Analysis of longitudinal randomized clinical trials using item response models

Contemporary Clinical Trials

Volumn 30, Issue 2, 2009, Pages 158-170

  Glas, Cees A W ^a   Geerlings, Hanneke ^a   van de Laar, Mart A F J ^a   Taal, Erik ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Health related quality of life; Item response theory; Marginal maximum likelihood estimation; Patient relevant outcomes; Plausible value imputation; Questionnaires

Indexed keywords

ARTICLE; CLINICAL TRIAL; COMPARATIVE STUDY; DATA ANALYSIS; EXPERIMENT; LONGITUDINAL STUDY; MODEL; RANDOMIZED CONTROLLED TRIAL; HUMAN; QUALITY OF LIFE; QUESTIONNAIRE; RANDOMIZED CONTROLLED TRIAL (TOPIC); SAMPLE SIZE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; QUALITY OF LIFE; QUESTIONNAIRES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SAMPLE SIZE;

EID: 60249088031     PISSN: 15517144     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cct.2008.12.003     Document Type: Article

References (37)

1. ten Klooster P.M., Drossaers-Bakker K.W., Taal E., and van de Laar M. Patient-perceived satisfactory improvement (PPSI): interpreting meaningful change in pain from the patient's perspective. Pain 121 (2006) 151-157
2. Weisscher N., Post B., de Haan R.J., Glas C.A.W., Speelman J.D., and Vermeulen M. The AMC linear disability score in patients with newly diagnosed Parkinson disease. Neurology 69 (2007) 2155-2161
3. van Schoor N.M., Knol D.L., Glas C.A.W., et al. Development of the Qualeffo-31, an osteoporosis-specific quality of life questionnaire. Osteoporos Int 17 (2006) 543-551
4. In: Wainer H. (Ed). Computerized adaptive testing: A primer (1990), Lawrence Erlbaum Associates, Hillsdale, NJ
5. Mislevy R.J. Estimation of latent group effects. J Am Stat Assoc 80 (1985) 993-997
6. Fox J.P., and Glas C.A.W. Bayesian estimation of a multilevel IRT model using Gibbs sampling. Psychometrika 66 (2001) 271-288
7. Mislevy R.J. Randomization-based inference about latent variables from complex samples. Psychometrika 56 (1991) 177-196
8. Zimowski M.F., Muraki E., Mislevy R.J., and Bock R.D. Bilog MG: Multiple-Group IRT Analysis and Test Maintenance for Binary Items (1996), Scientific Software International, Inc, Chicago, IL
9. Thissen D., Chen W.H., and Bock R.D. Multilog (2003), Scientific Software International, Lincolnwood, IL
10. Muraki E., and Bock R.D. PARSCALE: Parameter scaling of rating data (2002), Scientific Software, Inc, Chicago, IL
11. Holman R., Glas C.A.W., and de Haan R.J. Power analysis in randomized clinical trials based on item response theory. Control Clin Trials 24 (2003) 390-410
12. Cohen J. Statistical power analysis for the behavioral sciences (1988), Erlbaum, Hillsdale, NJ
13. Muraki E. A generalized partial credit model: application of an EM algorithm. Appl Psychol Meas 16 (1992) 159-176
14. Masters G.N. A Rasch model for partial credit scoring. Psychometrika 47 (1982) 149-174
15. Birnbaum A. Some latent trait models and their use in inferring an examinee's ability. In: Lord F.M., and Novick M.R. (Eds). Statistical theories of mental test scores (1968), Addison-Wesley, Reading, MA 397-479
16. Rasch G. Probabilistic models for some intelligence and attainment tests (1960), Danish Institute for Educational Research, Copenhagen
17. Goldstein H. Multilevel mixed linear models analysis using iterative generalized least squares. Biometrika 73 (1986) 43-56
18. Bryk A.S., and Raudenbush S.W. Hierarchical Linear Models (1992), Sage, London
19. Mislevy R.J., and Bock R.D. A hierarchical item-response model for educational testing. In: Bock R.D. (Ed). Multilevel analysis of educational data (1989), Academic Press, San Diego
20. McDonald R.P. Normal-ogive multidimensional model. In: van der Linden W.J., and Hambleton R.K. (Eds). Handbook of modern item response theory (1997), Springer, New York, NJ 257-269
21. Bock R.D., and Aitkin M. Marginal maximum likelihood estimation of item parameters: an application of an EM-algorithm. Psychometrika 46 (1981) 443-459
22. Bock R.D., Gibbons R.D., and Muraki E. Full-information factor analysis. Appl Psychol Meas 12 (1988) 261-280
23. Glas C.A.W., and Hendrawan I. Testing linear models for ability parameters in item response models. Multivariate Behav Res 40 (2005) 25-51
24. te Marvelde J.M., Glas C.A.W., van Landeghem G., and Van Damme J. Application of multidimensional IRT models to longitudinal data. Educ Psychol Meas 66 (2006) 5-34
25. Mislevy R.J., Johnson E.G., and Muraki E. Scaling procedures in NAEP. J Educ Stat 17 (1992) 131-154
26. Thomas N., and Gan N. Generating multiple imputations for matrix sampling data with item response models. J Educ Behav Stat 22 (1997) 425-445
27. Gelfand A.E., and Smith A.F.M. Sampling-based approaches to calculating marginal densities. J Am Stat Assoc 85 (1990) 398-409
28. Tanner M.A. Tools for statistical inference (1993), Springer, New York, NJ
29. Glas C.A.W., and Dagohoy A.V.T. A student fit test for IRT models for polytomous items. Psychometrika 72 (2007) 159-180
30. van Lankveld W., van 't Pad Bosch P., van de Putte L., van der Staak C., and Näring G. Pijn bij reumatoïde artritis gemeten met de visuele analoge schaal en de Nederlandse versie van de McGill pain questionnaire. Ned Tijdschr Geneeskd 136 (1992) 1166-1170
31. Wolfe F., Smythe H.A., Yunus M.B., et al. The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. Report of the multicenter criteria committee. Arthritis Rheum 33 (1990) 160-172
32. Jacobs J.W.G., Geenen R., van der Heide A., Rasker J.J., and Bijlsma J.W.J. Are tender point scores by manual palpation reliable? An investigation into the variance of tender point scores. Scand J Rheumatol 24 (1995) 243-247
33. Zijlstra T.R., van de Laar M.A.F.J., Moens H.J.B., Taal E., Zakraoui L., and Rasker J.J. Spa treatment for primary fibromyalgia syndrome: a combination of thalassotherapy, exercise and patient education improves symptoms and quality of life. Rheumatology 44 (2005) 539-546
34. Glas C.A.W. Detection of differential item functioning using Lagrange multiplier tests. Stat Sin 8 (1998) 647-667
35. Glas C.A.W. Modification indices for the 2-pl and the nominal response model. Psychometrika 64 (1999) 273-294
36. Glas C.A.W., and Verhelst N.D. Testing the Rasch model. In: Fischer G.H., and Molenaar I.W. (Eds). Rasch models: foundations, recent developments and applications (1995), Springer, New York, NJ 69-96
37. Fuller W.A. Measurement Error Models (1987), Wiley, New York, NJ