Kenneth C. Chu
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View article: Introduction of a Method to Choose the Number of Clusters of a Mixed Dataset under Kproto
Introduction of a Method to Choose the Number of Clusters of a Mixed Dataset under Kproto Open
Identifying homogenous subgroups within a dataset, particularly without prior knowledge of the number of such subgroups is of great interest to clinicians or policy makers as this knowledge aids them to tailor strategies to introduce inter…
View article: Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends
Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends Open
Wetlands are important but vulnerable ecosystems that must be accurately mapped and monitored to effectively guide restoration and conservation planning. In this study, we used functional principal component analysis (FPCA) to leverage syn…
View article: Predicting Progression in Adolescent Idiopathic Scoliosis at the First Visit by Integrating 2D Imaging and 1D Clinical Information
Predicting Progression in Adolescent Idiopathic Scoliosis at the First Visit by Integrating 2D Imaging and 1D Clinical Information Open
Study Design Retrospective observational study. Objectives The prediction of curve progression in patients with adolescent idiopathic scoliosis (AIS) remains an unresolved area in orthopedic surgery. To make a rapid meaningful prediction, …
View article: Exploring the intersectionality of characteristics among those who experienced opioid overdoses: A cluster analysis
Exploring the intersectionality of characteristics among those who experienced opioid overdoses: A cluster analysis Open
As Canada continues to experience an opioid crisis, it is important to understand the intersection between the demographic, socioeconomic and service use characteristics of those experiencing opioid overdoses to better inform prevention an…
View article: Weight smoothing for nonprobability surveys
Weight smoothing for nonprobability surveys Open
Adjustment techniques to mitigate selection bias in nonprobability samples often involve modelling the propensity to participate in the nonprobability sample along with inverse propensity weighting. It is well known that procedures for est…
View article: BPG: Seamless, automated and interactive visualization of scientific data
BPG: Seamless, automated and interactive visualization of scientific data Open
View article: Additional file 3: of BPG: Seamless, automated and interactive visualization of scientific data
Additional file 3: of BPG: Seamless, automated and interactive visualization of scientific data Open
Code to generate Additional file 2: Figure S1. (TXT 6 kb)
View article: Additional file 1: of BPG: Seamless, automated and interactive visualization of scientific data
Additional file 1: of BPG: Seamless, automated and interactive visualization of scientific data Open
Code to generate Fig. 1. (TXT 14 kb)
View article: Additional file 4: of BPG: Seamless, automated and interactive visualization of scientific data
Additional file 4: of BPG: Seamless, automated and interactive visualization of scientific data Open
Code to generate Fig. 2. (TXT 11 kb)
View article: Optimal Estimating Equation for Logistic Regression with Linked Data
Optimal Estimating Equation for Logistic Regression with Linked Data Open
We propose an optimal estimating equation for logistic regression with linked data while accounting for false positives. It builds on a previous solution but estimates the regression coefficients with a smaller variance, in large samples.
View article: BPG: Seamless, Automated and Interactive Visualization of Scientific Data
BPG: Seamless, Automated and Interactive Visualization of Scientific Data Open
We introduce BPG, an easy-to-use framework for generating publication-quality, highly-customizable plots in the R statistical environment. This open-source package includes novel methods of displaying high-dimensional datasets and facilita…
View article: Working to Eliminate Cancer Health Disparities from Tobacco: A Review of the National Cancer Institute’s Community Networks Program
Working to Eliminate Cancer Health Disparities from Tobacco: A Review of the National Cancer Institute’s Community Networks Program Open
The CNP is a promising academic-community model for working to eliminate tobacco-related health disparities. Future efforts may address scientific gaps, consider collaboration across groups, assess the extent of operationalizing community-…
View article: Spatial genomic heterogeneity within localized, multifocal prostate cancer
Spatial genomic heterogeneity within localized, multifocal prostate cancer Open