Publications by Paul Gustafson
2018
. When Is a Sensitivity Parameter Exactly That?. Statistical Science. Institute of Mathematical Statistics; 2018;33:86–95.
. Conditional equivalence testing: An alternative remedy for publication bias. PloS one. Public Library of Science; 2018;13:e0195145.
. Bayesian inference for unidirectional misclassification of a binary response trait. Statistics in medicine. Wiley Online Library; 2018;37:933–947.
. Global estimation of exposure to fine particulate matter (PM2. 5) from household air pollution. Environment international. Elsevier; 2018;120:354–363.
. Comparison of statistical approaches dealing with time-dependent confounding in drug effectiveness studies. Statistical methods in medical research. SAGE Publications Sage UK: London, England; 2018;27:1709–1722.
. Relative impact characteristic curve: a graphical tool to visualize and quantify the clinical utility and population-level consequences of implementing markers. Annals of epidemiology. Elsevier; 2018;.
2017
. Inferring population size: extending the multiplier method to incorporate multiple traits with a likelihood-based approach. Stat. Wiley Online Library; 2017;6:4–13.
. On the application of statistical learning approaches to construct inverse probability weights in marginal structural cox models: hedging against weight-model misspecification. Communications in Statistics-Simulation and Computation. Taylor & Francis; 2017;46:7668–7697.
. Incidence, risk factors, and prevention of hepatitis C reinfection: a population-based cohort study. The Lancet Gastroenterology & Hepatology. Elsevier; 2017;2:200–210.
. Role of primary T-cell immunodeficiency and hepatitis B coinfection on spontaneous clearance of hepatitis C: The BC Hepatitis Testers Cohort. Journal of viral hepatitis. Wiley Online Library; 2017;24:421–429.
. Hepatitis C cross-genotype immunity and implications for vaccine development. Scientific reports. Nature Publishing Group; 2017;7:12326.
. Correction of odds ratios in case-control studies for exposure misclassification with partial knowledge of the degree of agreement among experts who assessed exposures. Occup Environ Med. BMJ Publishing Group Ltd; 2017;:oemed–2017.
. Bayesian analysis of pair-matched case-control studies subject to outcome misclassification. Statistics in medicine. Wiley Online Library; 2017;36:4196–4213.
. Network meta-analysis of disconnected networks: How dangerous are random baseline treatment effects?. Research synthesis methods. Wiley Online Library; 2017;8:465–474.
. A comparison of Bayesian and Monte Carlo sensitivity analysis for unmeasured confounding. Statistics in medicine. Wiley Online Library; 2017;36:2887–2901.
2016
. An assessment of population-based screening guidelines versus clinical prediction rules for chlamydia and gonorrhea case finding. Preventive medicine. Academic Press; 2016;89:51–56.
. Disconnected by design: analytic approach in treatment networks having no common comparator. Research synthesis methods. Wiley Online Library; 2016;.
. Hypothesis Testing for an Exposure–Disease Association in Case–Control Studies Under Nondifferential Exposure Misclassification in the Presence of Validation Data: Bayesian and Frequentist Adjustments. Statistics in Biosciences. Springer; 2016;:1–19.
. Comparison of Statistical Approaches for Dealing With Immortal Time Bias in Drug Effectiveness Studies. American Journal of Epidemiology. Oxford University Press; 2016;:kwv445.
. Bayesian regression models adjusting for unidirectional covariate misclassification. Canadian Journal of Statistics. 2016;44:198–218.
. Association between the use of selective serotonin reuptake inhibitors and multiple sclerosis disability progression. Pharmacoepidemiology and Drug Safety. 2016;.
. A validation study of a clinical prediction rule for screening asymptomatic chlamydia and gonorrhoea infections among heterosexuals in British Columbia. Sexually transmitted infections. BMJ Publishing Group Ltd; 2016;92:12–18.
. Bayesian adjustment for the misclassification in both dependent and independent variables with application to a breast cancer study. Statistics in Medicine. 2016;.
2015
. Gene-enviroment Independence in case-control studies: Issues of parameterization and Bayesian inference. Statistics in Biosciences. 2015;.
. Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data. Chapman and Hall / CRC Press; 2015.
. Discussion of ``On Bayesian Estimation of Marginal Structural Models''. Biometrics. Wiley-Blackwell; 2015;71:291–293.
. Beta-interferon exposure and onset of secondary progressive multiple sclerosis. European Journal of Neurology. Wiley Online Library; 2015;22:990–1000.
. Risk of intracranial hypertension with intrauterine levonorgestrel. Therapeutic advances in drug safety. SAGE Publications; 2015;6:110–113.
. Multiple Sclerosis in Older Adults: The Clinical Profile and Impact of Interferon Beta Treatment. BioMed research international. Hindawi Publishing Corporation; 2015;2015.
2014
. Discordance in hormone receptor status among primary, metastatic, and second primary breast cancers: biological difference or misclassification?. The oncologist. AlphaMed Press; 2014;19:592–601.
. Deriving and validating a risk estimation tool for screening asymptomatic chlamydia and gonorrhea. Sexually transmitted diseases. LWW; 2014;41:706–712.
. Predictors identifying those at increased risk for STDs: a theory-guided review of empirical literature and clinical guidelines. International journal of STD & AIDS. SAGE Publications; 2014;:0956462414555930.
. A critical appraisal of risk models for predicting sexually transmitted infections. Sexually transmitted diseases. LWW; 2014;41:321–330.
. On the Impact of Misclassification in an Ordinal Exposure Variable. Epidemiologic Methods. 2014;3:97–106.
. Marginal Structural Cox Models for Estimating the Association Between β-Interferon Exposure and Disease Progression in a Multiple Sclerosis Cohort. American journal of epidemiology. Oxford University Press; 2014;180:160–171.
. Bayesian sensitivity analyses for hidden sub-populations in weighted sampling. Canadian Journal of Statistics. Wiley Online Library; 2014;42:436–450.
. Commentary: Priors, Parameters, and Probability: A Bayesian Perspective on Sensitivity Analysis. Epidemiology. LWW; 2014;25:910–912.
. Bayesian inference in partially identified models: Is the shape of the posterior distribution useful?. Electronic Journal of Statistics. 2014;8:476-496.
. Bayesian Statistical Methodology for Observational Health Sciences Data. Statistics in Action: A Canadian Outlook. CRC Press; 2014;:163.
. Misclassification. In Handbook of Epidemiology. Springer; 2014. pp. 639–658.
. Investigation of heterogeneity in the association between interferon beta and disability progression in multiple sclerosis: an observational study. European Journal of Neurology. Wiley Online Library; 2014;21:835–844.
. Association between beta-interferon exposure and hospital events in multiple sclerosis. Pharmacoepidemiology and drug safety. Wiley Online Library; 2014;23:1213–1222.
2013
. Investigations of Gene-Disease Associations: Costs and Benefits of Environmental Data. Epidemiology. LWW; 2013;24:562–568.
. Risk prediction in sexual health contexts: Protocol. JMIR research protocols. JMIR Publications Inc.; 2013;2.
. What do measures of agreement ($ąppa$) tell us about quality of exposure assessment? Theoretical analysis and numerical simulation. BMJ open. British Medical Journal Publishing Group; 2013;3:e003952.
. A comparison of Bayesian hierarchical modeling with group-based exposure assessment in occupational epidemiology. Statistics in medicine [Internet]. Wiley Online Library; 2013;. http://onlinelibrary.wiley.com/doi/10.1002/sim.5791/abstract
. Impact of Statistical Adjustment for Frequency of Venue Attendance in a Venue-based Survey of Men Who Have Sex With Men. American Journal of Epidemiology. Oxford University Press; 2013;177:1157–1164.
. Bayesian Analysis of Frailty Models. Handbook of Survival Analysis. CRC Press; 2013;:475.
. Interferon beta and long-term disability in multiple sclerosis. JAMA neurology. American Medical Association; 2013;70:651–653.
2012
. Double-robust estimators: slightly more Bayesian than meets the eye?. The international journal of biostatistics. 2012;8:1–15.