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Evaluating the uncertainty of risk prediction in genetic counseling: a Bayesian approach.
Am J Med Genet. 1988 Nov; 31(3):513-9.AJ

Abstract

A general method to obtain the exact point estimate and the measure of uncertainty of recurrence risks for genetic counseling is present. This method, which follows Bayesian estimation theory, can be applied without restrictions of sample size, class of risk function, or parameter dimension. As an illustration, the recurrence risks for isolated cases in two autosomal dominant disorders with incomplete penetrance (mandibulofacial and fontonasal dyostoses) are estimated.

Authors+Show Affiliations

Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

3228134

Citation

Rogatko, A. "Evaluating the Uncertainty of Risk Prediction in Genetic Counseling: a Bayesian Approach." American Journal of Medical Genetics, vol. 31, no. 3, 1988, pp. 513-9.
Rogatko A. Evaluating the uncertainty of risk prediction in genetic counseling: a Bayesian approach. Am J Med Genet. 1988;31(3):513-9.
Rogatko, A. (1988). Evaluating the uncertainty of risk prediction in genetic counseling: a Bayesian approach. American Journal of Medical Genetics, 31(3), 513-9.
Rogatko A. Evaluating the Uncertainty of Risk Prediction in Genetic Counseling: a Bayesian Approach. Am J Med Genet. 1988;31(3):513-9. PubMed PMID: 3228134.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Evaluating the uncertainty of risk prediction in genetic counseling: a Bayesian approach. A1 - Rogatko,A, PY - 1988/11/1/pubmed PY - 1988/11/1/medline PY - 1988/11/1/entrez SP - 513 EP - 9 JF - American journal of medical genetics JO - Am J Med Genet VL - 31 IS - 3 N2 - A general method to obtain the exact point estimate and the measure of uncertainty of recurrence risks for genetic counseling is present. This method, which follows Bayesian estimation theory, can be applied without restrictions of sample size, class of risk function, or parameter dimension. As an illustration, the recurrence risks for isolated cases in two autosomal dominant disorders with incomplete penetrance (mandibulofacial and fontonasal dyostoses) are estimated. SN - 0148-7299 UR - https://www.unboundmedicine.com/medline/citation/3228134/Evaluating_the_uncertainty_of_risk_prediction_in_genetic_counseling:_a_Bayesian_approach_ L2 - https://onlinelibrary.wiley.com/resolve/openurl?genre=article&sid=nlm:pubmed&issn=0148-7299&date=1988&volume=31&issue=3&spage=513 DB - PRIME DP - Unbound Medicine ER -