منابع مشابه
Truth in Numbers
Along one wall of Joseph K. Haseman's office stands a floor-to-ceiling bookcase lined with identical powder blue books. These are Haseman's pride and joy: 500 technical reports representing rodent car-cinogenicity assays conducted over the past 20 years for the National Toxicology Program (NTP). As director of statistical consulting for the NIEHS, Haseman is responsible for the statistical inte...
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What type of analyses are we to expect when we read a study that attempts to measure success or failure of a specific spine procedure? Most analyses are divided into descriptive and analytical statistics, which should be clearly described in the methods section of a study. Descriptive statistics are most frequently used to provide general information about the patients and factors that may be r...
متن کاملSurprised by the Hot Hand Fallacy? A Truth in the Law of Small Numbers
We prove that a subtle but substantial bias exists in a common measure of the conditional dependence of present outcomes on streaks of past outcomes in sequential data. The magnitude of this novel form of selection bias generally decreases as the sequence gets longer, but increases in streak length, and remains substantial for a range of sequence lengths often used in empirical work. We observe...
متن کاملGenome-Based Population Clustering: Nuggets of Truth Buried in a Pile of Numbers?
National/Ethnic population Mutation databases (NEMDBs) are online mutation depositories recording extensive information about the described genetic heterogeneity in populations and ethnic groups worldwide. FINDbase (http://www.findbase.org) is a database containing causative mutations and pharmacogenomic markers allele frequencies in various populations and ethnic groups. In this paper, we expe...
متن کاملSurprised by the Gambler’s and Hot Hand Fallacies? A Truth in the Law of Small Numbers
We find a subtle but substantial bias in a standard measure of the conditional dependence of present outcomes on streaks of past outcomes in sequential data. The mechanism is driven by a form of selection bias, which leads to an underestimate of the true conditional probability of a given outcome when conditioning on prior outcomes of the same kind. The biased measure has been used prominently ...
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ژورنال
عنوان ژورنال: Environmental Health Perspectives
سال: 2000
ISSN: 0091-6765,1552-9924
DOI: 10.1289/ehp.108-a354