Help for uderstanding a sentence
English translation: 5% level= alpha (type I error) is 0.05 / / 90% power= 1- beta (type II error) is 0.10
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| 11:13 May 19, 2004 |
| English language (monolingual) [PRO] Medical - Medical: Pharmaceuticals | |||||||
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|  Selected response from: Elena Sgarbo (X) | ||||||
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| 5 +1 | Statistics: 5% level= alpha (type I error) is 0.05 / 90% power= 1- beta (type II error) is 0.10 |
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| 4 | ref. for 'power' |
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| Discussion entries: 3 | |
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Answers
43 mins confidence: 
| help for uderstanding a sentence ref. for 'power' Explanation: The ref. explains 'power' in the context of detecing small differences. -------------------------------------------------- Note added at 45 mins (2004-05-19 11:58:32 GMT) -------------------------------------------------- detecTing -------------------------------------------------- Note added at 54 mins (2004-05-19 12:07:56 GMT) -------------------------------------------------- detecTing Reference: http://www.army-itam.com/public/lm/lcta/scenar3/power.htm |
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43 mins confidence: peer agreement (net): +1
peer agreement (net): +1| help for uderstanding a sentence Statistics: 5% level= alpha (type I error) is 0.05 / 90% power= 1- beta (type II error) is 0.10 Explanation: Hi Svetozar These percentages most likely refer to the type I error (alpha) and type II error (beta), respectively, that the investigators have set beforehand for the statistical analysis of their study. By setting a statistical Alpha error at 5%, all analyzed variables that have a P value equal or lower to .05 will be "statistically significant". In this case, for the beta error, Beta= 1 - 0.90= 0.10. This means that the investigators have decided that they will accept a 10% chance (100-90) of missing an association between the variable of interest and the other variables. That is, there is a 90% chance of finding an association of that size. Hope this helps Elena -------------------------------------------------- Note added at 59 mins (2004-05-19 12:12:56 GMT) -------------------------------------------------- Svetozar, The interpretation of the sentence is what I wrote above.... it\'s a rather complex statistical concept. The way I understood it when I first studied it was by reading about type I and type II errors (and alpha and beta) in several books on Statistics. There\'s also info on the Internet... Best wishes, Elena |
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