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Results: 1 to 20 of 102

1.

[Application of spline-based Cox regression on analyzing data from follow-up studies].

Dong Y, Yu JM, Hu DY.

Zhonghua Liu Xing Bing Xue Za Zhi. 2012 Sep;33(9):969-72. Chinese.

PMID:
23290814
[PubMed - indexed for MEDLINE]
2.

Alternative ankle-brachial index method identifies additional at-risk individuals.

Nead KT, Cooke JP, Olin JW, Leeper NJ.

J Am Coll Cardiol. 2013 Aug 6;62(6):553-9. doi: 10.1016/j.jacc.2013.04.061. Epub 2013 May 22.

PMID:
23707317
[PubMed - indexed for MEDLINE]
3.

Efficiency of the logistic regression and Cox proportional hazards models in longitudinal studies.

Annesi I, Moreau T, Lellouch J.

Stat Med. 1989 Dec;8(12):1515-21.

PMID:
2616941
[PubMed - indexed for MEDLINE]
4.

Assessing interactions of binary time-dependent covariates with time in cox proportional hazards regression models using cubic spline functions.

Heinzl H, Kaider A, Zlabinger G.

Stat Med. 1996 Dec 15;15(23):2589-601.

PMID:
8961465
[PubMed - indexed for MEDLINE]
5.

Extended follow-up and spatial analysis of the American Cancer Society study linking particulate air pollution and mortality.

Krewski D, Jerrett M, Burnett RT, Ma R, Hughes E, Shi Y, Turner MC, Pope CA 3rd, Thurston G, Calle EE, Thun MJ, Beckerman B, DeLuca P, Finkelstein N, Ito K, Moore DK, Newbold KB, Ramsay T, Ross Z, Shin H, Tempalski B.

Res Rep Health Eff Inst. 2009 May;(140):5-114; discussion 115-36.

PMID:
19627030
[PubMed - indexed for MEDLINE]
6.

Debunking the survival bias myth: characterization of mortality during the initial 24 hours for patients requiring massive transfusion.

Brown JB, Cohen MJ, Minei JP, Maier RV, West MA, Billiar TR, Peitzman AB, Moore EE, Cushieri J, Sperry JL; Inflammation and Host Response to Injury Investigators.

J Trauma Acute Care Surg. 2012 Aug;73(2):358-64; discussion 364.

PMID:
22846940
[PubMed - indexed for MEDLINE]
7.

Predictive value of ankle-brachial index to all-cause mortality and cardiovascular mortality in Chinese patients with chronic kidney disease.

Wang Y, Guo X, Li J, Hu D, Zhao D, Ma H, Mou Q, Liu J, Xu Y.

Vasa. 2012 May;41(3):205-13. doi: 10.1024/0301-1526/a000187.

PMID:
22565622
[PubMed - indexed for MEDLINE]
8.

Relationship of ankle-brachial index with all-cause mortality and cardiovascular mortality after a 3-year follow-up: the China ankle-brachial index cohort study.

Li X, Luo Y, Xu Y, Li J, Hu D.

J Hum Hypertens. 2010 Feb;24(2):111-6. doi: 10.1038/jhh.2009.49. Epub 2009 Jun 11.

PMID:
19516270
[PubMed - indexed for MEDLINE]
9.

Artificial neural networks versus proportional hazards Cox models to predict 45-year all-cause mortality in the Italian Rural Areas of the Seven Countries Study.

Puddu PE, Menotti A.

BMC Med Res Methodol. 2012 Jul 23;12:100. doi: 10.1186/1471-2288-12-100.

PMID:
22824187
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

[The relationship between ankle brachial index and all-cause and cardiovascular disease mortality in Chinese metabolic syndrome male cohort].

Xu Y, Li J, Luo YY, Li MJ, Zhang JM, Xing Y, Hu DY.

Zhonghua Nei Ke Za Zhi. 2007 Jul;46(7):551-4. Chinese.

PMID:
17959075
[PubMed - indexed for MEDLINE]
11.

Associations between the ankle-brachial index and cardiovascular and all-cause mortality are similar in individuals without and with type 2 diabetes: nineteen-year follow-up of a population-based cohort study.

Hanssen NM, Huijberts MS, Schalkwijk CG, Nijpels G, Dekker JM, Stehouwer CD.

Diabetes Care. 2012 Aug;35(8):1731-5. doi: 10.2337/dc12-0178. Epub 2012 Jun 14.

PMID:
22699294
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

The association of the ankle-brachial index with incident coronary heart disease: the Atherosclerosis Risk In Communities (ARIC) study, 1987-2001.

Weatherley BD, Nelson JJ, Heiss G, Chambless LE, Sharrett AR, Nieto FJ, Folsom AR, Rosamond WD.

BMC Cardiovasc Disord. 2007 Jan 16;7:3.

PMID:
17227586
[PubMed - indexed for MEDLINE]
Free PMC Article
13.

The ankle-brachial index is not related to mortality in elderly subjects living in nursing homes.

Bo M, Zanocchi M, Poli L, Molaschi M.

Angiology. 2005 Nov-Dec;56(6):693-7.

PMID:
16327945
[PubMed - indexed for MEDLINE]
14.

Ankle brachial index as an independent predictor of mortality in anticoagulated atrial fibrillation.

Gallego P, Roldán V, Marín F, Jover E, Manzano-Fernández S, Valdés M, Vicente V, Lip GY.

Eur J Clin Invest. 2012 Dec;42(12):1302-8. doi: 10.1111/eci.12004. Epub 2012 Oct 11.

PMID:
23057651
[PubMed - indexed for MEDLINE]
15.

Ankle blood pressure as a predictor of total and cardiovascular mortality.

Hietanen H, Pääkkönen R, Salomaa V.

BMC Cardiovasc Disord. 2008 Feb 12;8:3. doi: 10.1186/1471-2261-8-3.

PMID:
18267039
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

A relative survival regression model using B-spline functions to model non-proportional hazards.

Giorgi R, Abrahamowicz M, Quantin C, Bolard P, Esteve J, Gouvernet J, Faivre J.

Stat Med. 2003 Sep 15;22(17):2767-84.

PMID:
12939785
[PubMed - indexed for MEDLINE]
17.

Adaptive regression splines in the Cox model.

LeBlanc M, Crowley J.

Biometrics. 1999 Mar;55(1):204-13.

PMID:
11318156
[PubMed - indexed for MEDLINE]
18.

Physical activity is a predictor of all-cause mortality in patients with intermittent claudication.

Gardner AW, Montgomery PS, Parker DE.

J Vasc Surg. 2008 Jan;47(1):117-22. doi: 10.1016/j.jvs.2007.09.033.

PMID:
18178462
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

Different calculations of ankle-brachial index and their impact on cardiovascular risk prediction.

Espinola-Klein C, Rupprecht HJ, Bickel C, Lackner K, Savvidis S, Messow CM, Munzel T, Blankenberg S; AtheroGene Investigators.

Circulation. 2008 Aug 26;118(9):961-7. doi: 10.1161/CIRCULATIONAHA.107.763227. Epub 2008 Aug 12.

PMID:
18697822
[PubMed - indexed for MEDLINE]
Free Article
20.

Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions.

Heinzl H, Kaider A.

Comput Methods Programs Biomed. 1997 Nov;54(3):201-8.

PMID:
9421665
[PubMed - indexed for MEDLINE]

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