Modelling neuromotor ratings with floor-effects

Statistics in Medicine

Volumn 23, Issue 23, 2004, Pages 3641-3653

  Gasser, Theo ^a   Rousson, Valentin ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Area under the curve; Censored regression; Linear mixed effects modelling; Ordinal data; Poor man's data augmentation; Reference curves; Truncated normal distribution

Indexed keywords

ADOLESCENT; ADULT; AGE; ALGORITHM; ARTICLE; CALCULATION; CHILD; CONTROLLED STUDY; FEMALE; GENDER; HUMAN; MALE; METHODOLOGY; MOTOR PERFORMANCE; PLOTS AND CURVES; PROBABILITY; PROBLEM SOLVING; RATING SCALE; REFERENCE VALUE; REGRESSION ANALYSIS; SEX DIFFERENCE; STATISTICAL CONCEPTS; STATISTICAL MODEL; TASK PERFORMANCE;

EID: 9244231744     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1914     Document Type: Article

References (14)

1. Largo R, Caflisch J, Hug F, Muggli K, Molnar A, Molinari L. Neuromotor development from 5 to 18 years. Part 2: associated movements. Developmental Medicine and Child Neurology 2001; 43:444-453.
2. Wei GCG, Tanner MA. Applications of multiple imputation approach to the analysis of censored regression data. Biometrics 1991; 47:1297-1309.
3. Ferrante L, Bomparde S, Cingolani ML, Leone L, Ripa S. Bioavailability study of two different formulations of azithromycin. Current Therapeutic Research - Clinical and Experimental 1996; 57 288-298.
4. Austin PC, Escobar M, Kopec JA. The use of the Tobit model for analyzing measures of health status. Quality of Life Research 2000; 9:901-910.
5. Schmee J, Hahn GJ. A simple method for regression analysis with censored data. Technometrics 1979; 21: 417-432.
6. Tanner MA, Wong WH. The calculation of posterior distributions by data augmentation. Journal of the American Statistical Association 1987; 82:528-549.
7. Rubin DB. Multiple Imputation for Nonresponse in Surveys Wiley: New York, 1987.
8. Johnson NL, Kotz S. Continuous Univariate Distributions vol. 1. Wiley: New York, 1970.
9. Harville DA, Mee RW. A mixed-model procedure for analyzing ordered categorical data. Biometrics 1984; 40:393-408.
10. Albert JH, Chib S. Bayesian analysis of binary and polychotomous response data. Journal of the American Statistical Association 1993; 88:669-679.
11. Xie MG, Simpson DG, Carroll RJ. Random effects in censored ordinal regression: Latent structure and Bayesian approach. Biometrics 2000; 56:376-383.
12. Laird NM, Ware JH. Random-effects models for longitudinal data. Biometrics 1982; 38:963-974.
13. Pan W, Connett JE. A multiple imputation approach to linear regression with clustered censored data. Lifetime Data Analysis 2001; 7:111-123.
14. McCullagh P. Regression models for ordinal data (with discussion). Journal of the Royal Statistical Society, Series B 1980; 42:109-142.