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Results: 1 to 20 of 125

1.

Analyzing repeated data collected by mobile phones and frequent text messages. An example of low back pain measured weekly for 18 weeks.

Axén I, Bodin L, Kongsted A, Wedderkopp N, Jensen I, Bergström G.

BMC Med Res Methodol. 2012 Jul 23;12:105. doi: 10.1186/1471-2288-12-105.

PMID:
22824413
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

The use of weekly text messaging over 6 months was a feasible method for monitoring the clinical course of low back pain in patients seeking chiropractic care.

Axén I, Bodin L, Bergström G, Halasz L, Lange F, Lövgren PW, Rosenbaum A, Leboeuf-Yde C, Jensen I.

J Clin Epidemiol. 2012 Apr;65(4):454-61. doi: 10.1016/j.jclinepi.2011.07.012. Epub 2011 Dec 9.

PMID:
22169083
[PubMed - indexed for MEDLINE]
3.

Feasibility of using short message service to collect pain outcomes in a low back pain clinical trial.

Macedo LG, Maher CG, Latimer J, McAuley JH.

Spine (Phila Pa 1976). 2012 Jun 1;37(13):1151-5. doi: 10.1097/BRS.0b013e3182422df0.

PMID:
22146289
[PubMed - indexed for MEDLINE]
4.

Applying sample survey methods to clinical trials data.

LaVange LM, Koch GG, Schwartz TA.

Stat Med. 2001 Sep 15-30;20(17-18):2609-23.

PMID:
11523072
[PubMed - indexed for MEDLINE]
5.

Mobile phone messaging for facilitating self-management of long-term illnesses.

de Jongh T, Gurol-Urganci I, Vodopivec-Jamsek V, Car J, Atun R.

Cochrane Database Syst Rev. 2012 Dec 12;12:CD007459. doi: 10.1002/14651858.CD007459.pub2. Review.

PMID:
23235644
[PubMed - indexed for MEDLINE]
6.

Clustering patients on the basis of their individual course of low back pain over a six month period.

Axén I, Bodin L, Bergström G, Halasz L, Lange F, Lövgren PW, Rosenbaum A, Leboeuf-Yde C, Jensen I.

BMC Musculoskelet Disord. 2011 May 17;12:99. doi: 10.1186/1471-2474-12-99.

PMID:
21586117
[PubMed - indexed for MEDLINE]
Free PMC Article
7.

Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection.

Horvath T, Azman H, Kennedy GE, Rutherford GW.

Cochrane Database Syst Rev. 2012 Mar 14;3:CD009756. doi: 10.1002/14651858.CD009756. Review.

PMID:
22419345
[PubMed - indexed for MEDLINE]
8.

[Meta-analysis of the Italian studies on short-term effects of air pollution].

Biggeri A, Bellini P, Terracini B; Italian MISA Group.

Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

PMID:
11515188
[PubMed - indexed for MEDLINE]
9.

Impact of the 1990 Hong Kong legislation for restriction on sulfur content in fuel.

Wong CM, Rabl A, Thach TQ, Chau YK, Chan KP, Cowling BJ, Lai HK, Lam TH, McGhee SM, Anderson HR, Hedley AJ.

Res Rep Health Eff Inst. 2012 Aug;(170):5-91.

PMID:
23316618
[PubMed - indexed for MEDLINE]
10.

Text messaging data collection for monitoring an infant feeding intervention program in rural China: feasibility study.

Li Y, Wang W, van Velthoven MH, Chen L, Car J, Rudan I, Zhang Y, Wu Q, Du X, Scherpbier RW.

J Med Internet Res. 2013 Dec 4;15(12):e269. doi: 10.2196/jmir.2906.

PMID:
24305514
[PubMed - indexed for MEDLINE]
Free PMC Article
11.

Mobile phone messaging for preventive health care.

Vodopivec-Jamsek V, de Jongh T, Gurol-Urganci I, Atun R, Car J.

Cochrane Database Syst Rev. 2012 Dec 12;12:CD007457. doi: 10.1002/14651858.CD007457.pub2. Review.

PMID:
23235643
[PubMed - indexed for MEDLINE]
12.

Using few and scattered time points for analysis of a variable course of pain can be misleading: an example using weekly text message data.

Axén I, Bergström G, Bodin L.

Spine J. 2014 Aug 1;14(8):1454-9. doi: 10.1016/j.spinee.2013.08.035. Epub 2013 Nov 5.

PMID:
24200405
[PubMed - in process]
13.

Missing data and imputation: a practical illustration in a prognostic study on low back pain.

Vergouw D, Heymans MW, van der Windt DA, Foster NE, Dunn KM, van der Horst HE, de Vet HC.

J Manipulative Physiol Ther. 2012 Jul;35(6):464-71. doi: 10.1016/j.jmpt.2012.07.002.

PMID:
22964020
[PubMed - indexed for MEDLINE]
14.

Using text messaging to assess adolescents' health information needs: an ecological momentary assessment.

Schnall R, Okoniewski A, Tiase V, Low A, Rodriguez M, Kaplan S.

J Med Internet Res. 2013 Mar 6;15(3):e54. doi: 10.2196/jmir.2395.

PMID:
23467200
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Comparison of two different approaches for the analysis of data from a prospective cohort study: an application to work related risk factors for low back pain.

Hoogendoorn WE, Bongers PM, de Vet HC, Twisk JW, van Mechelen W, Bouter LM.

Occup Environ Med. 2002 Jul;59(7):459-65.

PMID:
12107294
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

Which prognostic factors for low back pain are generic predictors of outcome across a range of recovery domains?

Cook CE, Learman KE, O'Halloran BJ, Showalter CR, Kabbaz VJ, Goode AP, Wright AA.

Phys Ther. 2013 Jan;93(1):32-40. doi: 10.2522/ptj.20120216. Epub 2012 Aug 9.

PMID:
22879443
[PubMed - indexed for MEDLINE]
Free Article
17.

Discographic, MRI and psychosocial determinants of low back pain disability and remission: a prospective study in subjects with benign persistent back pain.

Carragee EJ, Alamin TF, Miller JL, Carragee JM.

Spine J. 2005 Jan-Feb;5(1):24-35.

PMID:
15653082
[PubMed - indexed for MEDLINE]
18.

The prognosis of low back pain in general practice.

van den Hoogen HJ, Koes BW, Devillé W, van Eijk JT, Bouter LM.

Spine (Phila Pa 1976). 1997 Jul 1;22(13):1515-21.

PMID:
9231972
[PubMed - indexed for MEDLINE]
19.

One-year prognosis in sick-listed low back pain patients with and without radiculopathy. Prognostic factors influencing pain and disability.

Jensen OK, Nielsen CV, Stengaard-Pedersen K.

Spine J. 2010 Aug;10(8):659-75. doi: 10.1016/j.spinee.2010.03.026. Epub 2010 May 5.

PMID:
20447871
[PubMed - indexed for MEDLINE]
20.

A computer program for regression analysis of repeated measures using generalized estimating equations.

Davis CS.

Comput Methods Programs Biomed. 1993 May;40(1):15-31.

PMID:
8403864
[PubMed - indexed for MEDLINE]

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