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Optimal Bayesian two-phase designs

Publication ,  Journal Article
Erkanli, A; Soyer, R; Angold, A
Published in: Journal of Statistical Planning and Inference
January 5, 1998

In this paper we present a Bayesian decision theoretic approach to the two-phase design problem. The solution of such sequential decision problems is usually difficult to obtain because of their reliance on preposterior analysis. In overcoming this problem, we adopt the Monte-Carlo-based approach of Müller and Parmigiani (1995) and develop optimal Bayesian designs for two-phase screening tests. A rather attractive feature of the Monte Carlo approach is that it facilitates the preposterior analysis by replacing it with a sequence of scatter plot smoothing/regression techniques and optimization of the corresponding fitted surfaces. The method is illustrated for depression in adolescents using data from past studies. © 1998 Elsevier Science B.V.

Duke Scholars

Published In

Journal of Statistical Planning and Inference

DOI

ISSN

0378-3758

Publication Date

January 5, 1998

Volume

66

Issue

1

Start / End Page

175 / 191

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics
 

Citation

APA
Chicago
ICMJE
MLA
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Erkanli, A., Soyer, R., & Angold, A. (1998). Optimal Bayesian two-phase designs. Journal of Statistical Planning and Inference, 66(1), 175–191. https://doi.org/10.1016/s0378-3758(97)00075-x
Erkanli, A., R. Soyer, and A. Angold. “Optimal Bayesian two-phase designs.” Journal of Statistical Planning and Inference 66, no. 1 (January 5, 1998): 175–91. https://doi.org/10.1016/s0378-3758(97)00075-x.
Erkanli A, Soyer R, Angold A. Optimal Bayesian two-phase designs. Journal of Statistical Planning and Inference. 1998 Jan 5;66(1):175–91.
Erkanli, A., et al. “Optimal Bayesian two-phase designs.” Journal of Statistical Planning and Inference, vol. 66, no. 1, Jan. 1998, pp. 175–91. Scopus, doi:10.1016/s0378-3758(97)00075-x.
Erkanli A, Soyer R, Angold A. Optimal Bayesian two-phase designs. Journal of Statistical Planning and Inference. 1998 Jan 5;66(1):175–191.
Journal cover image

Published In

Journal of Statistical Planning and Inference

DOI

ISSN

0378-3758

Publication Date

January 5, 1998

Volume

66

Issue

1

Start / End Page

175 / 191

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0104 Statistics