Millie
your market intelligence analyst
Search Results
Edit Save
975 results
Jonathan Falk writes: Here’s an interesting story right in your sweet spot: Large effects from something whose possible effects couldn’t be that large? Check. Finding something in a sample of 1024 people that requires 34,000 to gain adequate power? Check. Misuse of p values? Check Science journalist hype? Check Searching for the cause of an […]
Uncovering Principles of Statistical Visualization Visualizations are central to good statistical workflow, but it has been difficult to establish general principles governing their use. We will try to back out some principles of visualization by considering examples of effective and ineffective uses of graphics in our own applied research. We consider connections between three goals […]
I keep being drawn to thinking there is a away to explain statistical reasoning to others that will actually do more good than harm. Now, I also keep thinking I should know better – but can’t stop. My recent attempt starts with a shadow metaphor, then a review of analytical chemistry and moves to the […]
Judith Tanur writes: The Rachel Tanur Memorial Prize for Visual Sociology recognizes students in the social sciences who incorporate visual analysis in their work. The contest is open worldwide to undergraduate and graduate students (majoring in any social science). It is named for Rachel Dorothy Tanur (1958–2002), an urban planner and lawyer who cared deeply […]
I was reflecting on what bugs me so much about people using the term “self-appointed” (for example, when disparaging “self-appointed data police” or “self-appointed chess historians“). The obvious question when someone talks about “self-appointed” whatever is, Who self-appointed you to decide who is illegitimately self-appointed? But my larger concern is with the idea that being […]
Martin King writes: For a couple of decades (from about 1988 to 2006) I was employed as a support statistician, and became very interested in the p-value issue; hence my interest in your contribution to this debate. (I am not familiar with the p-value ‘reconciliation’ literature, as published after about 2005.) I would hugely appreciate […]
Everyone dunks on Elsevier. But here’s a case where they behaved well. Jordan Anaya points me to this article from Retraction Watch: In May, [psychology professor Barbara] Fredrickson was last author of a paper in Psychoneuroendocrinology claiming to show that loving-kindness meditation slowed biological aging, specifically that it kept telomeres — which protect chromosomes — […]
Virgil Kurkjian writes: I was recently going through some of your recent blog posts and came across Using numbers to replace judgment. I recently wrote something about legible signaling which I think helps shed some light on exactly what causes the bureaucratization of science and maybe what we can do about it. In short I […]
Glenn Shafer writes: I have joined the immense crowd writing about p-values. My proposal is to replace them with betting outcomes: the factor by which a bet against the hypothesis multiplies the money it risks. This addresses the desideratum you and Carlin identify: embrace all the uncertainty. No one will forget that the outcome of […]
The replication crisis in science: Does it matter for policy? Andrew Gelman, Department of Statistics and Department of Political Science, Columbia University I argue that policy analysts should care about the replication crisis for three reasons: (1) High-profile policy claims have been systematically exaggerated; (2) This has implications for how to conduct and interpret new […]
As Ira Glass says, today we have a theme and some variations on this theme. Statistical nitpickers: Do they cause more harm than good? I’d like to think we cause more good than harm, but today I want to consider the counter-argument, that, even when we are correct on the technical merits, we statisticians should […]

Therapeutic Areas

Clinical Trials and Phases

Business Issues

Companies - Public

Companies - Venture Funded

Financial Results

Global Markets

Global Risk Factors

Government Agencies

Job Titles

Legal and Regulatory

Cell Receptors

Cells

Diagnostics and Therapeutics

Diseases

Drugs - Brand Names

Drugs - Generic

Enzymes

Genes

Health Care

Health and Wellness

Human Anatomy

Mechanisms of Action

Medical Devices

Proteins

Sources

Strategic Scenarios

Trends

Hints:

On this page, you see the results of the search you have run.  You may also view the following:

  •  Click on this drop-down menu on the right hand side of the page, to choose between the machine learning-produced Insights Reports, or the listing of concepts extracted from the results, in chart or list format. 


  •  View the number of search results returned for the search in each of your collections, and click on any of those numbers to view the entire listing of results from the chosen collection.

  •  Use the search adjustment drop-downs to change the scope, sorting, and presentation of your results.

  •  Show or hide the record’s caption (content description).

  •  Show actions that can be made with the search result record.

  •  Click on the Save button after running your search, to save it so that its results will be updated each time relevant new content is added to the designated collection. You may choose to be notified via search alerts.

Click here for more info on Search Results

Click here for more info on Machine Learning applications