If they got a statistically significant result given some alpha value, then that's a valid result, assuming the experiment itself was set up in a valid way (random sampling, controlled, double blind, etc.). Statistical significance tests take the sample size into account. A large enough difference can make up for a small sample size, and vice versa.
The Valkee company is financially backed by ex-Nokia execs and other people with money and influence in Finland. They have the means to get a small University in Northern Finland to make a study in their favor.
There have been interesting studies about light sensivity in the skin, so why not the brain. However, this study doesn't really prove anything.
Also, don't underestimate the value of placebo in the treatment of mental ailments.
Often its for a good reason for instance when looking at the effectiveness of a surgical procedure in a sub-group or the treatment for a reasonably rare condition. Sometimes it is because of the need to use a random or carefully selected bias group.
But, as a one-time criminologist's statistician used to samples in 1000s (or 100s at least), I have often concluded that it was just bad science.
It is also inconceivable that a University group like this would do that—If they did they would all be in serious trouble.
Ten out of 13 patients (76.9%) achieved full remission
Being that they used a sample of depression sufferers that is a pretty amazing result.It will be interesting to see what the double-blind survey finds.
What? It is trivially easy to find awful research from universities.
I've been involved (as a lay member of a research review panel) with university students who want to do clinical research. They come to the RRP with a proposal, and we walk through it and point out where they might have problems. It is amazing how many groups ignore things like small sample sizes or double blinding or control groups etc. Those are all basics that any student should have been aware of. And then there are the more subtle things like anonymising data or getting proper consent.
Having said all that, this news release link (http://www.prnewswire.com/news-releases/bright-light-into-th...) gives more information about methodology.
Note that they're researching SAD, which is not depression, and is rarer. Most people with depression don't show great results from light boxes.
I disagree that a team of researchers from a University of this standing that is composed like this would run study multiple times and cherry pick the dataset with the result they desire and if they did they certainly would be risking serious professional (if not criminal) damage.
The researchers are:
Markku Timonen1 M.D. Ph.D, Juuso Nissilä1, MSc.,
Heidi Jurvelin1, MSc., Anu Liettu M.D.,
Jari Jokelainen1, M.Sc., Antti Aunio MSc. ,
Pirkko Räsänen3, M.D. Ph.D., Timo Takala M.D. Ph.D.
That's a lot of doctors and doctorates, its not a bunch of inexperienced students.It's also trivially easy to find doctors who are idiots and wingnuts who believe obvious nonsense.