Health sciences researcher out of my area of expertise. I have an assistant calling businesses at random, using a publicly available registry, to ask about their automated external defibrillator (AED). We are sampling without replacement.

My question is, what happens methodologically if we call one of the registered AEDs (selected by random) and the person/informant can give us info on multiple AEDs on the registry that have not been selected as part of our random sample? We’re in this position with a large business who has 10+ AEDs, all of which are registered, but our randomization only selected one of the 10+ devices. It seems crazy not to get info on all the devices to me.

Can/should we include these devices that were not randomly selected? I’m having trouble understanding the implications of sampling these and including them in our analysis. Including these other devices seems like snowball sampling instead of just simple randomized sampling.

Any help would be extremely appreciated. Thank you!!!

I ‘m planning to apply for Masters in Computer Science (Non-thesis). I ‘m wondering if both if both pregnancy and school can be managed at the same time. Or is better to wait until I get my baby and then apply for the school. I ‘m trying to learn from others experiences.

A somewhat distant relative has passed away and he had 2 papers he wanted to publish. He was a complete recluse in his later life, but not crackpot or anything (that I’m aware of). His field of study was physics. It’s completely out of my expertise but it seems legitimate (if not necessarily relevant to current literature). I believe a good course of action would be making them public on the arXiv: the papers both seem essentially ready to publish and it seems such a waste to not make it public somewhere.

Is it possible to publish with him as an author on the arXiv? (I’d prefer not to have my name on it)

Any alternative publishing suggestions are also welcome.

My scholarship entails an annual stipend for 3.5 years and a fee remission (its quite significant because the fee is 39,000$ per semester) for 4 years. Should I include the fee remission on my CV as well? If so, should I couple them or state them separately? Citizens receive them as two different scholarships but internationals receive them both under one name. In addition, would you put the total amount or amount/year?

I am coming to the end of my PhD in which I have been working under an NDA and not yet published anything directly from the thesis itself. Pretty soon we will be able to publish the work, and I am eager to get my chapters out there as papers.

I had eyeballed a journal within my field (a journal that I use/cite heavily) that I consider to be relevant and would give my paper great exposure to the people working in my field. I suggested this journal to my main supervisor, but they were dismissive due to a low impact factor of 2.31. They instead suggested going for more of a broad, catch-all journal with a factor of 4.57 that covers a lot of topics in my field albeit (in my opinion) not very thoroughly. Typically papers in that journal are not technical – the paper I want to publish would be technical and have my code/algorithm published alongside the manuscript for reproducibility.

So my question is what to do? The paper is primarily a new method, but also has a bunch of case studies alongside the method that tell their own story and are relevant in their own right.

If anyone is wondering, I am in Earth Sciences/Geophysics.

I switched from Software Engineering to Machine Learning when started my PhD in France. After 3 yrs with 3 (average rank) conference papers, I finished my PhD with an on-going journal manuscript that I’m still working on it with PhD supervisor. I was struggling to get my first postdoc and got it after several months. Now it’s coming to an end with no publication after more than 1 yr, and again I’m trying hard to find the next one.

My questions are:

  1. Does the PhD topic have a significant impact on academia job opportunity afterward? I got publication and now realize that it is not in “mainstream” as postdoc jobs mostly require “mainstream knowledge”. On the other hand, it could have been harder for me to publish during PhD if I chose “mainstream” as I have had no background of it (Statistics). The lack of Statistics knowledge of a Software Engineering guy inconvenienced my 1st postdoc and my job search.

  2. How long should it take to convert a Software Engineer to Statistician?

  3. Data Science is trendy in general, but does its academia job market become more and more competitive?

I plan on applying to graduate school school soon and I’m confident the rest of my application will be pretty solid. However, I’m worried that a quant score of 160-163 will put me below the other applicants. Most have quant scores of 165+. I could break this, but I have a huge problem of making silly mistakes when under pressure and trying to keep a good pace.