-
1
-
-
84878659586
-
Impact of present-on-admission indicators on risk-adjusted hospital mortality measurement
-
Dalton JE, Glance LG, Mascha EJ, Ehrlinger J, Chamoun N, Sessler DI: Impact of present-on-admission indicators on risk-adjusted hospital mortality measurement. Anesthesiology 2013; 118:1298-306
-
(2013)
Anesthesiology
, vol.118
, pp. 1298-1306
-
-
Dalton, J.E.1
Glance, L.G.2
Mascha, E.J.3
Ehrlinger, J.4
Chamoun, N.5
Sessler, D.I.6
-
2
-
-
80052567230
-
Developing risk prediction models for type 2 diabetes: A systematic review of methodology and reporting
-
Collins GS, Mallett S, Omar O, Yu LM: Developing risk prediction models for type 2 diabetes: A systematic review of methodology and reporting. BMC Med 2011; 9:103
-
(2011)
BMC Med
, vol.9
, pp. 103
-
-
Collins, G.S.1
Mallett, S.2
Omar, O.3
Yu, L.M.4
-
3
-
-
80054764509
-
Risk prediction models for hospital readmission: A systematic review
-
Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, Kripalani S: Risk prediction models for hospital readmission: A systematic review. JAMA 2011; 306:1688-98
-
(2011)
JAMA
, vol.306
, pp. 1688-1698
-
-
Kansagara, D.1
Englander, H.2
Salanitro, A.3
Kagen, D.4
Theobald, C.5
Freeman, M.6
Kripalani, S.7
-
4
-
-
80052546577
-
Prediction of mortality in very premature infants: A systematic review of prediction models
-
Medlock S, Ravelli AC, Tamminga P, Mol BW, Abu-Hanna A: Prediction of mortality in very premature infants: A systematic review of prediction models. PLoS ONE 2011; 6:e23441
-
(2011)
PLoS ONE
, vol.6
-
-
Medlock, S.1
Ravelli, A.C.2
Tamminga, P.3
Mol, B.W.4
Abu-Hanna, A.5
-
5
-
-
84860113852
-
Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
-
Moons KG, Kengne AP, Woodward M, Royston P, Vergouwe Y, Altman DG, Grobbee DE: Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart 2012; 98:683-90
-
(2012)
Heart
, vol.98
, pp. 683-690
-
-
Moons, K.G.1
Kengne, A.P.2
Woodward, M.3
Royston, P.4
Vergouwe, Y.5
Altman, D.G.6
Grobbee, D.E.7
-
6
-
-
80051862652
-
The performance of automated case-mix adjustment regression model building methods in a health outcome prediction setting
-
Jen MH, Bottle A, Kirkwood G, Johnston R, Aylin P: The performance of automated case-mix adjustment regression model building methods in a health outcome prediction setting. Health Care Manag Sci 2011; 14:267-78
-
(2011)
Health Care Manag Sci
, vol.14
, pp. 267-278
-
-
Jen, M.H.1
Bottle, A.2
Kirkwood, G.3
Johnston, R.4
Aylin, P.5
-
7
-
-
0034728356
-
What do we mean by validating a prognostic model?
-
Altman DG, Royston P: What do we mean by validating a prognostic model? Stat Med 2000; 19:453-73
-
(2000)
Stat Med
, vol.19
, pp. 453-473
-
-
Altman, D.G.1
Royston, P.2
-
8
-
-
78049335406
-
Broadly applicable risk stratification system for predicting duration of hospitalization and mortality
-
Sessler DI, Sigl JC, Manberg PJ, Kelley SD, Schubert A, Chamoun NG: Broadly applicable risk stratification system for predicting duration of hospitalization and mortality. Anesthes iolog y 2010; 113:1026-37
-
(2010)
Anesthes Iolog y
, vol.113
, pp. 1026-1037
-
-
Sessler, D.I.1
Sigl, J.C.2
Manberg, P.J.3
Kelley, S.D.4
Schubert, A.5
Chamoun, N.G.6
-
9
-
-
77955980568
-
Prediction models for prolonged intensive care unit stay after cardiac surgery: Systematic review and validation study
-
Ettema RG, Peelen LM, Schuurmans MJ, Nierich AP, Kalkman CJ, Moons KG: Prediction models for prolonged intensive care unit stay after cardiac surgery: Systematic review and validation study. Circulation 2010; 122:682-9
-
(2010)
Circulation
, vol.122
, pp. 682-689
-
-
Ettema, R.G.1
Peelen, L.M.2
Schuurmans, M.J.3
Nierich, A.P.4
Kalkman, C.J.5
Moons, K.G.6
-
10
-
-
84861872921
-
Comparing risk prediction models
-
Collins GS, Moons KG: Comparing risk prediction models. BMJ 2012; 344:e3186
-
(2012)
BMJ
, vol.344
-
-
Collins, G.S.1
Moons, K.G.2
-
11
-
-
84861842176
-
Comparisons of established risk prediction models for cardiovascular disease: Systematic review
-
Siontis GC, Tzoulaki I, Siontis KC, Ioannidis JP: Comparisons of established risk prediction models for cardiovascular disease: Systematic review. BMJ 2012; 344:e3318
-
(2012)
BMJ
, vol.344
-
-
Siontis, G.C.1
Tzoulaki, I.2
Siontis, K.C.3
Ioannidis, J.P.4
-
12
-
-
84866607803
-
Prediction models for risk of developing type 2 diabetes: Systematic literature search and independent external validation study
-
Abbasi A, Peelen LM, Corpeleijn E, van der Schouw YT, Stolk RP, Spijkerman AM, van der A DL, Moons KG, Navis G, Bakker SJ, Beulens JW: Prediction models for risk of developing type 2 diabetes: Systematic literature search and independent external validation study. BMJ 2012; 345:e5900
-
(2012)
BMJ
, vol.345
-
-
Abbasi, A.1
Peelen, L.M.2
Corpeleijn, E.3
Van Der Schouw, Y.T.4
Stolk, R.P.5
Spijkerman, A.M.6
Van Der, A.D.L.7
Moons, K.G.8
Navis, G.9
Bakker, S.J.10
Beulens, J.W.11
-
13
-
-
84871295929
-
Flexible recalibration of binary clinical prediction models
-
Dalton JE: Flexible recalibration of binary clinical prediction models. Stat Med 2013; 32:282-9
-
(2013)
Stat Med
, vol.32
, pp. 282-289
-
-
Dalton, J.E.1
-
14
-
-
84861851425
-
Opening up multivariable prediction models: Consensus-based guidelines for transparent reporting
-
Collins GS: Opening Up Multivariable Prediction Models: Consensus-based Guidelines for Transparent Reporting, BMJ Blogs, 2011
-
(2011)
BMJ Blogs
-
-
Collins, G.S.1
|