Analyzing longitudinal data to characterize the accuracy of markers used to select treatment

Statistics in Medicine

Volumn 33, Issue 17, 2014, Pages 2881-2896

  Sitlani, Colleen M ^a   Heagerty, Patrick J ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Causal inference; Classification and prediction; Longitudinal data analysis; Treatment selection

Indexed keywords

ACCURACY; ANALYTICAL ERROR; ARTICLE; CALCULATION; CONTROLLED STUDY; DATA ANALYSIS; LONGITUDINAL STUDY; MATHEMATICAL COMPUTING; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SIMULATION; STATISTICAL ANALYSIS; CARPAL TUNNEL SYNDROME; COMPUTER SIMULATION; ELECTRODIAGNOSIS; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; STATISTICAL MODEL;

BIOLOGICAL MARKER;

BIOLOGICAL MARKERS; CARPAL TUNNEL SYNDROME; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; ELECTRODIAGNOSIS; HUMANS; LONGITUDINAL STUDIES; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PREDICTIVE VALUE OF TESTS; ROC CURVE;

EID: 84903817800     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6138     Document Type: Article

References (27)

1. Gerritsen A, deVet H, Scholten R, Bertelsmann F, deKrom M, Bouter L. Splinting vs surgery in the treatment of carpal tunnel syndrome: a randomized controlled trial. JAMA 2002; 288: 1245-1251.
2. Hui A, Wong S, Leung C, Tong P, Mok V, Poon D, Li-Tsang C, Wong L, Boet R. A randomized controlled trial of surgery vs steroid injection for carpal tunnel syndrome. Neurology 2005; 64(12):2074-2078.
3. Ly-Pen D, Andreu J, deBlas G, Sanchez-Olaso A, Millan I. Surgical decompression versus local steroid injection in carpal tunnel syndrome: a one-year, prospective, randomized, open, controlled clinical trial. Arthritis Rheum 2005; 52: 612-619.
4. Jarvik J, Comstock B, Kliot M, Turner J, Chan L, Heagerty P, Hollingworth W, Kerrigan C, Deyo R. Surgery versus non-surgical therapy for carpal tunnel syndrome: a randomised parallel-group trial. Lancet 2009; 374(9695):1074-1081.
5. Janes H, Pepe M, Bossuyt P, Barlow W. Measuring the performance of markers for guiding treatment decisions. Annals of Internal Medicine 2011; 154: 253-259.
6. Jarvik J, Comstock B, Heagerty P, Haynor D, Fulton-Kehoe D, Kliot M, Franklin G. Magnetic resonance imaging compared with electrodiagnostic studies in patients with suspected carpal tunnel syndrome: predicting symptoms, function, and surgical benefit at 1 year. Journal of Neurosurgery 2008; 108: 541-550.
7. Gunter L, Zhu J, Murphy S. Variable selection for qualitative interactions. Statistical Methodology 2011; 8(1):42-55.
8. Gail M, Simon R. Testing for qualitative interactions between treatment effects and patient subsets. Biometrics 1985; 41(2):361-372.
9. Frangakis C, Rubin D. Principal stratification in causal inference. Biometrics 2002; 58: 21-29.
10. Martin B, Levenson L, Hollingworth W, Kliot M, Heagerty P, Turner J, Jarvik J. Randomized clinical trial of surgery versus conservative therapy for carpal tunnel syndrome. BMC Musculoskeletal Disorders 2005; 6: 2.
11. Pepe M. The Statistical Evaluation of Medical Tests for Classification and Prediction, Oxford University Press: New York, 2003.
12. Sitlani C, Heagerty P, Blood E, Tosteson T. Longitudinal structural mixed models for the analysis of surgical trials with noncompliance. Statistics in Medicine 2012; 31: 1738-1760.
13. Senn S. Individual therapy: new dawn or false dawn?Drug Information Journal 2001; 35: 1479-1494.
14. Senn S. Three things that every medical writer should know about statistics. Journal of the European Medical Writers Association 2009; 18: 159-162.
15. Bellamy S, Lin J, Have TT. An introduction to causal modeling in clinical trials. Clinical Trials 2007; 4: 58-73.
16. Hsieh F, Turnbull B. Nonparametric and semiparametric estimation of the receiver operating characteristic curve. Annals of Statistics 1996; 24(1):25-40.
17. vander Vaart A. Asymptotic Statistics, Cambridge University Press: Cambridge, UK, 1998.
18. Yukich J. Weak convergence of smoothed empirical processes. Scandinavian Journal of Statistics 1992; 19(3):271-279.
19. vander Vaart A. Weak convergence of smoothed empirical processes. Scandinavian Journal of Statistics 1994; 21(4):501-504.
20. Cuevas A, Romo J. Differentiable functionals and smoothed bootstrap. Annals of the Institute of Statistical Mathematics 1997; 49(2):355-370.
21. Lange N, Ryan L. Assessing normality in random effects models. Annals of Statistics 1989; 17(2):624-642.
22. Ohlssen D, Sharples L, Spiegelhalter D. Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons. Statistics in Medicine 2007; 26: 2088-2112.
23. Ghosh P, Rosner G. A semi-parametric Bayesian approach to average bioequivalence. Statistics in Medicine 2007; 26: 1224-1236.
24. Huang Y, Gilbert P, Janes H. Assessing treatment-selection markers using a potential outcomes framework. Biometrics 2012; 68(3):687-696.
25. Simon R. Development and evaluation of therapeutically relevant predictive classifiers using gene expression profiling. Journal of the National Cancer Institute's 2006; 98(17):1169-1171.
26. Simon R. Development and validation of biomarker classifiers for treatment selection. Journal of Statistical Planning and Inference 2008; 138: 308-320.
27. Jiang W, Freidlin B, Simon R. Biomarker-adaptive threshold design: a procedure for evaluating treatment with possible biomarker-defined subset effect. Journal of the National Cancer Institute's 2007; 99(13):1036-1043.