Glossary entry (derived from question below)
Oct 14, 2010 05:22
13 yrs ago
Russian term
р
Russian to English
Other
Mathematics & Statistics
clinical trials
I have a table which shows changes in things like weight and blood pressure in patients taking a certain drug. The first column is headed "дунамика на фоне DRUG X". It gives a figure followed by the standard variation (+/-).
The second column is simply headed "р" and gives figures like 0.22.
Is this р actually an English "r" = regression, correlation? How is this value usually written in Russian?
Many thanks!
The second column is simply headed "р" and gives figures like 0.22.
Is this р actually an English "r" = regression, correlation? How is this value usually written in Russian?
Many thanks!
Proposed translations
(English)
4 +3 | p-значение | Igor_2006 |
4 | =результат (показатель) | Maria Sometti (Anishchankava) |
5 -1 | уровень значимости | Shonichev |
4 | probability (reliability of differences) | Michael Kislov |
Proposed translations
+3
2 mins
Selected
p-значение
показатель достоверности статистического различия
--------------------------------------------------
Note added at 3 мин (2010-10-14 05:26:30 GMT)
--------------------------------------------------
p-value, of course
--------------------------------------------------
Note added at 57 мин (2010-10-14 06:20:08 GMT)
--------------------------------------------------
So Russians use the English letter for this? Is this standard? - Yes!
Please, see:
http://tinyurl.com/38t4csl
--------------------------------------------------
Note added at 3 мин (2010-10-14 05:26:30 GMT)
--------------------------------------------------
p-value, of course
--------------------------------------------------
Note added at 57 мин (2010-10-14 06:20:08 GMT)
--------------------------------------------------
So Russians use the English letter for this? Is this standard? - Yes!
Please, see:
http://tinyurl.com/38t4csl
Note from asker:
So Russians use the English letter for this? Is this standard? Thanks! |
4 KudoZ points awarded for this answer.
Comment: "Thanks. P-value it is then."
1 hr
=результат (показатель)
.
-1
2 hrs
уровень значимости
уровень значимости (в статистике)
--------------------------------------------------
Note added at 2 hrs (2010-10-14 07:52:43 GMT)
--------------------------------------------------
In Russian it is also written p (Englis letter pee).
--------------------------------------------------
Note added at 2 hrs (2010-10-14 07:52:43 GMT)
--------------------------------------------------
In Russian it is also written p (Englis letter pee).
Peer comment(s):
disagree |
IL_ELSE
: Уровень значимости - фиксированная величина для теста. В приведенной вами ссылке используется "пи-величина" - вот она то здесь и есть.
13 mins
|
1 day 16 hrs
probability (reliability of differences)
В большинстве работ авторы не раскрывают наименование и смысл величины «р» и выражения «р <», видимо полагая, что читатели вполне однозначно могут их интерпретировать. Между тем, величина «р» (от латинского Probability – вероятность) может иметь разный смысл. В некоторых работах отмечается путаница этих смыслов, что свидетельствует о том, что авторы этих работ не видят принципиальной разницы между ними. В частности, если часть авторов, исходя из контекста, подразумевает под «р» уровень значимости, то другие понимают под «р» доверительную вероятность. Например, на стр. 30 «Вестника РАМН» №9 за 1995 г. в примечании к таблице 1, читаем: «Примечание: * – t = 2,18; p = 0,971; ** – t = 2,85; p = 0,995; *** – t = 2,16; p = 0,999». Можно догадываться, что видимо в данном контексте под величиной «р» авторы подразумевают доверительную вероятность. Однако такая очевидность имеется не всегда.
http://n-t.ru/tp/in/dpl04.htm
--------------------------------------------------
Note added at 1 day16 hrs (2010-10-15 22:02:02 GMT)
--------------------------------------------------
So, you should just leave "p".
--------------------------------------------------
Note added at 1 day16 hrs (2010-10-15 22:03:32 GMT)
--------------------------------------------------
Essentially, the problem is that an inferential statistic like the two-sample t-test is designed to tell us the probability that the means of the two samples are significantly different at a certain significance level. For example, if two samples of 17 men and 17 women had means of 18.5 and 14.5, respectively, and standard deviations of 2.5 and 3.5, respectively, we might want to find out if the observed difference is just a chance fluctuation or is a significant difference at say p < .05 (i.e., with a probability of 5%). In this case, we might use an independent samples t-test to investigate this issue, and it would turn out that t = 3.83, which is indeed significant at p < .05. Thus we can say there is only a 5% probability that the difference between the means for men and women reported here occurred by chance (for more on this calculation, see Brown & Rodgers, 2002, pp. 205-210).
http://jalt.org/test/bro_27.htm
http://n-t.ru/tp/in/dpl04.htm
--------------------------------------------------
Note added at 1 day16 hrs (2010-10-15 22:02:02 GMT)
--------------------------------------------------
So, you should just leave "p".
--------------------------------------------------
Note added at 1 day16 hrs (2010-10-15 22:03:32 GMT)
--------------------------------------------------
Essentially, the problem is that an inferential statistic like the two-sample t-test is designed to tell us the probability that the means of the two samples are significantly different at a certain significance level. For example, if two samples of 17 men and 17 women had means of 18.5 and 14.5, respectively, and standard deviations of 2.5 and 3.5, respectively, we might want to find out if the observed difference is just a chance fluctuation or is a significant difference at say p < .05 (i.e., with a probability of 5%). In this case, we might use an independent samples t-test to investigate this issue, and it would turn out that t = 3.83, which is indeed significant at p < .05. Thus we can say there is only a 5% probability that the difference between the means for men and women reported here occurred by chance (for more on this calculation, see Brown & Rodgers, 2002, pp. 205-210).
http://jalt.org/test/bro_27.htm
Something went wrong...