-
1
-
-
0001135785
-
Sampling and Bayes inference in scientific modeling and robustness
-
Box GEP. Sampling and Bayes inference in scientific modeling and robustness. J R Stat Soc A 1980;143: 383-430.
-
(1980)
J R Stat Soc A
, vol.143
, pp. 383-430
-
-
Box, G.E.P.1
-
2
-
-
0000965378
-
The Bayesian influence
-
Harper W, Hooker CA (eds) Boston: D. Reidel Publishing Company Reprinted in Good IJ. Good Thinking. Minneapolis, MN: University of Minnesota Press, 1983, 22-55
-
Good IJ. The Bayesian influence. In Harper W, Hooker CA (eds). Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science. Vol 2. Boston: D. Reidel Publishing Company, 1976, pp. 125-174. Reprinted in Good IJ. Good Thinking. Minneapolis, MN: University of Minnesota Press, 1983, pp. 22-55.
-
(1976)
Foundations of Probability Theory, Statistical Inference, and Statistical Theories of Science
, vol.2
, pp. 125-174
-
-
Good, I.J.1
-
3
-
-
20144383829
-
Multiple-bias modelling for analysis of observational data
-
Greenland S. Multiple-bias modelling for analysis of observational data. J R Stat Soc A 2005;168:267-91.
-
(2005)
J R Stat Soc A
, vol.168
, pp. 267-291
-
-
Greenland, S.1
-
4
-
-
33645315892
-
Bayesian perspectives for epidemiological research I. Foundations and basic methods
-
Greenland S. Bayesian perspectives for epidemiological research. I. Foundations and basic methods. Int J Epidemiol 2006;35:765-75.
-
(2006)
Int J Epidemiol
, vol.35
, pp. 765-775
-
-
Greenland, S.1
-
6
-
-
84857574922
-
Bayesian posterior distributions without Markov chains
-
Cole SR, Chu H, Greenland S, Hamra G, Richardson DB. Bayesian posterior distributions without Markov chains. Am J Epidemiol 2012;175:368-75.
-
(2012)
Am J Epidemiol
, vol.175
, pp. 368-375
-
-
Cole, S.R.1
Chu, H.2
Greenland, S.3
Hamra, G.4
Richardson, D.B.5
-
7
-
-
0034875204
-
Putting background information about relative risks into conjugate prior distributions
-
Greenland S. Putting background information about relative risks into conjugate prior distributions. Biometrics 2001;57:663-70.
-
(2001)
Biometrics
, vol.57
, pp. 663-670
-
-
Greenland, S.1
-
8
-
-
0037366626
-
Generalized conjugate priors for Bayesian analysis of risk and survival regressions
-
Greenland S. Generalized conjugate priors for Bayesian analysis of risk and survival regressions. Biometrics 2003; 59:92-9.
-
(2003)
Biometrics
, vol.59
, pp. 92-99
-
-
Greenland, S.1
-
9
-
-
34447343362
-
Bayesian perspectives for epidemiological research II. Regression analysis
-
Greenland S. Bayesian perspectives for epidemiological research. II. Regression analysis. Int J Epidemiol 2007;36: 195-202.
-
(2007)
Int J Epidemiol
, vol.36
, pp. 195-202
-
-
Greenland, S.1
-
10
-
-
34547529771
-
Prior data for non-normal priors
-
Greenland S. Prior data for non-normal priors. Stat Med 2007;26:3578-90.
-
(2007)
Stat Med
, vol.26
, pp. 3578-3590
-
-
Greenland, S.1
-
11
-
-
76349126008
-
Relaxation penalties and priors for plausible modeling of nonidentified bias sources
-
Greenland S. Relaxation penalties and priors for plausible modeling of nonidentified bias sources. Stat Sci 2009;24: 195-210.
-
(2009)
Stat Sci
, vol.24
, pp. 195-210
-
-
Greenland, S.1
-
12
-
-
80053515283
-
Use of antiepileptic medications in pregnancy in relation to risks of birth defects
-
Werler MM, Ahrens KA, Bosco JL et al. Use of antiepileptic medications in pregnancy in relation to risks of birth defects. Ann Epidemiol 2011;21:842-50.
-
(2011)
Ann Epidemiol
, vol.21
, pp. 842-850
-
-
Werler, M.M.1
Ahrens, K.A.2
Bosco, J.L.3
-
15
-
-
0000555876
-
Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators
-
Greenland S. Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators. Biostatistics 2000;1:113-22.
-
(2000)
Biostatistics
, vol.1
, pp. 113-122
-
-
Greenland, S.1
-
16
-
-
0034159815
-
Problems due to small samples and sparse data in conditional logistic regression analysis
-
Greenland S, Schwartzbaum JA, Finkle WD. Problems due to small samples and sparse data in conditional logistic regression analysis. Am J Epidemiol 2000;151: 531-39.
-
(2000)
Am J Epidemiol
, vol.151
, pp. 531-539
-
-
Greenland, S.1
Schwartzbaum, J.A.2
Finkle, W.D.3
-
17
-
-
84859920116
-
Predictors of intensive care unit admission after total joint arthroplasty
-
AbdelSalam H, Restrepo C, Tarity TD, Sangster W, Parvizi J. Predictors of intensive care unit admission after total joint arthroplasty. J Arthroplasty 2012;27: 720-25.
-
(2012)
J Arthroplasty
, vol.27
, pp. 720-725
-
-
Abdelsalam, H.1
Restrepo, C.2
Tarity, T.D.3
Sangster, W.4
Parvizi, J.5
-
19
-
-
70349351585
-
Bayesian perspectives for epidemiologic research III. Bias analysis via missing-data methods
-
Greenland S. Bayesian perspectives for epidemiologic research. III. Bias analysis via missing-data methods. Int J Epidemiol 2009;38:1662-73.
-
(2009)
Int J Epidemiol
, vol.38
, pp. 1662-1673
-
-
Greenland, S.1
-
20
-
-
63549149056
-
-
SAS Institute Inc Second edition Cary, NC: SAS Institute
-
SAS Institute Inc. SAS/STAT_ 9.2 User's Guide. Second edition Cary, NC: SAS Institute, 2009
-
(2009)
SAS/STAT_ 9.2 User's Guide
-
-
-
21
-
-
49349116471
-
18. Introduction to Bayesian statistics
-
Rothman KJ, Greenland S, Lash TL (eds) 3rd edn Philadelphia, PA: Lippincott, Williams & Wilkins
-
Greenland S. 18. Introduction to Bayesian statistics. In Rothman KJ, Greenland S, Lash TL (eds). Modern Epidemiology. 3rd edn. Philadelphia, PA: Lippincott, Williams & Wilkins, 2008.
-
(2008)
Modern Epidemiology
-
-
Greenland, S.1
-
22
-
-
40049100642
-
Invited commentary: variable selection versus shrinkage in the control of multiple confounders
-
Corrigendum 167 2008 1142
-
Greenland S. Invited commentary: variable selection versus shrinkage in the control of multiple confounders. Am J Epidemiol 2008;167:523-29. Corrigendum 2008; 167:1142.
-
(2008)
Am J Epidemiol
, vol.167
, pp. 523-529
-
-
Greenland, S.1
-
23
-
-
79961009495
-
Simpson's paradox from adding constants in contingency tables as an example of Bayesian noncollapsibility
-
Greenland S. Simpson's paradox from adding constants in contingency tables as an example of Bayesian noncollapsibility. Am Stat 2010;64:340-44.
-
(2010)
Am Stat
, vol.64
, pp. 340-344
-
-
Greenland, S.1
-
24
-
-
33845869707
-
-
Vienna: Medical University of Vienna, Department of Medical Computer Sciences, Report No. 2/2004
-
Heinze G, Ploner M. A SAS Macro, S-PLUS Library and R Package to Perform Logistic Regression Without Convergence Problems. Vienna: Medical University of Vienna, Department of Medical Computer Sciences, 2004, Report No. 2/2004.
-
(2004)
A SAS Macro, S-PLUS Library and R Package to Perform Logistic Regression Without Convergence Problems
-
-
Heinze, G.1
Ploner, M.2
-
25
-
-
0030474271
-
A simulation study of the number of events per variable in logistic regression analysis
-
Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996;49:1373-79.
-
(1996)
J Clin Epidemiol
, vol.49
, pp. 1373-1379
-
-
Peduzzi, P.1
Concato, J.2
Kemper, E.3
Holford, T.R.4
Feinstein, A.R.5
-
26
-
-
0030539336
-
Markov Chain Monte Carlo convergence diagnostics: A comparative review
-
Cowles MK, Carlin BP. Markov Chain Monte Carlo convergence diagnostics: A comparative review. J Am Stat Assoc 1996;91:883-904.
-
(1996)
J Am Stat Assoc
, vol.91
, pp. 883-904
-
-
Cowles, M.K.1
Carlin, B.P.2
|