Statistical evaluation of the regulatory guidelines for use of furosemide in race horses

Biometrics

Volumn 57, Issue 1, 2001, Pages 294-301

  Chu, Karin K ^a   Wang, Naisyin ^a   Stanley, Scott ^b   Cohen, Noah D ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bootstrap; Global two stage estimation; Importance sampling; Nonlinear mixed effect model

Indexed keywords

BOOTSTRAP; FUROSEMIDES; GLOBAL TWO-STAGE ESTIMATION; MIXED EFFECTS MODELS; NONLINEAR MIXED EFFECT MODEL; NONLINEAR MIXED EFFECTS; PERFORMANCE; REGULATORY GUIDELINES; STATISTICAL EVALUATION; TWO-STAGE ESTIMATIONS;

IMPORTANCE SAMPLING;

FUROSEMIDE;

DATA ANALYSIS; HORSE; NONHUMAN; NONLINEAR SYSTEM; REVIEW; STATISTICAL ANALYSIS; VETERINARY MEDICINE;

EQUIDAE; EQUUS CABALLUS;

EID: 0035108355     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00294.x     Document Type: Review

References (15)

1. The multivariate skew-normal distribution
2. Estimating population kinetics
3. Prediction and tolerance intervals with transformation and/or weighting
4. The effect of estimating weights in weighted least squares
5. Variance function estimation
6. The effects of submaximal exercise on the pharmacokinetics of furosemide in horses
7. Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters
8. Nonparametric maximum likelihood estimation of a mixing distribution
9. The Bayesian analysis of population pharmacokinetic models
10. A note on covariate measurement error in nonlinear mixed effects models
11. Bootstrap-adjusted calibration confidence intervals for immunoassay