and beneficial effect on those who most need them.” I wonder about the impact of […] The post Calorie labeling reduces obesity Obesity increased more slowly in California, Seattle, Portland…

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Does Benadryl make you senile? Challenges in research communication

July 29, 2016
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Does Benadryl make you senile?  Challenges in research communication

Mark Tuttle points to a post, “Common anticholinergic drugs like Benadryl linked to increased dementia risk” by Beverly Merz, Executive Editor, Harvard Women’s Health Watch. Merz writes: In a report published in JAMA Internal Medicine, researchers offers compelling evidence of a link between long-term use of anticholinergic medications like Benadryl and dementia. . . . […] The post Does Benadryl make you senile? Challenges in research communication appeared first on…

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Killer O

July 25, 2016
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Killer O

Taggert Brooks points to this excellent news article by George Johnson, who reports: Epidemiologists have long been puzzled by a strange pattern in their data: People living at higher altitudes appear less likely to get lung cancer. . . . The higher you live, the thinner the air, so maybe oxygen is a cause of […] The post Killer O appeared first on Statistical Modeling, Causal Inference, and Social Science.

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One-day workshop on causal inference (NYC, Sat. 16 July)

July 15, 2016
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James Savage is teaching a one-day workshop on causal inference this coming Saturday (16 July) in New York using RStanArm. Here’s a link to the details: One-day workshop on causal inference Here’s the course outline: How do prices affect sales? What is the uplift from a marketing decision? By how much will studying for an […] The post One-day workshop on causal inference (NYC, Sat. 16 July) appeared first on…

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About that claim that police are less likely to shoot blacks than whites

July 14, 2016
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About that claim that police are less likely to shoot blacks than whites

Josh Miller writes: Did you see this splashy NYT headline, “Surprising New Evidence Shows Bias in Police Use of Force but Not in Shootings”? It’s actually looks like a cool study overall, with granular data, and a ton of leg work, and rich set of results that extend beyond the attention grabbing headline that is […] The post About that claim that police are less likely to shoot blacks than…

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Causal and predictive inference in policy research

July 9, 2016
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Todd Rogers pointed me to a paper by Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan, and Ziad Obermeyer that begins: Empirical policy research often focuses on causal inference. Since policy choices seem to depend on understanding the counterfactual—what happens with and without a policy—this tight link of causality and policy seems natural. While this link holds […] The post Causal and predictive inference in policy research appeared first on Statistical Modeling,…

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Causal mediation

July 7, 2016
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Causal mediation

Judea Pearl points me to this discussion with Kosuke Imai at a conference on causal mediation. I continue to think that the most useful way to think about mediation is in terms of a joint or multivariate outcome, and I continue to think that if we want to understand mediation, we need to think about […] The post Causal mediation appeared first on Statistical Modeling, Causal Inference, and Social Science.

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My week at ISBA

June 17, 2016
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I've spent the last few days in beautiful Sardinia for the ISBA world conference. The place is outstanding, really beautiful, although it's kind of weird that there is no real town along the cost for miles and miles. Leaving Cagliari and driving for ov...

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When doing causal inference, define your treatment decision and then consider the consequences that flow from it

May 26, 2016
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Danielle Fumia writes: I am a research at the Washington State Institute for Public Policy, and I work on research estimating the effect of college attendance on earnings. Many studies that examine the effect of attending college on earnings control for college degree receipt and work experience. These models seem to violate the practice you […] The post When doing causal inference, define your treatment decision and then consider the…

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