INSTITUTE OF STATISTICS AND DECISION SCIENCES
Discussion Paper Series -- Search Result
Searching result by author Parmigiani
- 98-18
Giovanni Parmigiani
Decision Models In Screening For Breast Cancer
(abstract)
- 98-09 Francesca Dominici and Giovanni Parmigiani
Bayesian Semi-parametric Analysis Of Developmental Toxicology Data
(abstract)
- 98-08
Gloria M. Petersen, Giovanni Parmigiani and Duncan Thomas
Missense Mutations in Disease Genes:
A Bayesian Approach to Evaluate Causality
(abstract)
- 97-38 Edwin
Iversen Jr., Giovanni Parmigiani, Donald A. Berry and Joellen M.
Schildkraut
Genetic Susceptibility and Survival: Application to
Breast Cancer
(abstract)
- 97-36 Giovanni Parmigiani
Designing Observation Times for Interval Censored Data
(abstract)
- 97-34 Giovanni Parmigiani, Donald A. Berry and Omar Aguilar
Determining Carrier Probabilities for Breast Cancer
Susceptibility Genes BRCA1 and BRCA2: USER'S MANUAL
(abstract)
- 97-26
Giovanni Parmigiani, Donald A. Berry, Edwin Iversen. Jr., Peter Mueller, Joellen Schildkraut and Eric P. Winer
Modeling Risk of Breast Cancer and Decisions about Genetic Testing
(abstract)
- 97-24
Edwin Iversen Jr., Giovanni Parmigiani and Donald
Berry.
Validating Bayesian Prediction Models: a Case Study in
Genetic Susceptibility to Breast Cancer
(abstract)
- 97-17 Carota, Cinzia and Parmigiani, Giovanni.
Semiparametric Regression for Count Data
(abstract)
- 96-29
P. Mueller, G. Parmigiani, J. Schildkraut, and L. Tardella.
A Bayesian Hierarchical Approach for Combining Case-control and Prospective Studies
- 96-18
Cinzia Carota and Giovanni Parmigiani.
A Dirichlet Process
Elaboration Diagnostic for Binomial Goodness of Fit
- 96-15
Francesca Dominici, Giovanni Parmigiani, Kenneth H. Reckhow, and
Robert L. Wolpert.
Combining Information from Related Regressions
- 96-14
Francessca Dominici, Giovanni Parmigiani, Robert L. Wolpert, and
Vic Hasselblad.
Combining Incomplete Information on Headache
Treatments
- 96-12
Giovanni Parmigiani, Greg P. Samsa, Marek Ancukiewicz, Joseph Lipscomb,
Vic Hasselblad and David B. Matchar.
Assessing Uncertainty in
Cost-Effectiveness Analyses: Application to a Complex Decision Model
- 96-10
Francesca Dominici, Giovanni Parmigiani, and Merlise Clyde.
Conjugate Analysis of Multivariate Normal Data With Incomplete
Observations
- 96-06
Giovanni Parmigiani, Donald A. Berry, and Omar Aguilar.
Determining Carrier Probabilities for Breast Cancer Susceptibility Genes
BRCA1 and BRCA2
(Appeared in Am. J. Hum. Genet., 62:145-158, 1998)
- 95-39
Merlise Clyde, Peter Mueller, Giovanni Parmigiani.
Exploring
Expected Utility Surfaces by Markov Chains
- 95-37
Merlise Clyde, Giovanni Parmigiani and Brani Vidakovic
Multiple
Shrinkage and Subset Selection in Wavelets (revised 9/15/97)
- 95-36
Josesph Lipscomb, Giovanni Parmigiani and Vic Hasselblad.
Combining Expert Judgement by Hierarchical Modelling: An
Application to Physician Staffing
- 95-09
Giovanni Parmigiani, Marek Ancukiewicz and David Matchar.
Decision
Models in Clinical Recommendations Development: The Stroke Prevention
Policy Model
- 95-07
Merlise Clyde and Giovanni Parmigiani.
Orthogonalizations and Prior
Distributions for Orthogonalized Model Mixing
- 94-32
Merlise Clyde, Heather DeSimone and Giovanni Parmigiani.
Prediction via Orthogonalized Model Mixing
- 94-21
Cinzia Carota and Giovanni Parmigiani.
On Bayes Factors for
Nonparametric Alternatives
- 94-18
Giovanni Parmigiani and Peter Mueller.
Simulation Approach to
One-Stage and Sequential Optimal Design Problems
- 94-14
Merlise A. Clyde and Giovanni Parmigiani.
Protein Construct
Storage: Bayesian Variable Selection and Prediction With Mixtures
- 93-27
Merlise Clyde, Peter Mueller, and Giovanni Parmigiani.
Optimal
Design for Heart Defibrillators
- 93-25 Chenchang Li, Peter Mueller, and Giovanni
Parmigiani.
Optimal Sample Size for Two Binomials
- 93-20
Cinzia Carota, Giovanni Parmigiani and Nick Polson.
Diagnostic
Measures for Model Criticism
- 93-19 Giovanni Parmigiani and Li Chengchang.
This paper has been deleted from the series.
- 93-18
Giovanni Parmigiani.
Timing Medical Examinations via Intensity
Functions
- 93-15
Giovanni Parmigiani.
- Truncated Recursive Algorithms for Scheduling
- 93-07
Giovanni Parmigiani and Donald A. Berry.
Applications of Lindley
Information Measure to the Design of Clinical Experiments
- 93-06 Michael Lavine and Giovanni Parmigiani.
Using
Probability to Learn from Data
- 93-05 Peter
Mueller and Giovanni Parmigiani.
Numerical Evaluation of
Information Theoretic Measures
- 92-38 Giovanni Parmigiani.
Optimal Scheduling of
Fallible Inspections
- 92-34 Giovanni Parmigiani.
Design of Partially
Observable Survival Data
- 92-33
Peter Mueller and Giovanni Parmigiani.
Optimal Design via Curve
Fitting of Monte Carlo Experiments
- 92-28 Giovanni Parmigiani.
Inspection Times for
Stand-by Units
- 92-23 Pietro Muliere, Giovanni Parmigiani and
Nicholas G. Polson.
A Note on the Residual Entropy Function
- 92-11 Giovanni Parmigiani.
Scheduling Inspections in
Reliability
- 91-25 Giovanni Parmigiani.
Inspections for Log-Convex Failure Distributions
- 91-24 Giovanni Parmigiani and Pietro Muliere.
Utility and Means in the Thirties
- 91-23 Giovanni Parmigiani and Pietro Muliere.
On Quasi-Means
- 91-20 Giovanni Parmigiani and David L. Banks.
Preanalysis of Superlarge Industrial Datasets
-
91-17
Giovanni Parmigiani and Mark S. Kamlet.
A Cost-Utility Analysis of Alternative Strategies in Screening for
Breast Cancer
- 91-16 Giovanni Parmigiani.
Optimal Scheduling of Medical Exams: The Case of Breast Cancer
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