Editing 2652: Proxy Variable
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| date = July 29, 2022 | | date = July 29, 2022 | ||
| title = Proxy Variable | | title = Proxy Variable | ||
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| titletext = Our work has produced great answers. Now someone just needs to figure out which questions they go with. | | titletext = Our work has produced great answers. Now someone just needs to figure out which questions they go with. | ||
}} | }} | ||
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==Explanation== | ==Explanation== | ||
− | + | {{incomplete|Created by a PROXY BOT IN NO WAY RELATED WITH THE ORIGINAL BOT, SO MARRIAGE WOULD BE ETHICALLY AND LEGALLY ACCEPTABLE - Please change this comment when editing this page. Do NOT delete this tag too soon.}} | |
− | Hairy is dismissing the question of whether they are studying the right variable as too expensive to answer. This is deeply ironic and thus satirical, because good {{w|experiment design}} requires sufficient attention to the robustness of all the involved parts of an experiment, even if the expense may be prohibitive. This comic might be referring to the recent discovery of [https://www.science.org/content/article/potential-fabrication-research-images-threatens-key-theory-alzheimers-disease nearly two decades] of | + | In this comic, [[Hairy]] is discussing use of a proxy variable with [[Cueball]]. In statistics, a {{w|proxy variable}} is used as a stand-in for one or more other variables that are difficult to measure. In order to be useful as such, proxy variables must be correlated with what they are intended to represent. For example, a drug might aim to reduce deaths from a slow-acting disease. But testing if it reduces deaths might take many years, so researchers might test for a proxy outcome instead, like whether it results in loss of bone density or damage to cells. Physicians use blood pressure as one of many proxies for cardiovascular health. |
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+ | Hairy is dismissing the question of whether they are studying the right variable as too expensive to answer. This is deeply ironic and thus satirical, because good {{w|experiment design}} requires sufficient attention to the robustness of all the involved parts of an experiment, even if the expense may be prohibitive. This comic might be referring to the recent discovery of [https://www.science.org/content/article/potential-fabrication-research-images-threatens-key-theory-alzheimers-disease nearly two decades] of fraudulent {{w|Alzheimer's disease}} research based on a mistaken proxy hypothesis. | ||
Choosing the wrong proxy variable might make the research misleading, irrelevant, or as the title text suggests, answer the wrong question. Separating correlation from {{w|Causality|causation}} is necessary when interpreting proxy variable results to make sure the question they answer is known. Mere correlation instead of {{w|Causal analysis|authentic causation}} yields weaker results. {{w|Exploratory causal analysis}} can assist with finding useful proxy variables, but is difficult for the layperson to interpret and can be misleading, because even if performed correctly, a {{w|combinatorial explosion}} of possible proxy variables can make traditional {{w|statistical significance}} analysis fail, requiring {{w|F-score}}s or similar measures. The history of pharmaceutical research is largely a graveyard of failed proxy hypotheses; that is one of the reasons for [https://clinicaltrials.gov/ct2/manage-recs/fdaaa experiment registration regulations.] | Choosing the wrong proxy variable might make the research misleading, irrelevant, or as the title text suggests, answer the wrong question. Separating correlation from {{w|Causality|causation}} is necessary when interpreting proxy variable results to make sure the question they answer is known. Mere correlation instead of {{w|Causal analysis|authentic causation}} yields weaker results. {{w|Exploratory causal analysis}} can assist with finding useful proxy variables, but is difficult for the layperson to interpret and can be misleading, because even if performed correctly, a {{w|combinatorial explosion}} of possible proxy variables can make traditional {{w|statistical significance}} analysis fail, requiring {{w|F-score}}s or similar measures. The history of pharmaceutical research is largely a graveyard of failed proxy hypotheses; that is one of the reasons for [https://clinicaltrials.gov/ct2/manage-recs/fdaaa experiment registration regulations.] | ||
The title text's notion of having an answer without knowing the actual question could also be be a reference to the classic comedy science fiction novel {{w|The Hitchhiker's Guide to the Galaxy|The Hitchhiker's Guide to the Galaxy}}, where in one scene Earth turns out to be a supercomputer built for the purpose of figuring out the question for the answer "42." | The title text's notion of having an answer without knowing the actual question could also be be a reference to the classic comedy science fiction novel {{w|The Hitchhiker's Guide to the Galaxy|The Hitchhiker's Guide to the Galaxy}}, where in one scene Earth turns out to be a supercomputer built for the purpose of figuring out the question for the answer "42." | ||
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==Transcript== | ==Transcript== | ||
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[[Category:Line graphs]] | [[Category:Line graphs]] | ||
[[Category:Charts]] | [[Category:Charts]] | ||
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