correlation and causation造句
例句与造句
- :: : : Malleus, correlation and causation are not the same thing.
- Note the distinction between correlation and causation.
- The first is that correlation and causation are different things, and one doesn't neccessarily imply the other.
- The idea that correlation and causation are connected is certainly true; where there is causation, there is a likely correlation.
- :: : : : I certainly know the difference between correlation and causation ( and did long before Wikipedia existed ).
- It's difficult to find correlation and causation in a sentence. 用correlation and causation造句挺难的
- It is not the same thing as simple cataloging, or of simple unmethodological observation with willy-nilly confusion of correlation and causation.
- At a societal level, the two have moved in the opposite direction recently ( but remember the dictum about correlation and causation ).
- He called the numbers " a classic example of the confusion between correlation and causation " and pointed to a similar correlation with whether a city's name ended in a vowel or consonant.
- Anyway, I wasn't trying to say that correlation and causation have nothing to do with each other, just that without really studying something closely, seeing a correlation does not tell you what the causation is.
- These strike many of us as being classic examples of File Drawer Effect, Data dredging and a failure to differentate between correlation and causation however some editors who focus almost exclusivey on TM articles have claimed that there are " peer reviewed studies " demonstrating a causal link between TM and various phenomena.
- One might argue about correlation and causation here-are they being actively discouraged in some manner-are they being passively left out in some manner-or are they simply less interested in those subjects for some reason of genetic pre-disposition-or are they ( perhaps ) actually less good at it?
- Post-marketing surveillance of drugs is important, and is difficult again because you are back to doing epidemiological studies that are not controlled, and it is hard to determine whether problems that arise in the population taking the drug ( who are sick ! ) are caused by the drug or not ( the correlation and causation problem ).