"The doctor and researcher John Ioannidis demonstrated that a large proportion of research findings published in scientific journals are false, in large part be

"The doctor and researcher John Ioannidis demonstrated that a large proportion of research findings published in scientific journals are false, in large part because of the reliance on the .05 threshold." Very nice article. Made me interested in statistics. I've been reading a lot of articles lately about the microbiome. There are many research papers that tie a particular gut microbe to a certain disease. For instance: V. Veillonella - Asthma L. Lachnospira - Asthma M. Rothia - Asthma C. Faecalibacterium - Asthma C. Faecalibacterium - Crohn's Disease C. Faecalibacterium - Obesity Oxalobacter formigenes - Kidney Stones Erysipelotrichaceae [Eubacterium] halii - schizophrenia [class]Betaproteobacteria - Type 2 diabetes B. Bifidobacterium - Autism I wonder now how many of these conclusions are based on the "ill-founded strategy of claiming conclusive research findings solely on the basis of a single study assessed by formal statistical significance, typically for a p-value less than 0.05." [from Ioannidis article mentioned above http://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124 http://journals.plos.org/plosmedicine/article?id=10.1371/jou...]