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Items: 1 to 20 of 106

1.

Risk prediction models: recalibration.

Harrison DA, Parry GJ, Rowan K.

Crit Care Med. 2007 Jan;35(1):326-7. No abstract available.

PMID:
17197789
2.

What accounts for the difference between observed and predicted?

Wagner DP.

Crit Care Med. 2006 May;34(5):1552-3. No abstract available.

PMID:
16633255
3.

Recalibration of risk prediction models in a large multicenter cohort of admissions to adult, general critical care units in the United Kingdom.

Harrison DA, Brady AR, Parry GJ, Carpenter JR, Rowan K.

Crit Care Med. 2006 May;34(5):1378-88.

PMID:
16557153
4.

New options may improve accuracy of risk adjustment.

[No authors listed]

Capitation Manag Rep. 2002 May;9(5):75-8.

PMID:
12056203
5.

What price perfection? Calibration and discrimination of clinical prediction models.

Diamond GA.

J Clin Epidemiol. 1992 Jan;45(1):85-9. No abstract available.

PMID:
1738016
6.

Multivariate calibrations in UV spectrophotometric analysis.

Arayne MS, Sultana N, Bahadur SS.

Pak J Pharm Sci. 2007 Apr;20(2):163-74. Review.

PMID:
17416574
7.

Mutual information-induced interval selection combined with kernel partial least squares for near-infrared spectral calibration.

Tan C, Li M.

Spectrochim Acta A Mol Biomol Spectrosc. 2008 Dec 15;71(4):1266-73. doi: 10.1016/j.saa.2008.03.033.

PMID:
18462989
8.

Importance of prediction outlier diagnostics in determining a successful inter-vendor multivariate calibration model transfer.

Guenard RD, Wehlburg CM, Pell RJ, Haaland DM.

Appl Spectrosc. 2007 Jul;61(7):747-54.

PMID:
17697469
9.

An introduction to statistical methods used in binary outcome modeling.

Nathanson BH, Higgins TL.

Semin Cardiothorac Vasc Anesth. 2008 Sep;12(3):153-66. doi: 10.1177/1089253208323415. Review.

PMID:
18805850
10.

Evaluation of chemometric algorithms in quantitative X-ray powder diffraction (XRPD) of intact multi-component consolidated samples.

Moore MD, Cogdill RP, Wildfong PL.

J Pharm Biomed Anal. 2009 Apr 5;49(3):619-26. doi: 10.1016/j.jpba.2008.12.007.

PMID:
19167855
11.

Preoperative risk stratification in infective endocarditis. Does the EuroSCORE model work? Preliminary results.

Mestres CA, Castro MA, Bernabeu E, Josa M, Cartaná R, Pomar JL, Miró JM, Mulet J; Hospital Clínico Endocarditis Study Group..

Eur J Cardiothorac Surg. 2007 Aug;32(2):281-5.

PMID:
17548201
12.

Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases.

Li B, Evans D, Faris P, Dean S, Quan H.

BMC Health Serv Res. 2008 Jan 14;8:12. doi: 10.1186/1472-6963-8-12.

13.

Flexible recalibration of binary clinical prediction models.

Dalton JE.

Stat Med. 2013 Jan 30;32(2):282-9. doi: 10.1002/sim.5544.

PMID:
22847754
14.

Rating organ failure via adverse events using data mining in the intensive care unit.

Silva A, Cortez P, Santos MF, Gomes L, Neves J.

Artif Intell Med. 2008 Jul;43(3):179-93. doi: 10.1016/j.artmed.2008.03.010.

PMID:
18486459
15.

Adjusting clinical prediction rules: an academic exercise or the potential for real world clinical applications in perioperative medicine?

Brasher PM, Beattie WS.

Can J Anaesth. 2009 Mar;56(3):190-3. doi: 10.1007/s12630-009-9050-9. English, French. No abstract available.

PMID:
19247739
16.

The trauma risk adjustment model: a new model for evaluating trauma care.

Moore L, Lavoie A, Turgeon AF, Abdous B, Le Sage N, Emond M, Liberman M, Bergeron E.

Ann Surg. 2009 Jun;249(6):1040-6. doi: 10.1097/SLA.0b013e3181a6cd97.

PMID:
19474674
17.

Evaluating prediction models in reproductive medicine.

Coppus SF, van der Veen F, Opmeer BC, Mol BW, Bossuyt PM.

Hum Reprod. 2009 Aug;24(8):1774-8. doi: 10.1093/humrep/dep109.

PMID:
19395365
18.

Bivariate random effects meta-analysis of ROC curves.

Arends LR, Hamza TH, van Houwelingen JC, Heijenbrok-Kal MH, Hunink MG, Stijnen T.

Med Decis Making. 2008 Sep-Oct;28(5):621-38. doi: 10.1177/0272989X08319957.

PMID:
18591542
19.

Calibration of (109)Cd KXRF systems for in vivo bone lead measurements: weighted least-squares regression with different weighting functions.

de Brito JA, Chettle DR.

Phys Med Biol. 2009 Jul 7;54(13):L45-50. doi: 10.1088/0031-9155/54/13/L01.

PMID:
19521005
20.

Patient-reported outcomes helped predict survival in multiple myeloma using partial least squares analysis.

Viala M, Bhakar AL, de la Loge C, van de Velde H, Esseltine D, Chang M, Dhawan R, Dubois D.

J Clin Epidemiol. 2007 Jul;60(7):670-679.

PMID:
17573982

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