Displaying 6 results from an estimated 6 matches for "mb55".
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2011 Feb 24
1
accuracy of measurements
Dear R people
Could you please help with following
Trying to compare accuracy of tumor size evaluation by different
methods. So data looks like
id true metod1 method2 ...
1 2 2 2.5
2 1.5 2 2
3 2 2 2
etc.
Could you please give a hint how to deal with that.
Seems like {merror} does not suite to me because I am trying to compare
accuracy of measurements with their true known values not just
2008 Jul 05
2
Bland-Altman method to measure agreement with repeated measures
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URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20080705/878753db/attachment.pl>
2011 Sep 23
1
Correlation of variables with repeated measures.
Hello
I have a dataframe that looks like this:
Date Min Subj VAR1 VAR2 VAR3
1 8/30/2011 5min 1 34.41042 126.08490 55.3548387
2 8/30/2011 10min 1 34.53030 133.81343 61.6000000
3 8/30/2011 15min 1 34.66297 118.38193 11.8000000
4 8/30/2011 20min 1 34.82770 110.77767 6.6000000
5 8/30/2011 5min 2 36.36994 116.24861 41.2258065
6 8/30/2011 10min 2
2008 Dec 07
2
concordance correlation coefficient using R
Hi.
I have data which i would want to assess the degree of agreement
between two assays, e.g., to evaluate reproducibility or for
inter-rater reliability. I have used the Pearson product-moment
correlation coefficient. It looks good ranginging between 0.90 to
0.998. Though this looks good. I am told the Concordance correlation
coefficient will give a better picture of how reproducible the assay
2010 Aug 25
2
Comparing samples with widely different uncertainties
Hi
This is probably more of a statistics question than a specific R
question, although I will be using R and need to know how to solve the
problem in R.
I have several sets of data (ejection fraction measurements) taken in
various ways from the same set of (~400) patients (so it is paired data).
For each individual measurement I can make an estimate of the percentage
uncertainty in the
2011 Sep 20
5
help in interpreting paired t-test
Dear all;
A very basic question. I have the following data:
************************************************************************************
A <- 1/1000*c(347,328,129,122,18,57,105,188,57,257,53,108,336,163,
62,112,334,249,45,244,211,175,174,26,375,346,153,32,
89,32,358,202,123,131,88,36,30,67,96,135,219,122,
89,117,86,169,179,54,48,40,54,568,664,277,91,290,