Prognosis research ideally should measure time-varying predictors at their intended moment of use
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Richard D Riley | Rebecca Whittle | George Peat | R. Riley | K. Jordan | C. Mallen | G. Peat | Christian D Mallen | R. Whittle | Kelvin P Jordan | Kara-Louise Royle | Kara-Louise Royle
[1] Jennifer L Balfour,et al. Neighborhood environment and loss of physical function in older adults: evidence from the Alameda County Study. , 2002, American journal of epidemiology.
[2] E. Steyerberg,et al. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research , 2013, PLoS medicine.
[3] J. Coste,et al. Clinical course and prognostic factors in acute low back pain: an inception cohort study in primary care practice , 1994, BMJ.
[4] H. van Marwijk,et al. The prognosis of undetected depression in older general practice patients. A one year follow-up study. , 2009, Journal of affective disorders.
[5] D. A. van der Windt,et al. Functional outcome in older adults with joint pain and comorbidity: design of a prospective cohort study , 2011, BMC musculoskeletal disorders.
[6] K. Wardenaar,et al. DATA‐DRIVEN COURSE TRAJECTORIES IN PRIMARY CARE PATIENTS WITH MAJOR DEPRESSIVE DISORDER , 2014, Depression and anxiety.
[7] R. Deyo,et al. Back pain in primary care. Outcomes at 1 year. , 1993, Spine.
[8] Gary S Collins,et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration , 2015, Annals of Internal Medicine.
[9] D. A. van der Windt,et al. The clinical course of low back pain: a meta-analysis comparing outcomes in randomised clinical trials (RCTs) and observational studies , 2014, BMC Musculoskeletal Disorders.
[10] A. Bowling. Mode of questionnaire administration can have serious effects on data quality. , 2005, Journal of public health.
[11] M. Roland,et al. A study of the natural history of back pain. Part I: development of a reliable and sensitive measure of disability in low-back pain. , 1983, Spine.
[12] J. Allenberg,et al. Prognostic value of a low post-exercise ankle brachial index as assessed by primary care physicians. , 2011, Atherosclerosis.
[13] C. Whitney,et al. Regression to the mean in treated versus untreated chronic pain , 1992, PAIN.
[14] Douglas G. Altman,et al. Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) , 2015, Circulation.
[15] S. Dworkin,et al. Grading the severity of chronic pain , 1992, Pain.
[16] P. Croft,et al. The assessment of the prognosis of musculoskeletal conditions in older adults presenting to general practice: a research protocol , 2006, BMC musculoskeletal disorders.
[17] B. Radanov,et al. Role of psychosocial stress in recovery from common whiplash , 1991, The Lancet.
[18] C.J.H. Mann,et al. Clinical Prediction Models: A Practical Approach to Development, Validation and Updating , 2009 .
[19] J. Hilbe. Negative Binomial Regression: Preface , 2007 .
[20] P. Mäntyselkä,et al. Patients' versus general practitioners' assessments of pain intensity in primary care patients with non-cancer pain. , 2001, The British journal of general practice : the journal of the Royal College of General Practitioners.
[21] Timothy L Lash,et al. Re: "Neighborhood environment and loss of physical function in older adults: evidence from the Alameda County Study". , 2003, American journal of epidemiology.
[22] Ralf Dresner,et al. Health Measurement Scales A Practical Guide To Their Development And Use , 2016 .
[23] E. Steyerberg,et al. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research , 2013, PLoS medicine.
[24] L. Bouter,et al. Effectiveness of corticosteroid injections versus physiotherapy for treatment of painful stiff shoulder in primary care: randomised trial , 1998, BMJ.
[25] G. Collins,et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.
[26] Diane C. Calleson,et al. When race matters: disagreement in pain perception between patients and their physicians in primary care. , 2007, Journal of the National Medical Association.
[27] P. Croft,et al. Prognostic factors for musculoskeletal pain in primary care: a systematic review. , 2007, The British journal of general practice : the journal of the Royal College of General Practitioners.
[28] J. Hanley,et al. The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.
[29] M. Ferreira,et al. Back Complaints in the Elders (BACE); design of cohort studies in primary care: an international consortium , 2011, BMC musculoskeletal disorders.
[30] Richard D Riley,et al. Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes , 2013, BMJ : British Medical Journal.
[31] Gerald Gartlehner,et al. [GRADE guidelines: 8. Rating the quality of evidence - indirectness]. , 2012, Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen.
[32] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[33] L. Costa,et al. The prognosis of acute and persistent low-back pain: a meta-analysis , 2012, Canadian Medical Association Journal.
[34] M. Von Korff. Tailoring chronic pain care by brief assessment of impact and prognosis: comment on "Point-of-care prognosis for common musculoskeletal pain in older adults". , 2013, JAMA internal medicine.
[35] C. E. Davis,et al. The effect of regression to the mean in epidemiologic and clinical studies. , 1976, American journal of epidemiology.