There’s also a common trap where "significant" is used interchangeably with "important." While this might work in everyday conversation, in the realm of statistics, "significant" has a very specific meaning—it refers to the likelihood that a result is not due to random chance. That said,...
Disciplines like statistics and epidemiology have their own special terms, some of which are unlikely to be familiar to the layman and others which are in everyday use but are understood as having a special meaning in the context of a statistical or epidemiological analysis. For example, in com...
Suppose you perform an experiment with a new drug that purportedly increases intelligence. The treatment group takes the drug, while the control group does not. After the experiment, you find that the treatment group has an average IQ that is 10 points higher than the control group. That’s ...
14. Ulteriorly, the treatment mechanisms of Betaxolol and Latanoprost on POAG were simulated respectively, and the result were consistent with the statistical data of clinical treatment. 进一步分别进行了模拟贝他洛尔和拉坦前列素对POAG状态下病理眼治疗机理的仿真实验,取得了和临床药物实验基本一致的结果。
Structuring everyday contexts for statistical treatment: The struggle for shared focusstatistical reasoningmodelingsituation modelreal modelMeaning in statistics is fundamentally related to contexts, which poses the challenge to teach statistics in contexts, taking everyday reasoning as the basis from which ...
Whenstatisticsis used with this meaning, it is a plural noun. You use the plural form of a verb with it. The statisticsaretaken from United Nations sources. Statisticsdon't necessarily prove anything. Statisticsis also the branch of mathematics dealing with these facts. ...
A term used in statistical analysis when a hypothesis is rejected. As a general rule, the non plus minimum significance level is 5%—i.e., it is said to be significant at the 5% level—which means that when the null hypothesis is true, there is only a 1-in-20 chance of rejecting it...
when there is a backbone treatment with some activity). The goal was to find a tolerable dose that improves upon this null response rate by at least 0.15: to 0.05 + 0.15 = 0.20 or 0.20 + 0.15 = 0.35, respectively. At least one such dose always exists in efficacy curve B, indicated ...
Partial pooling of information over groups in hierarchical Bayesian models In causal inference of treatment effects, saying thattheoutcome you would get if you were treated (Y^a) shouldn’t change depending on whether you are assigned the treatment (A) or not ...
billions they were going to get from sales). Most likely, the scientists (or their bosses)didn’t understand the meaning of statistically significant, because I can’t imagine they thought that hiding three cases in a sample would lead to tens of thousands of heart attacks in the population....