Biostatistics for Biomedical Research has a new section showing how to compute the sample size needed to characterize an entire distribution (e.g., all its quantiles). https://t.co/8iLuAM175K #bbrcourse @VUMCbiostat #Statistics#biostatistics#rstats
This graph of the decline effect is priceless. Poor publishing standards for "exciting" new findings followed by more rigorous research that finds much less impressive results. @vandy_biostat @VUDataScience @EdgeforScholars #bbrcourse#StatThink
Blog article about misunderstandings of the purpose and generalizeability of RCTs and what estimands are most relevant to RCTs has been extensively revised: https://t.co/I9ByHDd1sb @vandy_biostat @EdgeforScholars #ClinicalTrials
Important paper. Too often longitudinal clinical trial data are analyzed treating visits as being at discrete times instead of using the actual visit dates. https://t.co/J1VYIfpOjl @vandy_biostat @EdgeforScholars #rmscourse#Statistics#biostatistics#rct#clinicaltrial
@WeAreRLadies 3/n and this book is showing with the help of data that not all the biases has been raised from the vile intentions, its just we are so used to be in a world designed for men, we forgot to adjust the details for everyone else.
@WeAreRLadies 2/n, I consider myself a "Data person" and this book is eye opening for me, the amount of research the writer has been done is admirable. Yes, you can argue on a couple of points, but you will be having thoughts.
@Giovanni_Zurlo@WeAreRLadies Also, I am giving you base papers' of the two of the biggest childhood cancer cohort studies 1. the CCSS (American)https://t.co/1HiIKmqR5O 2. British Childhood Cancer Survivor Study https://t.co/BFDVbe6dvF.
@Giovanni_Zurlo@WeAreRLadies Hello Giovanni, thanks a lot for your question/interest, yes it is very interesting project. Here is a very brief summery of our project https://t.co/afmra1Q82i. We havent published anything yet, pretty soon we will get one.