-
1
-
-
22144442457
-
Ruling out deep venous thrombosis in primary care A simple diagnostic algorithm including D-dimer testing
-
Oudega R, Moons KG, Hoes AW. Ruling out deep venous thrombosis in primary care. A simple diagnostic algorithm including D-dimer testing. Thromb Haemost. 2005;94(1): 200-205.
-
(2005)
Thromb Haemost.
, vol.94
, Issue.1
, pp. 200-205
-
-
Oudega, R.1
Moons, K.G.2
Hoes, A.W.3
-
2
-
-
50949101668
-
Predicting outcome after traumatic brain injury: Development and international validation of prognostic scores based on admission characteristics
-
Steyerberg EW, Mushkudiani N, Perel P, et al. Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med. 2008;5(8):e165.
-
(2008)
PLoS Med.
, vol.5
, Issue.8
-
-
Steyerberg, E.W.1
Mushkudiani, N.2
Perel, P.3
-
3
-
-
0034906866
-
Internal validation of predictive models: Efficiency of some procedures for logistic regression analysis
-
Steyerberg EW, Harrell FE Jr, Borsboom GJ, et al. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001; 54(8):774-781.
-
(2001)
J Clin Epidemiol.
, vol.54
, Issue.8
, pp. 774-781
-
-
Steyerberg, E.W.1
Fe, R.J.2
Borsboom, G.J.3
-
6
-
-
0000612448
-
The effect of two-stage sampling on ordinary least squares methods
-
Scott AJ, Holt D. The effect of two-stage sampling on ordinary least squares methods. J Am Stat Assoc. 1982;77(380):848-854.
-
(1982)
J Am Stat Assoc.
, vol.77
, Issue.380
, pp. 848-854
-
-
Scott, A.J.1
Holt, D.2
-
7
-
-
0032529143
-
Some controversies in planning and analysing multicentre trials
-
Senn S. Some controversies in planning and analysing multicentre trials. Stat Med. 1998;17(15-16):1753-1765.
-
(1998)
Stat Med.
, vol.17
, Issue.15-16
, pp. 1753-1765
-
-
Senn, S.1
-
8
-
-
84878561225
-
-
In: Multilevel Statistical Models. London, UK: Edward Arnold
-
Goldstein H. Extensions to the basic multilevel model. In: Multilevel Statistical Models. London, UK: Edward Arnold; 1995:51-71.
-
(1995)
Extensions to the Basic Multilevel Model
, pp. 51-71
-
-
Goldstein, H.1
-
9
-
-
77949413168
-
Bootstrap-based methods for estimating standard errors in Cox's regression analyses of clustered event times
-
Xiao Y, Abrahamowicz M. Bootstrap-based methods for estimating standard errors in Cox's regression analyses of clustered event times. Stat Med. 2010;29(7-8):915-923.
-
(2010)
Stat Med.
, vol.29
, Issue.7-8
, pp. 915-923
-
-
Xiao, Y.1
Abrahamowicz, M.2
-
11
-
-
84925144768
-
-
New York: Cambridge University Press
-
Twisk JWR. Applied Multilevel Analysis. New York: Cambridge University Press; 2006:chap 2.
-
(2006)
Applied Multilevel Analysis
, pp. 2
-
-
Jwr, T.1
-
12
-
-
34548301106
-
A simulation study of sample size for multilevel logistic regression models
-
Moineddin R, Matheson FI, Glazier RH. A simulation study of sample size for multilevel logistic regression models. BMC Med Res Methodol. 2007;7:34.
-
(2007)
BMC Med Res Methodol.
, vol.7
, pp. 34
-
-
Moineddin, R.1
Matheson, F.I.2
Glazier, R.H.3
-
13
-
-
5644283285
-
Patterns of intra-cluster correlation from primary care research to inform study design and analysis
-
Adams G, Gulliford MC, Ukoumunne OC, et al. Patterns of intra-cluster correlation from primary care research to inform study design and analysis. J Clin Epidemiol. 2004;57(8): 785-794.
-
(2004)
J Clin Epidemiol.
, vol.57
, Issue.8
, pp. 785-794
-
-
Adams, G.1
Gulliford, M.C.2
Ukoumunne, O.C.3
-
14
-
-
65649115103
-
Prediction in multilevel generalized linear models
-
Skrondal A, Rabe-Hesketh S. Prediction in multilevel generalized linear models. J R Stat Soc Ser A Stat Soc. 2009;172(3):659-687.
-
(2009)
J R Stat Soc ser A Stat Soc.
, vol.172
, Issue.3
, pp. 659-687
-
-
Skrondal, A.1
Rabe-Hesketh, S.2
-
15
-
-
0030069896
-
Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
-
Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361-387.
-
(1996)
Stat Med.
, vol.15
, Issue.4
, pp. 361-387
-
-
Fe, R.J.1
Lee, K.L.2
Mark, D.B.3
-
16
-
-
0025766123
-
Validation techniques for logistic regression models
-
Miller ME, Hui SL, Tierney WM. Validation techniques for logistic regression models. Stat Med. 1991;10(8):1213-1226.
-
(1991)
Stat Med.
, vol.10
, Issue.8
, pp. 1213-1226
-
-
Miller, M.E.1
Hui, S.L.2
Tierney, W.M.3
-
17
-
-
0029123293
-
Construction, validation and updating of a prognostic model for kidney graft survival
-
Van Houwelingen HC, Thorogood J. Construction, validation and updating of a prognostic model for kidney graft survival. Stat Med. 1995;14(18):1999-2008.
-
(1995)
Stat Med.
, vol.14
, Issue.18
, pp. 1999-2008
-
-
Van Houwelingen, H.C.1
Thorogood, J.2
-
18
-
-
78650239589
-
An application of Harrell's C-index to PH frailty models
-
van Oirbeek R, Lesaffre E. An application of Harrell's C-index to PH frailty models. Stat Med. 2010;29(30):3160-3171.
-
(2010)
Stat Med.
, vol.29
, Issue.30
, pp. 3160-3171
-
-
Van Oirbeek, R.1
Lesaffre, E.2
-
19
-
-
0025151933
-
Predictive value of statistical models
-
van Houwelingen JC, le Cessie S. Predictive value of statistical models. Stat Med. 1990;9(11):1303-1325.
-
(1990)
Stat Med.
, vol.9
, Issue.11
, pp. 1303-1325
-
-
Van Houwelingen, J.C.1
Le Cessie, S.2
-
20
-
-
0001573594
-
Regression, prediction and shrinkage
-
Copas JB. Regression, prediction and shrinkage. J R Stat Soc Series B. 1983;45(3):311-354.
-
(1983)
J R Stat Soc Series B.
, vol.45
, Issue.3
, pp. 311-354
-
-
Copas, J.B.1
-
21
-
-
77950035264
-
Maximum likelihood for generalized linear models with nested random effects via high-order, multivariate Laplace approximation
-
Raudenbush SW, Yang M-L, Yosef M. Maximum likelihood for generalized linear models with nested random effects via high-order, multivariate Laplace approximation. J Comput Graph Stat. 2000;9(1):141-157.
-
(2000)
J Comput Graph Stat.
, vol.9
, Issue.1
, pp. 141-157
-
-
Raudenbush, S.W.1
Yang, M.-L.2
Yosef, M.3
-
22
-
-
47749090885
-
Accuracy of Laplace approximation for discrete response mixed models
-
Joe H. Accuracy of Laplace approximation for discrete response mixed models. Comput Stat Data Anal. 2008; 52(12):5066-5074.
-
(2008)
Comput Stat Data Anal.
, vol.52
, Issue.12
, pp. 5066-5074
-
-
Joe, H.1
-
23
-
-
79951480123
-
-
The R Development Core Team.. Version 2.11.1. Vienna, Austria: R Foundation for Statistical Computing
-
The R Development Core Team. R: A Language and Environment for Statistical Computing: Reference Index. Version 2.11.1. Vienna, Austria: R Foundation for Statistical Computing; 2010.
-
(2010)
R: A Language and Environment for Statistical Computing: Reference Index
-
-
-
25
-
-
79952228708
-
Implementing a prediction rule for postoperative nausea and vomiting: A cluster-randomized trial [abstract]
-
Orlando, FL. Abstracts Anesthesiology, October
-
Kappen TH, Vergouwe Y, van KleiWA, et al. Implementing a prediction rule for postoperative nausea and vomiting: a cluster-randomized trial [abstract]. Presented at the American Society of Anesthesiologists 2008 Meeting, Orlando, FL. Abstracts Anesthesiology, October 2008; 109: A1266.
-
(2008)
Presented at the American Society of Anesthesiologists 2008 Meeting
, vol.109
-
-
Kappen, T.H.1
Vergouwe, Y.2
Van Kleiwa3
-
26
-
-
16244402934
-
Does measurement of preoperative anxiety have added value for predicting postoperative nausea and vomiting
-
Van den Bosch JE, Moons KG, Bonsel GJ, et al. Does measurement of preoperative anxiety have added value for predicting postoperative nausea and vomiting? Anesth Analg. 2005;100(5):1525-1532.
-
(2005)
Anesth Analg.
, vol.100
, Issue.5
, pp. 1525-1532
-
-
Van Den Bosch, J.E.1
Moons, K.G.2
Bonsel, G.J.3
-
28
-
-
0030474271
-
A simulation study of the number of events per variable in logistic regression analysis
-
Peduzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996;49(12):1373-1379.
-
(1996)
J Clin Epidemiol.
, vol.49
, Issue.12
, pp. 1373-1379
-
-
Peduzzi, P.1
Concato, J.2
Kemper, E.3
-
29
-
-
80054995011
-
Performance of logistic regression modeling: Beyond the number of events per variable, the role of data structure
-
Courvoisier DS, Combescure C, Agoritsas T, et al. Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure. J Clin Epidemiol. 2011;64(9):993-1000.
-
(2011)
J Clin Epidemiol.
, vol.64
, Issue.9
, pp. 993-1000
-
-
Courvoisier, D.S.1
Combescure, C.2
Agoritsas, T.3
-
31
-
-
0033213971
-
Stepwise selection in small data sets: A simulation study of bias in logistic regression analysis
-
Steyerberg EW, Eijkemans MJ, Habbema JD. Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis. J Clin Epidemiol. 1999;52(10): 935-942.
-
(1999)
J Clin Epidemiol.
, vol.52
, Issue.10
, pp. 935-942
-
-
Steyerberg, E.W.1
Eijkemans, M.J.2
Habbema, J.D.3
-
32
-
-
84878582955
-
-
Presented at the 8th International Amsterdam Conference on Multilevel Analysis, Amsterdam, March 16
-
Bates D. Mixed models in R using the lme4 package, part 1: linear mixed models with simple, scalar random effects. Presented at the 8th International Amsterdam Conference on Multilevel Analysis, Amsterdam, March 16, 2011.
-
(2011)
Mixed Models in R Using the lme4 Package, Part 1: Linear Mixed Models with Simple, Scalar Random Effects
-
-
Bates, D.1
-
33
-
-
30644460082
-
Fitting linear mixed models in R, using the lme4 package
-
Bates D. Fitting linear mixed models in R, using the lme4 package. R News. 2005;5(1):27-30.
-
(2005)
R News.
, vol.5
, Issue.1
, pp. 27-30
-
-
Bates, D.1
|