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Identifying Treatment Effect Modifiers in the STarT Back Trial: A Secondary AnalysisA comparison of three clustering methods for finding subgroups in MRI, SMS or clinical data: SPSS TwoStep Cluster analysis, Latent Gold and SNOB.Iliotibial band syndrome in runners: a systematic review.Indicating spinal joint mobilisations or manipulations in patients with neck or low-back pain: protocol of an inter-examiner reliability study among manual therapists.How can latent trajectories of back pain be translated into defined subgroups?Clustering patients on the basis of their individual course of low back pain over a six month period.Predicting response to a cognitive-behavioral approach to treating low back pain: Secondary analysis of the BeST data set.Movement control exercise versus general exercise to reduce disability in patients with low back pain and movement control impairment. A randomised controlled trial.Matching patients to an intervention for back pain: classifying patients using a latent class approach.Translation and discriminative validation of the STarT Back Screening Tool into Danish.Addressing preference heterogeneity in public health policy by combining Cluster Analysis and Multi-Criteria Decision Analysis: Proof of Method.German Translation and Cross-Cultural Adaptation of the STarT Back Screening ToolEffectiveness of mechanical diagnosis and therapy in patients with back pain who meet a clinical prediction rule for spinal manipulationCould the clinical interpretability of subgroups detected using clustering methods be improved by using a novel two-stage approach?Low back pain subgroups using fear-avoidance model measures: results of a cluster analysisA health care system in transformation: making the case for chiropractic.Older Age and Leg Pain Are Good Predictors of Pain and Disability Outcomes in 2710 Patients Who Receive Lumbar FusionDifferent minimally important clinical difference (MCID) scores lead to different clinical prediction rules for the Oswestry disability index for the same sample of patientsAn evidence-based diagnostic classification system for low back painFuture directions in painful knee osteoarthritis: harnessing complexity in a heterogeneous population.Psychological Predictors of Outcomes with Lumbar Spinal Fusion: A Systematic Literature Review.Analysis of Patient Outcomes Using the MyoKinesthetic System for the Treatment of Low Back Pain: A Case Series.Prognostic factors for short-term improvement in acute and persistent musculoskeletal pain consulters in primary care.When the wind goes out of the sail - declining recovery expectations in the first weeks of back pain.Is osteoarthritis one disease or a collection of many?When Matching Fails: Understanding the Process of Matching Pain-Disability Treatment to Risk Profile.Identifying Subgroups of Patients With Chronic Nonspecific Low Back Pain Based on a Multifactorial Approach: Protocol For a Prospective Study.Prognostic factors of a favorable outcome following a supervised exercise program for soldiers with sub-acute and chronic low back pain.Prediction of healthcare utilization following an episode of physical therapy for musculoskeletal pain
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Research methods for subgrouping low back pain.
@ast
Research methods for subgrouping low back pain.
@en
type
label
Research methods for subgrouping low back pain.
@ast
Research methods for subgrouping low back pain.
@en
prefLabel
Research methods for subgrouping low back pain.
@ast
Research methods for subgrouping low back pain.
@en
P2860
P356
P1476
Research methods for subgrouping low back pain.
@en
P2093
Jennifer L Keating
P2860
P2888
P356
10.1186/1471-2288-10-62
P577
2010-07-03T00:00:00Z
P5875
P6179
1025932911