Response shift in patients with multiple sclerosis: an application of three statistical techniques.
Objective: With the evolution of theory and methods for detecting recalibration, reprioritization, and reconceptualization response shifts, the time has come to evaluate and compare the current statistical detection techniques. This manuscript presents an overview of a cross-method validation done o...
| Published in: | Quality of Life Research Vol. 20; no. 10; pp. 1561 - 1573 |
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| Main Authors: | , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Dec2011
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104602791&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104602791 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Dec2011 vid: 20 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104602791 NLM22081216 2011377503 10.1007/s11136-011-0056-8 NLM22081216 104602791 ppf: 1561 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Response shift in patients with multiple sclerosis: an application of three statistical techniques. aug: au: Schwartz CE Sprangers MA Oort FJ Ahmed S Bode R Li Y Vollmer T Schwartz, Carolyn E Sprangers, Mirjam A G Oort, Frans J Ahmed, Sara Bode, Rita Li, Yuelin Vollmer, Timothy affil: DeltaQuest Foundation, Inc, Concord, MA, USA sug: subj: Multiple Sclerosis Psychosocial Factors Sickness Impact Profile Statistics Methods Adult Data Analysis, Statistical Disease Progression Factor Analysis Female Human Male Models, Theoretical Multiple Sclerosis Classification Multiple Sclerosis Physiopathology North America Data Collection Reproducibility of Results Self Report Nonparametric Statistics Adult: 19-44 years Female Male ab: Objective: With the evolution of theory and methods for detecting recalibration, reprioritization, and reconceptualization response shifts, the time has come to evaluate and compare the current statistical detection techniques. This manuscript presents an overview of a cross-method validation done on the same patient sample.Methods: Three statistical techniques were used: Structural Equation Modeling, Latent Trajectory Analysis, and Recursive Partitioning and Regression Tree modeling. The study sample (n = 3,008) was drawn from the North American Research Committee on Multiple Sclerosis (NARCOMS) Registry to represent patients soon after diagnosis, classified as having either a self-reported relapsing, progressive, or stable disease trajectory. Patient-reported outcomes included the disease-specific Performance Scales and the Patient-Derived Disease Steps, and the generic SF-12v2 measure.Results: Small response shift effect sizes were detected by all of the methods. Recalibration response shift was detected by Structural Equation Modeling, Recursive Partitioning Regression Tree demonstrated patterns consistent with all three types of response shift, and Latent Trajectory Analysis, although unable to distinguish types of response shift, did detect response shift in less than 1% of the sample.Conclusion: The methods and their findings were discussed for operationalization, interpretability, assumptions, ability to use all data points from the study sample, limitations, and strengths. Directions for future research are discussed. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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