21 citations · 48 across the 5 of their papers we have counts for
5 papers
Inferring Treatment Effects After Testing Instrument Strength in Linear Models
Nan Bi, Hyunseung Kang, Jonathan Taylor
A common practice in IV studies is to check for instrument strength, i.e. its association to the treatment, with an F-test from regression. If the F-statistic is above some thresho…
Inference After Selecting Plausibly Valid Instruments with Application to Mendelian Randomization
Nan Bi, Hyunseung Kang, Jonathan Taylor
Mendelian randomization (MR) is a popular method in genetic epidemiology to estimate the effect of an exposure on an outcome by using genetic instruments. These instruments are oft…
Inferactive data analysis
Nan Bi, Jelena Markovic, Lucy Xia +1
We describe inferactive data analysis, so-named to denote an interactive approach to data analysis with an emphasis on inference after data analysis. Our approach is a compromise b…
Selective sampling after solving a convex problem
Xiaoying Tian Harris, Snigdha Panigrahi, Jelena Markovic +2
We consider the problem of selective inference after solving a (randomized) convex statistical learning program in the form of a penalized or constrained loss function. Our first m…
MAGIC: a general, powerful and tractable method for selective inference
Xiaoying Tian, Nan Bi, Jonathan Taylor
Selective inference is a recent research topic that tries to perform valid inference after using the data to select a reasonable statistical model. We propose MAGIC, a new method f…