Use of a Markov transition model to analyse longitudinal low-back pain data

Statistical Methods in Medical Research

Volumn 12, Issue 4, 2003, Pages 321-331

  Yu, Fei ^a   Morgenstern, Hal ^a,b   Hurwitz, Eric ^a,b   Berlin, Thomas R ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SOUTHERN CALIFORNIA UNIVERSITY OF HEALTH SCIENCES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; FOLLOW UP; HUMAN; INTERVIEW; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; LOW BACK PAIN; MAJOR CLINICAL STUDY; MANAGED CARE; MANIPULATIVE MEDICINE; MEDICAL CARE; OUTCOMES RESEARCH; PAIN ASSESSMENT; PHYSICAL MEDICINE; PHYSIOTHERAPY; PROBABILITY; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL; SELF REPORT; STATISTICAL ANALYSIS; STATISTICAL MODEL; TELEPHONE; TREATMENT OUTCOME;

EID: 0042061307     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1191/0962280203sm321ra     Document Type: Article

References (12)

1. Diggle PJ, Liang KY, Zeger SL. Analysis of Longitudinal Data. Oxford: Oxford University Press, 1994.
2. Ware JH, Lipstiz, S, Speizer FE. Issues in the analysis of repeated categorial outcomes. Statistics in Medicine 1988; 7: 95-108.
3. O'Neill RT, Chen CW. A statistical procedure useful in evaluation time of onset and termination of response in clinical trial. Biometrics 1978; 34: 411-20.
4. Olschewski M, Schumacher M. Statistical analysis of quality of life data in cancer clinical trials. Statistics in Medicine 1990; 9: 749-63.
5. Lindsey JK, Jones B, Ebbutt AF. Simple models for repeated ordinal responses with an application to a seasonal rhinitis clinical trial. Statistics in Medicine 1997; 16: 2873-82.
6. McCullagh P. Regression models for ordinal data. Journal of the Royal Statistical Society, Series B 1980; 42: 109-42.
7. Cox DR. Analysis of Binary Data. London: Chapman & Hall, 1970.
8. Agresti A. Categorial Data Analysis. New York: Wiley, 1990.
9. SAS Institute Inc. Logistic Regression Examples Using the SAS System, Version 6, 1st edn. Cary, NC: SAS Institute Inc., 1995.
10. Chen Z, Kuo L. A note on the estimation of the multinomial logit model with random effects. American Statistician 2001; 55: 89-95.
11. Robinson LD, Jewell NP. Some surprising results about covariate adjustment in logistic regression models. International Statistical Review 1991; 58: 227-40.
12. Ford I, Norrie J, Atimadis S. Model inconsistency, illustrated by the Cox proportional hazards model. Statistics in Medicine 1995; 14: 735-46.