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Volumn 25, Issue 1, 2016, Pages 352-365

Meta-analysis using Dirichlet process

Author keywords

Clustering; heterogeneity; log pseudo marginal likelihood; Markov chain Monte Carlo; odds ratio

Indexed keywords

DATA ANALYSIS; HUMAN; META ANALYSIS; PROCESS MODEL; STATISTICAL MODEL; STUDENT; ALZHEIMER DISEASE; BAYES THEOREM; BIOSTATISTICS; CLUSTER ANALYSIS; COMPUTER SIMULATION; EDUCATIONAL STATUS; MARKOV CHAIN; META ANALYSIS (TOPIC); MONTE CARLO METHOD; PSYCHOLOGY;

EID: 84958696227     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280212453891     Document Type: Article
Times cited : (8)

References (35)
  • 3
    • 0000780135 scopus 로고
    • Prior distributions on spaces of probability measures
    • Ferguson TS,. Prior distributions on spaces of probability measures. Ann Stat 1974; 2: 615-629.
    • (1974) Ann Stat , vol.2 , pp. 615-629
    • Ferguson, T.S.1
  • 4
    • 0026516696 scopus 로고
    • Meta-analysis for 2 × 2 tables: A Bayesian approach
    • Carlin JB,. Meta-analysis for 2 × 2 tables: a Bayesian approach. Stat Med 1992; 11: 141-158.
    • (1992) Stat Med , vol.11 , pp. 141-158
    • Carlin, J.B.1
  • 5
    • 0029612242 scopus 로고
    • Bayesian approaches to random-effects meta-analysis: A comparative study
    • Smith TC, Spiegelhalter DJ, Thomas A,. Bayesian approaches to random-effects meta-analysis: a comparative study. Stat med 1995; 14: 2685-2699.
    • (1995) Stat Med , vol.14 , pp. 2685-2699
    • Smith, T.C.1    Spiegelhalter, D.J.2    Thomas, A.3
  • 6
    • 0030463880 scopus 로고    scopus 로고
    • Borrowing strength from external trials in a meta-analysis
    • Higgins JPT, Whitehead A,. Borrowing strength from external trials in a meta-analysis. Stat Med 1996; 15: 2733-2749.
    • (1996) Stat Med , vol.15 , pp. 2733-2749
    • Higgins, J.P.T.1    Whitehead, A.2
  • 7
    • 0030717641 scopus 로고    scopus 로고
    • Investigating underlying risk as a source of heterogeneity in meta-analysis
    • Thompson SG, Smith TC, Sharp SJ,. Investigating underlying risk as a source of heterogeneity in meta-analysis. Stat Med 1997; 16: 2741-2758.
    • (1997) Stat Med , vol.16 , pp. 2741-2758
    • Thompson, S.G.1    Smith, T.C.2    Sharp, S.J.3
  • 8
    • 0035882387 scopus 로고    scopus 로고
    • Meta-analysis of continuous outcome data from individual patients
    • Higgins JPT, Whitehead A, Turner RM, et al. Meta-analysis of continuous outcome data from individual patients. Stat Med 2001; 20: 2219-2381.
    • (2001) Stat Med , vol.20 , pp. 2219-2381
    • Higgins, J.P.T.1    Whitehead, A.2    Turner, R.M.3
  • 9
    • 79953740257 scopus 로고    scopus 로고
    • Sequential methods for random-effects meta-analysis
    • Higgins JPT, Whitehead A, Simmonds M,. Sequential methods for random-effects meta-analysis. Stat Med 2011; 30: 903-921.
    • (2011) Stat Med , vol.30 , pp. 903-921
    • Higgins, J.P.T.1    Whitehead, A.2    Simmonds, M.3
  • 10
    • 79951558340 scopus 로고    scopus 로고
    • A random effects variance shift model for detecting and accommodating outliers in meta-analysis
    • Gumedze1 FN, Jackson D,. A random effects variance shift model for detecting and accommodating outliers in meta-analysis. BMC Med Res Method 2011; 11: 11-19.
    • (2011) BMC Med Res Method , vol.11 , pp. 11-19
    • Gumedze, F.N.1    Jackson, D.2
  • 11
    • 43149101297 scopus 로고    scopus 로고
    • A new approach to outliers in meta-analysis
    • Baker R, Jackson D,. A new approach to outliers in meta-analysis. Health c Manage Sci 2008; 11: 121-131.
    • (2008) Health C Manage Sci , vol.11 , pp. 121-131
    • Baker, R.1    Jackson, D.2
  • 15
    • 4043135291 scopus 로고    scopus 로고
    • Models and confidence intervals for true values in interlaboratory trials
    • Iyer HK, Wang CMJ, Mathew T,. Models and confidence intervals for true values in interlaboratory trials. J Am Stat Assoc 2004; 99: 1060-1071.
    • (2004) J Am Stat Assoc , vol.99 , pp. 1060-1071
    • Iyer, H.K.1    Wang, C.M.J.2    Mathew, T.3
  • 16
    • 14544281532 scopus 로고    scopus 로고
    • Bayesian model choice: Simple heterogeneity variance estimation for meta-analysis
    • Sidik K, Jonkman JN,. Bayesian model choice: simple heterogeneity variance estimation for meta-analysis. App Stat 2005; 54: 367-384.
    • (2005) App Stat , vol.54 , pp. 367-384
    • Sidik, K.1    Jonkman, J.N.2
  • 17
    • 38949124690 scopus 로고    scopus 로고
    • Flexible parametric models for random effects distributions
    • Lee K, Thompson S,. Flexible parametric models for random effects distributions. Stat Med 2008; 27: 418-434.
    • (2008) Stat Med , vol.27 , pp. 418-434
    • Lee, K.1    Thompson, S.2
  • 18
    • 21344479762 scopus 로고
    • Bayesian model choice: Estimating normal means with a dirichlet process prior
    • Escobar MD,. Bayesian model choice: estimating normal means with a dirichlet process prior. J Am Stat Assoc 1994; 89: 268-277.
    • (1994) J Am Stat Assoc , vol.89 , pp. 268-277
    • Escobar, M.D.1
  • 20
    • 84972808999 scopus 로고
    • Estimating normal means with a conjugate style dirichlet process prior
    • MacEachern SN,. Estimating normal means with a conjugate style dirichlet process prior. Commun Stat B 1994; 23: 727-741.
    • (1994) Commun Stat B , vol.23 , pp. 727-741
    • MacEachern, S.N.1
  • 22
    • 0002617436 scopus 로고
    • Distribution via polya urn schemes
    • Blackwell D, MacQueen JB,. Distribution via polya urn schemes. Ann Stat 1973; 1: 353-355.
    • (1973) Ann Stat , vol.1 , pp. 353-355
    • Blackwell, D.1    MacQueen, J.B.2
  • 23
    • 0000720609 scopus 로고
    • A constructive definition of Dirichlet priors
    • Sethuraman J,. A constructive definition of Dirichlet priors. Stat Sin 1994; 4: 639-650.
    • (1994) Stat Sin , vol.4 , pp. 639-650
    • Sethuraman, J.1
  • 24
    • 0032091593 scopus 로고    scopus 로고
    • Approximating distributions of random functionals of Ferguson-Dirichlet priors
    • Muliere P, Tardella L,. Approximating distributions of random functionals of Ferguson-Dirichlet priors. Can J Stat 1998; 26: 283-297.
    • (1998) Can J Stat , vol.26 , pp. 283-297
    • Muliere, P.1    Tardella, L.2
  • 25
    • 34047215010 scopus 로고    scopus 로고
    • Flexible random-effects models using Bayesian semi-parametric models: Applications to institutional comparisons
    • Ohlssen D, Sharples LD, Spiegelhalter DJ,. Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons. Stat Med 2007; 26: 2088-2112.
    • (2007) Stat Med , vol.26 , pp. 2088-2112
    • Ohlssen, D.1    Sharples, L.D.2    Spiegelhalter, D.J.3
  • 26
    • 0036661094 scopus 로고    scopus 로고
    • Dirichlet prior sieves in finite normal mixtures
    • Ishwaran H, Zarepour M,. Dirichlet prior sieves in finite normal mixtures. Stat Sin 2002; 12: 941-963.
    • (2002) Stat Sin , vol.12 , pp. 941-963
    • Ishwaran, H.1    Zarepour, M.2
  • 28
    • 0000501656 scopus 로고
    • Information theory as an extension of the maximum likelihood principle
    • (eds). Budapest: Akademiai Kiado, Tsahkadsor, Armenia, 2-8 September
    • Akaike H, Information theory as an extension of the maximum likelihood principle. In: Petrov BN, Csaki F, (eds). Second international symposium on information theory, Budapest: Akademiai Kiado, Tsahkadsor, Armenia, 2-8 September, 1973, pp. 267-281.
    • (1973) Second International Symposium on Information Theory , pp. 267-281
    • Akaike, H.1    Petrov, B.N.2    Csaki, F.3
  • 29
    • 84969425843 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G,. Estimating the dimension of a model. Ann Stat 1978; 6: 461-464.
    • (1978) Ann Stat , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 30
    • 0036435040 scopus 로고    scopus 로고
    • Bayesian measures of model complexity and fit
    • Spiegelhalter DJ, Best NG, Carlin BP, et al. Bayesian measures of model complexity and fit. Stat Method 2002; 64: 583-639.
    • (2002) Stat Method , vol.64 , pp. 583-639
    • Spiegelhalter, D.J.1    Best, N.G.2    Carlin, B.P.3
  • 31
    • 0000079228 scopus 로고
    • Model determination using predictive distributions with implementation via sampling-based methods (with discussion)
    • (eds). Claredon Press, Oxford
    • Gelfand AE, Dey DK, Chang H, Model determination using predictive distributions with implementation via sampling-based methods (with discussion). In: Bernardo JM, Berger JO, Dawid AP, Smith AFM, (eds). Bayesian statistics 4, Claredon Press, 1992 Oxford, 147-169.
    • (1992) Bayesian Statistics 4 , pp. 147-169
    • Gelfand, A.E.1    Dey, D.K.2    Chang, H.3    Bernardo, J.M.4    Berger, J.O.5    Dawid, A.P.6    Smith, A.F.M.7
  • 33
    • 0000539315 scopus 로고
    • Bayesian model choice: Asymptotics and exact calculations
    • Gelfand AE, Dey DK,. Bayesian model choice: asymptotics and exact calculations. J R Stat Soc, Ser B 1994; 56: 501-514.
    • (1994) J R Stat Soc, ser B , vol.56 , pp. 501-514
    • Gelfand, A.E.1    Dey, D.K.2
  • 34
    • 0021909115 scopus 로고
    • Beta blockade during and after myocardial infarction: An overview of the randomized trials
    • Yusuf S, Peto R, Lewis J, et al. Beta blockade during and after myocardial infarction: an overview of the randomized trials. Prog Cardiovas Dise 1985; XXVII: 335-371.
    • (1985) Prog Cardiovas Dise , vol.27 , pp. 335-371
    • Yusuf, S.1    Peto, R.2    Lewis, J.3
  • 35
    • 70349813799 scopus 로고    scopus 로고
    • Characterizing the variance improvement in linear Dirichlet random effects models
    • Kyung M, Gill J, Casella G,. Characterizing the variance improvement in linear Dirichlet random effects models. Stat Probab Lett 2009; 79: 2343-2350.
    • (2009) Stat Probab Lett , vol.79 , pp. 2343-2350
    • Kyung, M.1    Gill, J.2    Casella, G.3


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