RESP

Marginal versus conditional odds ratios when updating risk prediction models

Epidemiology. 2022 Jul 1;33(4):555-558. doi: 10.1097/EDE.0000000000001489.

Model-Based ROC Curve: Examining the Effect of Case Mix and Model Calibration on the ROC Plot

Medical Decision Making. October 2021. doi:10.1177/0272989X211050909

Uncertainty and the value of information in risk prediction modeling

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making. 2022 Jul;42(5):661-671. doi: 10.1177/0272989X221078789.

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making....

Value-of-Information Analysis for External Validation of Risk Prediction Models

Med Decis Making. 2023 Jul;43(5):564-575. doi: 10.1177/0272989X231178317.

Methodological concerns about "concordance-statistic for benefit" as a measure of discrimination in predicting treatment benefit

Diagn Progn Res. 2023 May 16;7(1):10. doi: 10.1186/s41512-023-00147-z

Non-parametric inference on calibration of predicted risks

Stat Med. 2024 Jun 11. doi: 10.1002/sim.10138.

Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions

Med Decis Making. 2023 Jul;43(5):621-626

Programmable Interface for Statistical & Simulation Models

arXiv:2202.08358v2

A Threshold-Free Summary Index for Quantifying the Capacity of Covariates to Yield Efficient Treatment Rules

Statistic in Medicine. 2020;10.1002/sim.8481

The association between rate and severity of exacerbations in chronic obstructive pulmonary disease: an application of a joint frailty-logistic model

Am J Epidemiol. 2016;184(9):681–689

Relative Impact Characteristic (RIC) curve: a graphical tool to visualize and quantify the clinical utility and population-level consequences of implementing markers

Ann Epidemiol. 2018 Oct;28(10):717-723.e3

Network vs. Pairwise Meta-Analyses: A Case Study of the Impact of an Evidence-Synthesis Paradigm on Value of Information Outcome

Pharmacoeconomics. 2014 Oct;32(10):995-1004

A statistical method was used for the meta-analysis of tests for latent TB in the absence of a gold standard, combining random-effect and latent-class methods to estimate test accuracy

J Clin Epidemiol. 2010 Mar;63(3):257-69

Incorporating external evidence in trial-based cost-effectiveness analysis: the use of resampling methods

Trials. 2014 Jun 3;15:201

The impact of incorporating Bayesian network meta-analysis in cost-effectiveness analysis – a case study of pharmacotherapies for moderate to severe COPD

Cost Eff Resour Alloc. 2014 Mar 13;12(1):8

Two-level resampling as a novel method for calculation of the expected value of sample information in economic trials

Health Econ. 2013 Jul;22(7):877-82

A Quantitative Benefit-Risk Analysis of Isoniazid for Treatment of Latent Tuberculosis Infection Using Incremental Benefit Framework

Value Health. 2013 Jan-Feb;16(1):66-75

Need for speed: an efficient algorithm for calculation of single-parameter expected value of partial perfect information

Value Health. 2013;16(2):438–448

Lowering the P Value Threshold

Lowering the #pvalue threshold for phase 3 RCTs is inappropriate, as high prior probability of replication (68%) leads to high positive predictive values (97%) when p=0.05

Lowering the #pvalue threshold for phase 3 RCTs is inappropriate, as high prior probability of replication (68%) leads to high p...

The “Lost NNT” can be used to represent uncertainty surrounding number needed to treat

Currently, confidence interval is the standard way of communicating uncertainty around the number needed to treat (NNT). But the CI is not directly relevant to the treatment decision.Uncertainty around treatment only matters because it may result in the ch...

Currently, confidence interval is the standard way of communicating uncertainty around the number needed to treat (NNT). But the...

Uncertainty and the value of information in risk prediction modeling

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making. 2022 Jul;42(5):661-671. doi: 10.1177/0272989X221078789.

Sadatsafavi M, Yoon Lee T, Gustafson P. Uncertainty and the Value of Information in Risk Prediction Modeling. Med Decis Making....

Developing an online infrastructure to enhance model accessibility and validation: The Peer Models Network

Harvard S, Adibi A, Easterbrook A, Werker GR, Murphy D, Grant D, Mclean A, Majdzadeh Z, Sadatsafavi M. Developing an online infrastructure to enhance model accessibility and validation: The Peer Models Network. Pharmacoeconomics. 2022 Oct;40(10):1005-1009....

Harvard S, Adibi A, Easterbrook A, Werker GR, Murphy D, Grant D, Mclean A, Majdzadeh Z, Sadatsafavi M. Developing an online infr...

Moving beyond AUC: decision curve analysis for quantifying net benefit of risk prediction models

Eur Respir J. 2021 Sep 9:2101186. doi: 10.1183/13993003.01186-2021

Should the number of acute exacerbations in the previous year be used to guide treatments in COPD?

Eur Respir J. 2020 Aug 27;2002122. doi: 10.1183/13993003.02122-2020.

Heterogeneity’s ruses: the neglected role of between-individual variability in longitudinal studies of COPD exacerbations

Thorax. 2014 Nov;69(11):1043-4

The association between previous and future severe exacerbations of chronic obstructive pulmonary disease: Updating the literature using robust statistical methodology.

Using robust statistical methodology that controlled for heterogeneity in exacerbation rates among individuals, we demonstrated potential causal associations among past and future severe exacerbations, albeit the magnitude of association was noticeably low...

Using robust statistical methodology that controlled for heterogeneity in exacerbation rates among individuals, we demonstrated...

Faculty of Pharmaceutical Sciences & UBC Division of Respiratory Medicine Respiratory Evaluation Sciences Program

Faculty of Pharmaceutical Sciences & UBC Division of Respiratory Medicine
Respiratory Evaluation Sciences Program