In meta-analysis, it is common to talk about random- and fixed-effect models. This can get pretty confusing, because fixed- and random-effects models exist outside meta-analysis as well. As a result, there is a short and a long answer to this…

In meta-analysis, it is common to talk about random- and fixed-effect models. This can get pretty confusing, because fixed- and random-effects models exist outside meta-analysis as well. As a result, there is a short and a long answer to this…

Meta-analysis is the statistical aggregation of data from a number of studies in order to answer a question. As an example, when considering the efficacy of a treatment, one may pool the results of multiple trials comparing the treatment to…

Meta-analysis is the statistical aggregation and analysis of data from multiple studies. When the studies included are properly selected and the data are aggregated appropriately, it uses more of the available information than a single study and so should be…

R is a commonly used piece of statistical software. It’s free, it’s flexible, and it has a huge user community. When you first experience success in using it, you will be amazed by what can be done with a piece…

Bayesian
Big Data
bootstrapping
BRugs
caffeine
coding
disease modelling
ebola
effect size
geographic information systems (GIS)
graphing
health economics
indirect treatment comparisons
JAGS
jawbone
Linux
meta-analysis
mixed treatment comparisons
network meta-analysis
NICE
OpenBUGS
opportunity cost
public health
QALY
R
sleep
statistics
thresholds
utility
wearables
WinBUGS

© 2019
Monkeyglandin

Responsive Theme
powered by
WordPress

Top

## Why are drugs so disappointing?

No, this isn’t an extended post about reefer madness. It’s about that horrible gap between the excitement of a new therapy for an illness, and the results that eventually come out years later. One of my main interests is in…