| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Bayesian Multiparameter Evidence Synthesis to Inform Decision Making: A Case Study in Metastatic Hormone-Refractory Prostate Cancer
|
Tan, Sze Huey
|
|
2018
|
38 |
7 |
p. 834-848
|
article
|
| 2 |
Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence
|
Witteveen, Annemieke
|
|
2018
|
38 |
7 |
p. 822-833
|
article
|
| 3 |
Discrepancy between Health Care Rationing at the Bedside and Policy Level
|
Persson, Emil
|
|
2018
|
38 |
7 |
p. 881-887
|
article
|
| 4 |
Economically Efficient Hepatitis C Virus Treatment Prioritization Improves Health Outcomes
|
Cipriano, Lauren E.
|
|
2018
|
38 |
7 |
p. 849-865
|
article
|
| 5 |
Estimation of a Relative Risk Effect Size when Using Continuous Outcomes Data: An Application of Methods in the Prevention of Major Depression and Eating Disorders
|
Lee, Yong Yi
|
|
2018
|
38 |
7 |
p. 866-880
|
article
|
| 6 |
Exploring the Effects of Early Censoring and Analysis of Clinical Trial Survival Data on Effectiveness and Cost-effectiveness Estimation through a Case Study in Advanced Breast Cancer
|
Bagust, Adrian
|
|
2018
|
38 |
7 |
p. 789-796
|
article
|
| 7 |
Future Directions for Cost-effectiveness Analyses in Health and Medicine
|
Neumann, Peter J.
|
|
2018
|
38 |
7 |
p. 767-777
|
article
|
| 8 |
Nonidentifiability in Model Calibration and Implications for Medical Decision Making
|
Alarid-Escudero, Fernando
|
|
2018
|
38 |
7 |
p. 810-821
|
article
|
| 9 |
Optimal Information Collection Policies in a Markov Decision Process Framework
|
Cipriano, Lauren E.
|
|
2018
|
38 |
7 |
p. 797-809
|
article
|
| 10 |
Toward Alignment in the Reporting of Economic Evaluations of Diagnostic Tests and Biomarkers: The AGREEDT Checklist
|
Kip, Michelle M.A.
|
|
2018
|
38 |
7 |
p. 778-788
|
article
|
| 11 |
Value of Information Choices that Influence Estimates: A Systematic Review of Prevailing Considerations
|
Koffijberg, Hendrik
|
|
2018
|
38 |
7 |
p. 888-900
|
article
|
Journal description