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Tag Archives: sample size
Methodolatry: An over-reliance on placebo-controlled trials
Randomized placebo-controlled trials (RCTs) are often referred to as the “gold standard” for clinical research, and they certainly are useful and powerful tools. They aren’t, however, the only reliable tools, nor are they always the best tools. Indeed, there are … Continue reading
Posted in Nature of Science, Vaccines/Alternative Medicine
Tagged anti vaccine arguments, peer-reviewed studies, Safety, sample size, Vaccines
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Most scientific studies are wrong, but that doesn’t mean what you think it means
When faced with scientific studies that disagree with them, many people are prone to claim that they don’t have to accept those studies because most scientific studies are actually wrong. They generally try to support this claim by either citing … Continue reading
Basic statistics part 4: understanding P values
If you’ve ever read a scientific paper, you’ve probably seen a statement like, “There was a significant difference between the groups (P = 0.002)” or “there was not a significant correlation between the variables (P = 0.1138),” but you may … Continue reading
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections
In previous posts, I have explained the importance of having lots of data, but what I failed to mention was the dangers of analyzing these large data sets. You see, all real data has variation in it, and when you … Continue reading
Posted in Nature of Science
Tagged evaluating evidence, peer-reviewed studies, sample size, statistics
2 Comments
Basic Statistics Part 1: The Law of Large Numbers
Statistics are a fundamental and vital component of science, and a good grasp of statistics is absolutely essentially if you want to be able to understand scientific results. Nevertheless, the vast majority of people have little or no knowledge of … Continue reading
Posted in Nature of Science
Tagged sample size, statistics
Comments Off on Basic Statistics Part 1: The Law of Large Numbers
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