Dan Jackson
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View article: Incorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data
Incorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data Open
We conducted a pilot study to explore methods of incorporating qualitative community knowledge into quantitative assessment of temporal and spatial air quality patterns in a neighborhood in Vancouver, British Columbia. We deployed a low‐co…
View article: Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY
Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY Open
Including additional covariates and SGRQ domains resulted in similar model performance to Starkie et al, suggesting their covariates are adequate for mapping in asthma and/or COPD. NOVELTY coefficients broaden the population with chronic a…
View article: A New Frequentist Implementation of the Daniels and Hughes Bivariate Meta‐Analysis Model for Surrogate Endpoint Evaluation
A New Frequentist Implementation of the Daniels and Hughes Bivariate Meta‐Analysis Model for Surrogate Endpoint Evaluation Open
Surrogate endpoints are used when the primary outcome is difficult to measure accurately. Determining if a measure is suitable to use as a surrogate endpoint is a challenging task and a variety of meta‐analysis models have been proposed fo…
View article: Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs Open
Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge of operating characteristics of competing met…
View article: New Methods for Two‐Stage Treatment Switching Estimation
New Methods for Two‐Stage Treatment Switching Estimation Open
Treatment switching is common in randomized trials of oncology treatments. For example, control group patients may receive the experimental treatment as a subsequent therapy. One possible estimand is the effect of trial treatment if this t…
View article: Bayesian Solutions for Assessing Differential Effects in Biomarker Positive and Negative Subgroups
Bayesian Solutions for Assessing Differential Effects in Biomarker Positive and Negative Subgroups Open
The number of clinical trials that include a binary biomarker in design and analysis has risen due to the advent of personalised medicine. This presents challenges for medical decision makers because a drug may confer a stronger effect in …
View article: Treatment Effect Measures Under Nonproportional Hazards
Treatment Effect Measures Under Nonproportional Hazards Open
‘Treatment effect measures under nonproportional hazards’ by Snapinn et al. ( Pharmaceutical Statistics , 22, 181–193) recently proposed some novel estimates of treatment effect for time‐to‐event endpoints. In this note, we clarify three p…
View article: Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs
Potential outcome simulation for efficient head-to-head comparison of adaptive dose-finding designs Open
Dose-finding trials are a key component of the drug development process and rely on a statistical design to help inform dosing decisions. Triallists wishing to choose a design require knowledge of operating characteristics of competing met…
View article: Bayesian meta‐analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations
Bayesian meta‐analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations Open
During drug development, evidence can emerge to suggest a treatment is more effective in a specific patient subgroup. Whilst early trials may be conducted in biomarker‐mixed populations, later trials are more likely to enroll biomarker‐pos…
View article: Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results From a Community‐Partnered Low‐Cost Sensor Deployment
Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results From a Community‐Partnered Low‐Cost Sensor Deployment Open
The Strathcona neighborhood in Vancouver is particularly vulnerable to environmental injustice due to its close proximity to the Port of Vancouver, and a high proportion of Indigenous and low‐income households. Furthermore, local sources o…
View article: Associations between the EQ-5D-5L and exacerbations of chronic obstructive pulmonary disease in the ETHOS trial
Associations between the EQ-5D-5L and exacerbations of chronic obstructive pulmonary disease in the ETHOS trial Open
Purpose Exacerbations of chronic obstructive pulmonary disease (COPD) are associated with deteriorating health and health-related quality of life (HRQoL) among people with COPD during and after events. HRQoL data are key to evaluating trea…
View article: Multistep estimators of the between‐study covariance matrix under the multivariate random‐effects model for meta‐analysis
Multistep estimators of the between‐study covariance matrix under the multivariate random‐effects model for meta‐analysis Open
A wide variety of methods are available to estimate the between‐study variance under the univariate random‐effects model for meta‐analysis. Some, but not all, of these estimators have been extended so that they can be used in the multivari…
View article: Supplementary Data for "Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results from a Community-Partnered Low-cost Sensor Deployment"
Supplementary Data for "Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results from a Community-Partnered Low-cost Sensor Deployment" Open
These are the underlying data sets needed to build the kriging maps and calculate dissemination block cumulative hazard indices described in the paper. There are three data sets: "Sampling location names and coordinates.csv": locations and…
View article: Supplementary Data for "Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results from a Community-Partnered Low-cost Sensor Deployment"
Supplementary Data for "Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results from a Community-Partnered Low-cost Sensor Deployment" Open
These are the underlying data sets needed to build the kriging maps and calculate dissemination block cumulative hazard indices described in the paper. There are three data sets: "Sampling location names and coordinates.csv": locations and…
View article: Mortality risk reduction with budesonide/glycopyrrolate/formoterol fumarate versus fluticasone furoate/umeclidinium/vilanterol in COPD: a matching-adjusted indirect comparison based on ETHOS and IMPACT
Mortality risk reduction with budesonide/glycopyrrolate/formoterol fumarate versus fluticasone furoate/umeclidinium/vilanterol in COPD: a matching-adjusted indirect comparison based on ETHOS and IMPACT Open
In this MAIC, which adjusted for population heterogeneity between ETHOS and IMPACT, ACM was significantly reduced with BGF versus FF/UMEC/VI in patients with moderate-to-very severe COPD.
View article: Survival Extrapolation Incorporating General Population Mortality Using Excess Hazard and Cure Models: A Tutorial
Survival Extrapolation Incorporating General Population Mortality Using Excess Hazard and Cure Models: A Tutorial Open
Background Different parametric survival models can lead to widely discordant extrapolations and decision uncertainty in cost-effectiveness analyses. The use of excess hazard (EH) methods, which incorporate general population mortality dat…
View article: Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations
Bayesian meta-analysis for evaluating treatment effectiveness in biomarker subgroups using trials of mixed patient populations Open
During drug development, evidence can emerge to suggest a treatment is more effective in a specific patient subgroup. Whilst early trials may be conducted in biomarker-mixed populations, later trials are more likely to enrol biomarker-posi…
View article: POPULISM IN CONTEXT. A CROSS-COUNTRY INVESTIGATION OF THE FACEBOOK USAGE OF POPULIST APPEALS DURING THE 2019 EUROPEAN PARLIAMENT ELECTIONS
POPULISM IN CONTEXT. A CROSS-COUNTRY INVESTIGATION OF THE FACEBOOK USAGE OF POPULIST APPEALS DURING THE 2019 EUROPEAN PARLIAMENT ELECTIONS Open
Recent scholarship demonstrated that Facebook is a convenient space for populist political communication as its unmediated and viral nature make populist appeals highly efficient in voters’ mobilization (Engesser et al., 2017). However, le…
View article: Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews
Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews Open
Objectives Multivariate meta-analysis allows the joint synthesis of multiple outcomes accounting for their correlation. This enables borrowing of strength ( BoS ) across outcomes, which may lead to greater efficiency and even different con…
View article: What legal design could be: Towards an expanded practice of inquiry, critique, and action
What legal design could be: Towards an expanded practice of inquiry, critique, and action Open
Our theme track call for papers invited contributions that explore the role of designers in advancing legal design as an expanded practice of inquiry, critique, and action. Our core motivation for this theme track is our vision for a basel…
View article: Incorporating dose effects in network meta-analysis
Incorporating dose effects in network meta-analysis Open
Systematic reviews with network meta-analysis that ignore potential dose effects could limit the applicability and validity of review findings. This article aims to help content experts (eg, clinicians), methodologists, and statisticians b…
View article: Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews
Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews Open
Objectives Multivariate meta-analysis allows the joint synthesis of multiple outcomes accounting for their correlation. This enables borrowing of strength (BoS) across outcomes, which may lead to greater efficiency and even different concl…
View article: Correlation Between Early Endpoints and Overall Survival in Non-Small-Cell Lung Cancer: A Trial-Level Meta-Analysis
Correlation Between Early Endpoints and Overall Survival in Non-Small-Cell Lung Cancer: A Trial-Level Meta-Analysis Open
Early endpoints, such as progression-free survival (PFS), are increasingly used as surrogates for overall survival (OS) to accelerate approval of novel oncology agents. Compiling trial-level data from randomized controlled trials (RCTs) co…
View article: Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem
Frequentist rules for regulatory approval of subgroups in phase III trials: A fresh look at an old problem Open
Background The number of Phase III trials that include a biomarker in design and analysis has increased due to interest in personalised medicine. For genetic mutations and other predictive biomarkers, the trial sample comprises two subgrou…
View article: Study specific prediction intervals for random‐effects meta‐analysis: A tutorial
Study specific prediction intervals for random‐effects meta‐analysis: A tutorial Open
The pooled estimate of the average effect is of primary interest when fitting the random‐effects model for meta‐analysis. However estimates of study specific effects, for example those displayed on forest plots, are also often of interest.…
View article: Study specific prediction intervals for random-effects meta-analysis
Study specific prediction intervals for random-effects meta-analysis Open
The pooled estimate of the average effect is of primary interest when fit-\nting the random-effects model for meta-analysis. However estimates of study\nspecific effects, for example those displayed on forest plots, are also often of\ninte…
View article: One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods
One‐stage individual participant data meta‐analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods Open
A one‐stage individual participant data (IPD) meta‐analysis synthesizes IPD from multiple studies using a general or generalized linear mixed model. This produces summary results (eg, about treatment effect) in a single step, whilst accoun…
View article: Bivariate network meta‐analysis for surrogate endpoint evaluation
Bivariate network meta‐analysis for surrogate endpoint evaluation Open
Surrogate endpoints are very important in regulatory decision making in healthcare, in particular if they can be measured early compared to the long‐term final clinical outcome and act as good predictors of clinical benefit. Bivariate meta…