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Volumn 1, Issue 5, 2010, Pages 658-676

Bayesian data analysis

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EID: 79551648571     PISSN: 19395078     EISSN: 19395086     Source Type: Journal    
DOI: 10.1002/wcs.72     Document Type: Article
Times cited : (217)

References (68)
  • 1
    • 37349085481 scopus 로고    scopus 로고
    • A practical solution to the pervasive problems of p values
    • Wagenmakers EJ. A practical solution to the pervasive problems of p values. Psychon Bull Rev 2007, 14:779-804.
    • (2007) Psychon Bull Rev , vol.14 , pp. 779-804
    • Wagenmakers, E.J.1
  • 2
    • 0005964627 scopus 로고    scopus 로고
    • A tutorial on simulation of queuing models
    • Sadiku MNO, Tofighi MR. A tutorial on simulation of queuing models. Int J Elec Eng Educ 1999, 36:102-120.
    • (1999) Int J Elec Eng Educ , vol.36 , pp. 102-120
    • Sadiku, M.N.O.1    Tofighi, M.R.2
  • 3
    • 84996149945 scopus 로고    scopus 로고
    • What future quantitative social science research could look like: confidence intervals for effect sizes
    • Thompson B. What future quantitative social science research could look like: confidence intervals for effect sizes. Educ Researcher 2002, 31:25-32.
    • (2002) Educ Researcher , vol.31 , pp. 25-32
    • Thompson, B.1
  • 4
    • 0035535636 scopus 로고    scopus 로고
    • A primer on the understanding, use and calculation of confidence intervals based on central and noncentral distributions
    • Cumming G, Finch S. A primer on the understanding, use and calculation of confidence intervals based on central and noncentral distributions. Educ Psychol Meas 2001, 61:530-572.
    • (2001) Educ Psychol Meas , vol.61 , pp. 530-572
    • Cumming, G.1    Finch, S.2
  • 5
    • 0030806162 scopus 로고    scopus 로고
    • What is confidence? Part 2: detailed definition and determination of confidence intervals
    • Young KD, Lewis RJ. What is confidence? Part 2: detailed definition and determination of confidence intervals. Ann Emerg Med 1997, 30:311-318.
    • (1997) Ann Emerg Med , vol.30 , pp. 311-318
    • Young, K.D.1    Lewis, R.J.2
  • 6
    • 74849092982 scopus 로고    scopus 로고
    • What is the probability of replicating a statistically significant effect?
    • Miller J. What is the probability of replicating a statistically significant effect? Psychon Bull Rev 2009, 16:617-640.
    • (2009) Psychon Bull Rev , vol.16 , pp. 617-640
    • Miller, J.1
  • 10
    • 33746263998 scopus 로고    scopus 로고
    • Special issue: probabilistic models of cognition
    • Chater N, Tenenbaum JB, Yuille A. Special issue: probabilistic models of cognition. Trends Cogn Sci 2006, 10:287-344.
    • (2006) Trends Cogn Sci , vol.10 , pp. 287-344
    • Chater, N.1    Tenenbaum, J.B.2    Yuille, A.3
  • 11
    • 48249123095 scopus 로고    scopus 로고
    • Bayesian approaches to associative learning: from passive to active learning
    • Kruschke JK. Bayesian approaches to associative learning: from passive to active learning. Learn Behav 2008, 36:210-226.
    • (2008) Learn Behav , vol.36 , pp. 210-226
    • Kruschke, J.K.1
  • 12
    • 50849109367 scopus 로고    scopus 로고
    • Three case studies in the Bayesian analysis of cognitive models
    • Lee MD. Three case studies in the Bayesian analysis of cognitive models. Psychon Bull Rev 2008, 15:1-15.
    • (2008) Psychon Bull Rev , vol.15 , pp. 1-15
    • Lee, M.D.1
  • 13
    • 23844530547 scopus 로고    scopus 로고
    • Bayesian statistical inference in psychology: Comment on Trafimow (2003)
    • Lee MD, Wagenmakers EJ. Bayesian statistical inference in psychology: Comment on Trafimow (2003). Psychol Rev 2005, 112:662-668.
    • (2005) Psychol Rev , vol.112 , pp. 662-668
    • Lee, M.D.1    Wagenmakers, E.J.2
  • 14
    • 70349144873 scopus 로고    scopus 로고
    • Highlighting a canonical experiment
    • Ross B, ed. Academic Press
    • Kruschke JK. Highlighting a canonical experiment. In: Ross B, ed. The Psychology of Learning and Motivation: Academic Press; 2009, 153-185.
    • (2009) The Psychology of Learning and Motivation , pp. 153-185
    • Kruschke, J.K.1
  • 15
    • 38149075883 scopus 로고    scopus 로고
    • No evidence for rule-based processing in the inverse base-rate effect
    • Lamberts K, Kent C. No evidence for rule-based processing in the inverse base-rate effect. Mem Cognit 2007, 35:2097-2105.
    • (2007) Mem Cognit , vol.35 , pp. 2097-2105
    • Lamberts, K.1    Kent, C.2
  • 17
    • 18444393093 scopus 로고    scopus 로고
    • Analysis of variance-why it is more important than ever
    • Gelman A. Analysis of variance-why it is more important than ever. Ann Stat 2005, 33:1-53.
    • (2005) Ann Stat , vol.33 , pp. 1-53
    • Gelman, A.1
  • 19
    • 36849032464 scopus 로고    scopus 로고
    • Ecological applications of multilevel analysis of variance
    • Qian SS, Shen Z. Ecological applications of multilevel analysis of variance. Ecology 2007, 88:2489-2495.
    • (2007) Ecology , vol.88 , pp. 2489-2495
    • Qian, S.S.1    Shen, Z.2
  • 20
    • 23744457858 scopus 로고    scopus 로고
    • A hierarchical model for estimating response time distributions
    • Rouder JN, Lu J, Speckman P, Sun D, Jiang Y. A hierarchical model for estimating response time distributions. Psychon Bull Rev 2005, 12:195-223.
    • (2005) Psychon Bull Rev , vol.12 , pp. 195-223
    • Rouder, J.N.1    Lu, J.2    Speckman, P.3    Sun, D.4    Jiang, Y.5
  • 21
    • 0033472376 scopus 로고    scopus 로고
    • Bayesian perspectives on multiple comparisons
    • Berry DA, Hochberg Y. Bayesian perspectives on multiple comparisons. J Stat Plan Inf 1999, 82:215-227.
    • (1999) J Stat Plan Inf , vol.82 , pp. 215-227
    • Berry, D.A.1    Hochberg, Y.2
  • 22
    • 84993698726 scopus 로고    scopus 로고
    • Correlations and multiple comparisons in functional imaging-a statistical perspective
    • Lindquist MA, Gelman A. Correlations and multiple comparisons in functional imaging-a statistical perspective. Pers Psychol Sci 2009, 4:310-313.
    • (2009) Pers Psychol Sci , vol.4 , pp. 310-313
    • Lindquist, M.A.1    Gelman, A.2
  • 23
    • 0022965419 scopus 로고
    • A Bayesian approach to the multiplicity problem for significance testing with binomial data
    • Meng CYK, Dempster AP. A Bayesian approach to the multiplicity problem for significance testing with binomial data. Biometrics 1987, 43:301-311.
    • (1987) Biometrics , vol.43 , pp. 301-311
    • Meng, C.Y.K.1    Dempster, A.P.2
  • 30
    • 0021499429 scopus 로고
    • Stopping rules for clinical trials incorporating clinical opinion
    • Freedman LS, Lowe D, Macaskill P. Stopping rules for clinical trials incorporating clinical opinion. Biometrics 1984, 40:575-586.
    • (1984) Biometrics , vol.40 , pp. 575-586
    • Freedman, L.S.1    Lowe, D.2    Macaskill, P.3
  • 32
    • 37549015646 scopus 로고    scopus 로고
    • Practical Bayesian design and analysis for drug and device clinical trials
    • Hobbs BP, Carlin BP. Practical Bayesian design and analysis for drug and device clinical trials. J Biopharm Stat 2008, 18:54-80.
    • (2008) J Biopharm Stat , vol.18 , pp. 54-80
    • Hobbs, B.P.1    Carlin, B.P.2
  • 33
    • 26444433586 scopus 로고
    • Bayesian statistical inference for psychological research
    • EdwardsW, Lindman H, Savage LJ. Bayesian statistical inference for psychological research. Psychol Rev 1963, 70:193-242.
    • (1963) Psychol Rev , vol.70 , pp. 193-242
    • Edwards, W.1    Lindman, H.2    Savage, L.J.3
  • 35
    • 65349135286 scopus 로고    scopus 로고
    • The importance of proving the null
    • Gallistel CR. The importance of proving the null. Psychol Rev 2009, 116:439-453.
    • (2009) Psychol Rev , vol.116 , pp. 439-453
    • Gallistel, C.R.1
  • 36
    • 49149098695 scopus 로고    scopus 로고
    • Some remarks on Bayesian inference for one-way ANOVA models
    • Solari F, Liseo B, Sun D. Some remarks on Bayesian inference for one-way ANOVA models. Ann Inst Stat Math 2008, 60:483-498.
    • (2008) Ann Inst Stat Math , vol.60 , pp. 483-498
    • Solari, F.1    Liseo, B.2    Sun, D.3
  • 37
    • 41349110333 scopus 로고    scopus 로고
    • FDR and Bayesian multiple comparisons rules
    • Bernardo JM, Bayarri MJ, Berger JO, David AP, Heckerman D, et al., eds. Oxford: Oxford University Press
    • Mueller P, Parmigiani G, Rice K. FDR and Bayesian multiple comparisons rules. In: Bernardo JM, Bayarri MJ, Berger JO, David AP, Heckerman D, et al., eds. Bayesian Statistics 8. Oxford: Oxford University Press; 2007.
    • (2007) Bayesian Statistics , vol.8
    • Mueller, P.1    Parmigiani, G.2    Rice, K.3
  • 38
    • 33644910161 scopus 로고    scopus 로고
    • An exploration of aspects of Bayesian multiple testing
    • Scott JG, Berger JO. An exploration of aspects of Bayesian multiple testing. J Stat Plan Inf 2006, 136:2144-2162.
    • (2006) J Stat Plan Inf , vol.136 , pp. 2144-2162
    • Scott, J.G.1    Berger, J.O.2
  • 39
    • 0032354013 scopus 로고    scopus 로고
    • Bayesian multiple comparisons using Dirichlet process priors
    • Gopalan R, Berry D. Bayesian multiple comparisons using Dirichlet process priors. J Am Stat Assoc, 1998, 93:1130-1139.
    • (1998) J Am Stat Assoc , vol.93 , pp. 1130-1139
    • Gopalan, R.1    Berry, D.2
  • 40
    • 21944451533 scopus 로고    scopus 로고
    • Discussion of papers by Dempster and Aitken
    • Stone M. Discussion of papers by Dempster and Aitken. Stat Comput 1997, 7:263-264.
    • (1997) Stat Comput , vol.7 , pp. 263-264
    • Stone, M.1
  • 41
    • 56549109467 scopus 로고    scopus 로고
    • Bayes factors: prior sensitivity and model generalizability
    • Liu CC, Aitkin M. Bayes factors: prior sensitivity and model generalizability. J Math Psychol 2008, 52:362-375.
    • (2008) J Math Psychol , vol.52 , pp. 362-375
    • Liu, C.C.1    Aitkin, M.2
  • 42
    • 0002541945 scopus 로고
    • Ockham's razor and Bayesian analysis
    • Jefferys WH, Berger JO. Ockham's razor and Bayesian analysis. Am Sci 1992, 80:64-72.
    • (1992) Am Sci , vol.80 , pp. 64-72
    • Jefferys, W.H.1    Berger, J.O.2
  • 44
    • 79957441457 scopus 로고    scopus 로고
    • University of Texas, MD Anderson Cancer Center Department of Biostatistics Working Paper Series. The Berkeley Electronic Press, July. (Working Paper 47)
    • Johnson VE, Cook JD. Bayesian Design of Single-arm Phase II Clinical Trials with Continuous Monitoring. University of Texas, MD Anderson Cancer Center Department of Biostatistics Working Paper Series. The Berkeley Electronic Press. 2008, July. (Working Paper 47, http://www.bepress.com/mdandersonbiostat/paper47).
    • (2008) Bayesian Design of Single-arm Phase II Clinical Trials with Continuous Monitoring
    • Johnson, V.E.1    Cook, J.D.2
  • 45
    • 33745607467 scopus 로고
    • Human category learning: implications for back propagation models
    • Kruschke JK. Human category learning: implications for back propagation models. Connection Sci 1993, 5:3-36.
    • (1993) Connection Sci , vol.5 , pp. 3-36
    • Kruschke, J.K.1
  • 46
    • 31044453530 scopus 로고    scopus 로고
    • Modeling individual differences in cognition
    • Lee MD, Webb MR. Modeling individual differences in cognition. Psychon Bull Rev 2005, 12:605-621.
    • (2005) Psychon Bull Rev , vol.12 , pp. 605-621
    • Lee, M.D.1    Webb, M.R.2
  • 48
    • 0346789285 scopus 로고    scopus 로고
    • Sample size determination: a review
    • Adcock CJ. Sample size determination: a review. The Statistician 1997, 46:261-283.
    • (1997) The Statistician , vol.46 , pp. 261-283
    • Adcock, C.J.1
  • 49
    • 2642521061 scopus 로고    scopus 로고
    • Statistical evidence and sample size determination for Bayesian hypothesis testing
    • De Santis F. Statistical evidence and sample size determination for Bayesian hypothesis testing. J Stat Plan Inf 2004, 124:121-144.
    • (2004) J Stat Plan Inf , vol.124 , pp. 121-144
    • De Santis, F.1
  • 50
    • 33845740762 scopus 로고    scopus 로고
    • Using historical data for Bayesian sample size determination
    • De Santis F. Using historical data for Bayesian sample size determination. J R Stat Soc [Ser A] 2007, 170:95-113.
    • (2007) J R Stat Soc [Ser A] , vol.170 , pp. 95-113
    • De Santis, F.1
  • 51
    • 0002335698 scopus 로고
    • Sample size calculations for binomial proportions via highest posterior density intervals
    • Joseph L, Wolfson DB, du Berger R. Sample size calculations for binomial proportions via highest posterior density intervals. The Statistician 1995, 44:143-154.
    • (1995) The Statistician , vol.44 , pp. 143-154
    • Joseph, L.1    Wolfson, D.B.2    du Berger, R.3
  • 52
    • 0006283266 scopus 로고
    • Some comments on Bayesian sample size determination
    • Joseph L, Wolfson DB, du Berger R. Some comments on Bayesian sample size determination. The Statistician 1995, 44:167-171.
    • (1995) The Statistician , vol.44 , pp. 167-171
    • Joseph, L.1    Wolfson, D.B.2    du Berger, R.3
  • 53
    • 0041419339 scopus 로고    scopus 로고
    • A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
    • Wang F, Gelfand AE. A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models. Stat Sci 2002, 17:193-208.
    • (2002) Stat Sci , vol.17 , pp. 193-208
    • Wang, F.1    Gelfand, A.E.2
  • 54
    • 0010974004 scopus 로고    scopus 로고
    • Bayesian sample size calculations for hypothesis testing
    • Weiss R. Bayesian sample size calculations for hypothesis testing. The Statistician 1997, 46:185-191.
    • (1997) The Statistician , vol.46 , pp. 185-191
    • Weiss, R.1
  • 57
    • 84980156976 scopus 로고
    • The Bayesian approach to the interpretation of archaeological data
    • Litton CD, Buck CE. The Bayesian approach to the interpretation of archaeological data. Archaeometry 1995, 37:1-24.
    • (1995) Archaeometry , vol.37 , pp. 1-24
    • Litton, C.D.1    Buck, C.E.2
  • 58
    • 0002522407 scopus 로고
    • The promise of Bayesian inference for astrophysics
    • Feigelson ED, Babu GJ, eds. New York: Springer-Verlag
    • Loredo TJ. The promise of Bayesian inference for astrophysics. In: Feigelson ED, Babu GJ, eds. Statistical Challenges in Modern Astronomy. New York: Springer-Verlag; 1992, 275-297.
    • (1992) Statistical Challenges in Modern Astronomy , pp. 275-297
    • Loredo, T.J.1
  • 59
    • 0033777050 scopus 로고    scopus 로고
    • Bayesian methods in conservation biology
    • Wade PR. Bayesian methods in conservation biology. Conserv Biol 2000, 1308-1316.
    • (2000) Conserv Biol , pp. 1308-1316
    • Wade, P.R.1
  • 60
    • 2542636541 scopus 로고    scopus 로고
    • Bayesian inference in ecology
    • Ellison AM. Bayesian inference in ecology. Ecol Biol 2004, 7:509-520.
    • (2004) Ecol Biol , vol.7 , pp. 509-520
    • Ellison, A.M.1
  • 61
    • 0035876009 scopus 로고    scopus 로고
    • Commentary: practical advantages of Bayesian analysis of epidemiologic data
    • Dunson DB. Commentary: practical advantages of Bayesian analysis of epidemiologic data. Am J Epidemiol 2001, 153:1222-1226.
    • (2001) Am J Epidemiol , vol.153 , pp. 1222-1226
    • Dunson, D.B.1
  • 62
    • 0035861456 scopus 로고    scopus 로고
    • Bayesian inference of phylogeny and its impact on evolutionary biology
    • Huelsenbeck JP, Ronquist F, Nielsen R, Bollback JP. Bayesian inference of phylogeny and its impact on evolutionary biology. Science 2001, 294:2310-2314.
    • (2001) Science , vol.294 , pp. 2310-2314
    • Huelsenbeck, J.P.1    Ronquist, F.2    Nielsen, R.3    Bollback, J.P.4
  • 64
    • 3142698527 scopus 로고    scopus 로고
    • Bayesian analysis for political research
    • Jackman S. Bayesian analysis for political research. Ann Rev Political Sci 2004, 7:483-505.
    • (2004) Ann Rev Political Sci , vol.7 , pp. 483-505
    • Jackman, S.1
  • 68


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