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A. Gelman, D. Rubin (1992)
Inference from Iterative Simulation Using Multiple SequencesStatistical Science, 7
P. Garthwaite, J. Dickey (1988)
Quantifying Expert Opinion in Linear Regression ProblemsJournal of the royal statistical society series b-methodological, 50
R. Park, A. Fink, R. Brook, M. Chassin, K. Kahn, N. Merrick, J. Kosecoff, D. Solomon (1986)
Physician ratings of appropriate indications for six medical and surgical procedures.American journal of public health, 76 7
K. Chaloner, G. Duncan (1983)
Assessment of a Beta Prior Distribution: PM ElicitationThe Statistician, 32
D. Sackett, M. Gent (1979)
Controversy in counting and attributing events in clinical trials.The New England journal of medicine, 301 26
Purushottam Laud, J. Ibrahim (1996)
Predictive specification of prior model probabilities in variable selectionBiometrika, 83
Alicia Toledano, Constantine Gatsonis (1996)
Ordinal regression methodology for ROC curves derived from correlated data.Statistics in medicine, 15 16
K. Chaloner, T. Church, T. Louis, J. Matts (1993)
Graphical Elicitation of a Prior Distribution for a Clinical TrialThe Statistician, 42
A. Dempster (1997)
The direct use of likelihood for significance testingStatistics and Computing, 7
Farkad Ezzet, John Whitehead (1991)
A random effects model for ordinal responses from a crossover trial.Statistics in medicine, 10 6
C. Clogg (1979)
Some latent structure models for the analysis of likert-type dataSocial Science Research, 8
Ian Coulter, Alan Adams, P. Shekelle (1995)
Impact of varying panel membership on ratings of appropriateness in consensus panels: a comparison of a multi- and single disciplinary panel.Health services research, 30 4
D. Bates, E. Miller, S. Bernstein, P. Hauptman, L. Leape (1997)
Coronary Angiography and Angioplasty after Acute Myocardial InfarctionAnnals of Internal Medicine, 126
A. Agresti, J. Lang (1993)
A proportional odds model with subject-specific effects for repeated ordered categorical responsesBiometrika, 80
B. Nandram, Ming-Hui Chen (1996)
Reparameterizing the generalized linear model to accelerate gibbs sampler convergenceJournal of Statistical Computation and Simulation, 54
W. Gilks, A. Thomas, D. Spiegelhalter (1994)
A Language and Program for Complex Bayesian ModellingThe Statistician, 43
L. Hilborne, L. Leape, S. Bernstein, R. Park, M. Fiske, C. Kamberg, C. Roth, R. Brook (1993)
The appropriateness of use of percutaneous transluminal coronary angioplasty in New York State.JAMA, 269 6
R. Brook, R. Park, M. Chassin, D. Solomon, J. Keesey, J. Kosecoff (1990)
Predicting the appropriate use of carotid endarterectomy, upper gastrointestinal endoscopy, and coronary angiography.The New England journal of medicine, 323 17
Y. Qu, M. Tan, M. Kutner (1996)
Random effects models in latent class analysis for evaluating accuracy of diagnostic tests.Biometrics, 52 3
D. Spiegelhalter, L. Freedman (1986)
A predictive approach to selecting the size of a clinical trial, based on subjective clinical opinion.Statistics in medicine, 5 1
Chaloner Chaloner, Duncan Duncan (1983)
Assessment of a Beta prior distributionStatistician, 32
Gustavo Gilardoni, M. Clayton (1993)
On Reaching a Consensus Using Degroot's Iterative PoolingAnnals of Statistics, 21
Y. Qu, Marion Piedmonte, Sharon Medendorp (1995)
Latent variable models for clustered ordinal data.Biometrics, 51 1
D. Hedeker, R. Gibbons (1994)
A random-effects ordinal regression model for multilevel analysis.Biometrics, 50 4
J. Uebersax, W. Grove (1990)
Latent class analysis of diagnostic agreement.Statistics in medicine, 9 5
J. Albert, S. Chib (1993)
Bayesian analysis of binary and polychotomous response dataJournal of the American Statistical Association, 88
A. Epstein (1995)
Performance reports on quality--prototypes, problems, and prospects.The New England journal of medicine, 333 1
S. Bernstein, E. McGlynn, A. Siu, C. Roth, M. Sherwood, J. Keesey, J. Kosecoff, N. Hicks, R. Brook, J. Beloff, B. Mansheim, N. Goldfield, Francis Lieb, D. Ferriss, B. Perry, G. Plotkin, J. Leaning, E. Marine, K. Curtin, J. Austin, A. Wiesenthal, T. Carr, S. Sapin, I. Johnson, G. Swanson, S. Leatherman (1993)
The Appropriateness of Hysterectomy: A Comparison of Care in Seven Health PlansJAMA, 269
C. Genest, M. Schervish (1985)
Modeling Expert Judgments for Bayesian UpdatingAnnals of Statistics, 13
R. Crouchley (1995)
A Random-Effects Model for Ordered Categorical DataJournal of the American Statistical Association, 90
V. Johnson (1996)
On Bayesian Analysis of Multirater Ordinal Data: An Application to Automated Essay GradingJournal of the American Statistical Association, 91
N. Singpurwalla (1988)
An Interactive PC-Based Procedure for Reliability Assessment Incorporating Expert Opinion and Survival DataJournal of the American Statistical Association, 83
M. Degroot (1974)
Reaching a ConsensusJournal of the American Statistical Association, 69
J. Rost (1988)
Rating scale analysis with latent class modelsPsychometrika, 53
J. Kahan, R. Park, L. Leape, S. Bernstein, L. Hilborne, Lori Parker, C. Kamberg, D. Ballard, R. Brook, R. Brook (1996)
Variations by specialty in physician ratings of the appropriateness and necessity of indications for procedures.Medical care, 34 6
S. Bernstein, E. McGlynn, A. Siu, C. Roth, M. Sherwood, J. Keesey, J. Kosecoff, N. Hicks, R. Brook (1993)
The appropriateness of hysterectomy. A comparison of care in seven health plans. Health Maintenance Organization Quality of Care Consortium.JAMA, 269 18
S. Bernstein, J. Kosecoff, D. Gray, J. Hampton, R. Brook (1993)
The Appropriateness of the Use of Cardiovascular Procedures: British Versus U.S. PerspectivesInternational Journal of Technology Assessment in Health Care, 9
D. Harville, Robert Mee (1984)
A mixed-model procedure for analyzing ordered categorical dataBiometrics, 40
M. Espeland, S. Handelman (1989)
Using latent class models to characterize and assess relative error in discrete measurements.Biometrics, 45 2
J. Fleiss (1987)
The design and analysis of clinical experiments
S. Normand, M. Glickman, T. Ryan (1997)
Modeling Mortality Rates for Elderly Heart Attack Patients: Profiling Hospitals in the Cooperative Cardiovascular Project
L. Freedman, D. Spiegelhalter (1983)
The Assessment of the Subjective Opinion and its Use in Relation to Stopping Rules for Clinical TrialsThe Statistician, 32
P. Garthwaite, J. Dickey (1992)
Elicitation of Prior Distributions for Variable-Selection Problems in RegressionAnnals of Statistics, 20
Purushottam Laud, J. Ibrahim (1995)
Predictive Model SelectionJournal of the royal statistical society series b-methodological, 57
J. Uebersax, W. Grove (1993)
A latent trait finite mixture model for the analysis of rating agreement.Biometrics, 49 3
J. Uebersax (1993)
Statistical Modeling of Expert Ratings on Medical Treatment AppropriatenessJournal of the American Statistical Association, 88
J. Jansen (1990)
On the Statistical Analysis of Ordinal Data When Extravariation is PresentApplied statistics, 39
Measurements of the quality of health care, in particular the underuse and overuse of medical therapies and diagnostic tests, often involve employment of medical practice guidelines to assess the appropriateness of treatments. This paper presents a case study of a Bayesian analysis for the development of medical guidelines based on expert opinion, using ordinal categorical rater data. We develop guidelines for the use of coronary angiography following an acute myocardial infarction (AMI) for 890 clinical indications using statistical models fit to appropriateness ratings obtained from a nine‐member expert panel. The main foci of our analyses were on the estimation of an appropriateness score for each of the clinical indications, an associated measure of precision, and functions of the underlying score. We considered two classes of models that assume the ratings are either in the form of grouped normal data or are ungrouped variables arising from a normal distribution, while permitting rater effects and indication heterogeneity in both. We estimated models using Markov chain Monte Carlo methods and constructed indices quantifying appropriateness based on posterior probabilities of selected model parameters. We compared our model‐based approach to the standard approach currently employed in medical guideline development and found that the standard approach correctly identified 99 per cent of the appropriate indications while overestimating appropriateness 18 per cent of the time compared to our model‐based approach. Copyright © 1999 John Wiley & Sons, Ltd.
Statistics in Medicine – Wiley
Published: Jan 30, 1999
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