A new paper introduces a DL model to enable ‘computer aided diagnosis of obesity.’ Some concerns: 1. Better baselines: BMI is easy to calculate and it would be useful to compare the results to BMI. 2. Incorrect statement: The authors write: “the data partition in all the image sets are

In many matching papers, the key claim proceeds as follows: our matching method is better than others because on this set of contrived data, treatment effect estimates are closest to those from the ‘gold standard’ (experimental evidence). Let’s side-step concerns related to an important point: evidence that a method

Pairwise matching before randomization reduces s.e. (see below, for instance). Generally, the strategy is used to create balanced control and treatment groups from available observations. But we can use the insight for optimal sample recruitment, especially in cases where we have a large panel of respondents with baseline data,