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Exposure-Response Modeling
book

Exposure-Response Modeling

by Jixian Wang
July 2015
Intermediate to advanced content levelIntermediate to advanced
351 pages
10h 2m
English
Chapman and Hall/CRC
Content preview from Exposure-Response Modeling
40 Exposure-Response Modeling: Methods and Practical Implementation
Data: theo
AIC BIC logLik deviance REMLdev
6788 6836 -3383 6808 6766
Random effects:
Groups Name Variance Std.Dev.
ID (Intercept) 1541.5 39.262
Residual 7252.2 85.160
Number of obs: 574, groups: ID, 153
Fixed effects:
Estimate Std. Error t value
(Intercept) 192.7639 27.0525 7.126
THEO 3.1088 0.4957 6.271
AGE -1.5694 0.3543 -4.429
WT 0.7961 0.3310 2.405
factor(SEX)1 35.7653 11.1587 3.205
factor(RACE)1 29.3233 17.4045 1.685
factor(RACE)2 -8.0572 19.3195 -0.417
factor(DIAG)2 -73.0507 17.7482 -4.116
factor(DIAG)3 19.2605 38.7723 0.497
The covariates are coded as Sex: Male = 1 Female = 0; Race: Caucasian =
1, Polynesian = 2, Other = 3 a nd Diag(diagnosis): Asthma = 1, COPD = 2,
Asthma + COPD = 3.
The ...
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Publisher Resources

ISBN: 9781466573215