Dylan Spicker
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View article: Optimal dynamic treatment regime estimation in the presence of nonadherence
Optimal dynamic treatment regime estimation in the presence of nonadherence Open
Dynamic treatment regimes (DTRs) are sequences of functions that formalize the process of precision medicine. DTRs take as input patient information and output treatment recommendations. A major focus of the DTR literature has been on the …
View article: Challenges for Predictive Modeling With Neural Network Techniques Using Error‐Prone Dietary Intake Data
Challenges for Predictive Modeling With Neural Network Techniques Using Error‐Prone Dietary Intake Data Open
Dietary intake data are routinely drawn upon to explore diet‐health relationships, and inform clinical practice and public health. However, these data are almost always subject to measurement error, distorting true diet‐health relationship…
View article: Improved subsample-and-aggregate via the private modified winsorized mean
Improved subsample-and-aggregate via the private modified winsorized mean Open
We develop a univariate, differentially private mean estimator, called the private modified winsorized mean, designed to be used as the aggregator in subsample-and-aggregate. We demonstrate, via real data analysis, that common differential…
View article: Differentially private projection-depth-based medians
Differentially private projection-depth-based medians Open
View article: Multidimensional dietary patterns and their joint associations with intersecting sociodemographic characteristics among adults in Canada: a cross-sectional study
Multidimensional dietary patterns and their joint associations with intersecting sociodemographic characteristics among adults in Canada: a cross-sectional study Open
Background: Dietary patterns consist of multiple interrelated components, while individuals have numerous characteristics that may jointly influence dietary patterns. Studies to assess associations between sociodemographic characteristics …
View article: Optimal Dynamic Treatment Regime Estimation in the Presence of Nonadherence
Optimal Dynamic Treatment Regime Estimation in the Presence of Nonadherence Open
Dynamic treatment regimes (DTRs) are sequences of functions that formalize the process of precision medicine. DTRs take as input patient information and output treatment recommendations. A major focus of the DTR literature has been on the …
View article: Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation
Differentially private outcome‐weighted learning for optimal dynamic treatment regime estimation Open
Precision medicine is a framework for developing evidence‐based medical recommendations that seeks to determine the optimal sequence of treatments, tailored to all of the relevant, observable patient‐level characteristics. Because precisio…
View article: Differentially private projection-depth-based medians
Differentially private projection-depth-based medians Open
We develop $(ε,δ)$-differentially private projection-depth-based medians using the propose-test-release (PTR) and exponential mechanisms. Under general conditions on the input parameters and the population measure, (e.g. we do not assume a…
View article: Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data Open
Dietary intake data are routinely drawn upon to explore diet-health relationships. However, these data are often subject to measurement error, distorting the true relationships. Beyond measurement error, there are likely complex synergisti…
View article: Nonparametric simulation extrapolation for measurement‐error models
Nonparametric simulation extrapolation for measurement‐error models Open
The presence of measurement error is a widespread issue, which, when ignored, can render the results of an analysis unreliable. Numerous corrections for the effects of measurement error have been proposed and studied, often under the assum…
View article: Nonparametric Simulation Extrapolation for Measurement Error Models
Nonparametric Simulation Extrapolation for Measurement Error Models Open
The presence of measurement error is a widespread issue which, when ignored, can render the results of an analysis unreliable. Numerous corrections for the effects of measurement error have been proposed and studied, often under the assump…
View article: Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies
Generalizations to Corrections for the Effects of Measurement Error in Approximately Consistent Methodologies Open
Measurement error is a pervasive issue which renders the results of an analysis unreliable. The measurement error literature contains numerous correction techniques, which can be broadly divided into those which aim to produce exactly cons…
View article: Generalizations to Corrections for the Effects of Measurement Error in\n Approximately Consistent Methodologies
Generalizations to Corrections for the Effects of Measurement Error in\n Approximately Consistent Methodologies Open
Measurement error is a pervasive issue which renders the results of an\nanalysis unreliable. The measurement error literature contains numerous\ncorrection techniques, which can be broadly divided into those which aim to\nproduce exactly c…