Blood transfusions lower the immune response – a known fact although not all doctors are aware of it. It is therefore nice to see that two new articles in JBJS that focus on the subject. Both focus on arthroplasties where the impact of an infection due to a lowered immune response can be catastrophic to the individual. Continue reading
In order to celebrate my Gmisc-package being on CRAN I decided to pimp up the
forestplot2 function. I had a post on this subject and one of the suggestions I got from the comments was the ability to change the default box marker to something else. This idea had been in my mind for a while and I therefore put it into practice. Continue reading
Is Kukkonen et. al.’s RCT the end of our love for the rotator cuff tear? The industry surrounding rotator cuff tears costs in the US alone about $3 billion every year, earning a top position among common orthopaedic procedures. I have previously written about my doubts concerning this procedure and it is with some satisfaction that I dive in to this recent study by Kukkonen et. al.
It is better to have loved and lost, than never to have loved at all.
Alfred Lord Tennyson
Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. There has been plenty of feedback and interest for the series, and in this post I would like to provide (1) a brief summary and (2) an example showing how to put all the pieces together. Continue reading
Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. While illustrations (previous post) are optional, tables are not, and this fourth article is therefore devoted to tables. Tables through knitr is probably one of the most powerful fast-track publishing tools, in this article I will show (1) how to quickly generate a descriptive table, (2) how to convert your regression model into a table, and (3) worth knowing about table design and anatomy. Continue reading
Fast-track publishing using knitr is a short series on how I use knitr to speedup publishing in my research. This is the third article in the series devoted to plots. Hopefully you will through this post have the need-to-know stuff so that you can (1) add auto-numbering to your figures, (2) decide on image formats, (3) choose image resolution, and (4) get anti-aliasing working. Continue reading
Fast-track publishing using knitr is a short is a short series on how I use knitr to get my articles faster published. This is part II where I will show how you can tweak RStudio into producing seamless MS Word-integration by using the .RProfile together with CSS, a few basics about HTML that might be good to know, and lastly some special characters that can be useful. In the previous post, part I, I explained some of the more general concepts behind fast-track publishing and why I try to get my manuscript into MS Word instead of using LaTeX or other alternatives. Continue reading
Fast-track publishing using knitr is a short series on how I use knitr to get my articles faster published. By fast-track publishing I mean eliminating as many of the obstacles as possible during the manuscript phase, and not the fast-track some journals offer. In this first introductory article I will try to (1) define the main groups of obstacles I have experienced motivating knitr, (2) options I’ve used for extracting knitted results into MS Word. The emphasis will be on general principles and what have worked for me. Continue reading
Displaying large regression models without overwhelming the reader can be challenging. I believe that forestplots are amazingly well suited for this. The plot gives a quick understanding of the estimates position in comparison to other estimates, while also showcasing the uncertainty. This project started with some minor tweaks to prof. Thomas Lumleys forestplot and ended up in a complete remake of the function. In this post I’ll show you how to tame the plot using data from my latest article. Continue reading
I recently stumbled upon one of the most interesting articles in a while. Albert et al. questioned the long-standing theory behind low back pain by doing a double-blind randomized clinical controlled trial. They randomized patients to antibiotics or placebo for 100 days and found an impressive effect on pain and other outcomes in the treatment group. Continue reading