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st: Use of conccord and sdline for Model II Regression
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Subject
st: Use of conccord and sdline for Model II Regression
Date
Sat, 10 Nov 2012 9:34:16 -0500
Hello Statalisters:
I am beginning an project that requires regression analysis of parameters
that are measured with error. Specifically, this project involves
evaluating data from an ecological monitoring program which means that
all the data collected is measured and therefore has associated error.
Based on this it seems appropriate to use a Model II regression analysis.
I have searched both the help and Statalist files and I cannot find a
built-in Stata routine specific for Model II regressions. However, I did
find two user created programs, concord and sdline that may be appropriate:
-sdline- a scatter plot and fit line for reduce major axis analysis
-concord- a user created program that produces the reduced major axis
slope and intercept as depicted below.
. concord so4norm phaireq (these are just dummy variable for example
purposes only)
Concordance correlation coefficient (Lin, 1989, 2000):
rho_c SE(rho_c) Obs [ 95% CI ] P CI type
---------------------------------------------------------------
0.009 0.005 1929 0.000 0.019 0.042 asymptotic
0.000 0.019 0.042 z-transform
Pearson's r = 0.046 Pr(r = 0) = 0.042 C_b = rho_c/r = 0.205
Reduced major axis: Slope = 1.179 Intercept = -3.398
Difference = so4norm - phaireq
Difference 95% Limits Of Agreement
Average Std Dev. (Bland & Altman, 1986)
---------------------------------------------------------------
-2.317 1.159 -4.588 -0.045
Correlation between difference and mean = 0.163
Bradley-Blackwood F = 3984.600 (P = 0.00000)
My specific question is:
Are the -concord- and -sdline- user created programs which address
reduced major axis analysis, all that is available for Model II
regressions within Stata and if not, what other routines are available
that I did not see in searching the archives?
I am using Stata/IC 11.2 and I run this on the Windows 7 operating system.
Thank you for your consideration of this matter.
Toby Michelena
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