Statistician working in statistical methods for observational studies. Interested in propensity score methods for causal inference. All views my own.
Toronto, Ontario
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Graphical methods to illustrate the nature of the relation between a continuous variable and the outcome when using restricted cubic splines with a Cox proportional hazards model. Open access paper in SMMR. #statstwitter #stats journals.sagepub.com/doi/10.…
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New open access paper on Imputation of incomplete ordinal and nominal data by predictive mean matching in Statistical Methods for Medical Research. journals.sagepub.com/doi/10.…
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Open access paper on evaluating the median p-value method for assessing the statistical significance of tests when using multiple imputation tandfonline.com/doi/full/10.…
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Open access paper on a Variance Estimator for Marginal Cox Regression Models Fit to Non-Nested Multilevel or Clustered Data. #multilevel #statistics #clustereddata #survivalanalysis onlinelibrary.wiley.com/doi/…
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New open-access paper: Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival Analysis. #stats #statstwitter onlinelibrary.wiley.com/doi/…
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The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration | Diagnostic and Prognostic Research. New open access paper. #stats #statstwitter. diagnprognres.biomedcentral.…
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A Comparison of Variance Estimators for Logistic Regression Models Estimated Using Generalized Estimating Equations (GEE) in the Context of Observational Health Services Research. New open access paper. #stats #statstwitter onlinelibrary.wiley.com/doi/…
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Evaluating the median p-value method for assessing the statistical significance of tests when using multiple imputation. New open access paper published in Journal of Applied Statistics. #stats #statstwitter tandfonline.com/doi/full/10.…
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Using Multilevel Models and Generalized Estimating Equation Models to Account for Clustering in Neurology Clinical Research | Neurology. Open access tutorial article on statistical methods for the analysis of multilevel and clustered data. neurology.org/doi/10.1212/WN…
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New open access paper on multiple imputation with competing risk outcomes using complex clinically realistic simulations: link.springer.com/epdf/10.10…
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New paper on the effect of number of clusters and magnitude of within‐cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in observational research onlinelibrary.wiley.com/doi/…
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Just published in JAMA: an introductory tutorial: Accounting for Competing Risks in Clinical Research with @hein_putter and @mar1a_ib. jamanetwork.com/journals/jam…
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New open access paper in Statistical Methods in Medical Research on the performance of marginal structural models (MSMs) for estimating risk differences and relative risks using weighted GLMs: journals.sagepub.com/doi/epu…. #propensityscore #statstwitter
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New open access paper in SMMR comparing predictive mean matching (PMM) with logistic regression for imputing missing binary variables when using multiple imputation: journals.sagepub.com/doi/10.…. PMM had comparable performance, but required less processing time.
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New open access paper comparing target estimands for five sets of propensity score-based weights: ATE weights, ATT weights, overlap weights, matching weights, and entropy weights: onlinelibrary.wiley.com/doi/… #statstwitter
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New paper in Statistics in Medicine: how to impute variables that are used in inclusion/exclusion criteria and that are independent variables in the analysis model of scientific interest: onlinelibrary.wiley.com/doi/… with @DGiardiello_ and Stef van Buuren. #statstwitter
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The iterative bisection procedure: newly-published open access paper describing a useful tool to determine parameter values for Monte Carlo simulations: link.springer.com/epdf/10.11…
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New open access paper with @ESteyerberg, @f2harrell
, @DouglasLeeMD using empirical analyses and simulations to compare machine learning with statistical models for predicting discharge blood pressure in patients hospitalized with AMI or CHF: nature.com/articles/s41598-0…
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New paper on assessing the calibration of competing risk regression models: rdcu.be/cFbpf with @hein_putter , Daniele Giardiello, and David van Klaveren.
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