Karen J. Chandross
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View article: Disease progression strikingly differs in research and real-world Parkinson’s populations
Disease progression strikingly differs in research and real-world Parkinson’s populations Open
Characterization of Parkinson’s disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. Efforts to curate research populations, the increasing availability of real-world data, and a…
View article: Disease progression strikingly differs in research and real-world Parkinson's populations
Disease progression strikingly differs in research and real-world Parkinson's populations Open
Characterization of Parkinson's disease (PD) progression using real-world evidence could guide clinical trial design and identify subpopulations. Efforts to curate research populations, the increasing availability of real-world data and re…
View article: An Overview of Current Methods for Real-world Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest
An Overview of Current Methods for Real-world Applications to Generalize or Transport Clinical Trial Findings to Target Populations of Interest Open
It has been well established that randomized clinical trials have poor external validity, resulting in findings that may not apply to relevant—or target—populations. When the trial is sampled from the target population, generalizability me…
View article: Transporting observational study results to a target population of interest using inverse odds of participation weighting
Transporting observational study results to a target population of interest using inverse odds of participation weighting Open
Inverse odds of participation weighting (IOPW) has been proposed to transport clinical trial findings to target populations of interest when the distribution of treatment effect modifiers differs between trial and target populations. We se…
View article: Accelerating diagnosis of Parkinson’s disease through risk prediction
Accelerating diagnosis of Parkinson’s disease through risk prediction Open
Background Characterization of prediagnostic Parkinson’s Disease (PD) and early prediction of subsequent development are critical for preventive interventions, risk stratification and understanding of disease pathology. This study aims to …
View article: Calibration and Uncertainty in Neural Time-to-Event Modeling
Calibration and Uncertainty in Neural Time-to-Event Modeling Open
Models for predicting the time of a future event are crucial for risk assessment, across a diverse range of applications. Existing time-to-event (survival) models have focused primarily on preserving pairwise ordering of estimated event ti…
View article: Technology-Enabled Clinical Trials
Technology-Enabled Clinical Trials Open
The complexity and costs associated with traditional randomized, controlled trials have increased exponentially over time, and now threaten to stifle the development of new drugs and devices. Nevertheless, the growing use of electronic hea…
View article: In Vivo Optical Imaging of Myelination Events in a Myelin Basic Protein Promoter-Driven Luciferase Transgenic Mouse Model
In Vivo Optical Imaging of Myelination Events in a Myelin Basic Protein Promoter-Driven Luciferase Transgenic Mouse Model Open
The compact myelin sheath is important for axonal function, and its loss can lead to neuronal cell death and irreversible functional deficits. Myelin is vulnerable to a variety of metabolic, toxic, and autoimmune insults. In diseases like …
View article: <i>In vitro</i> myelin formation using embryonic stem cells
<i>In vitro</i> myelin formation using embryonic stem cells Open
Myelination in the central nervous system is the process by which oligodendrocytes form myelin sheaths around the axons of neurons. Myelination enables neurons to transmit information more quickly and more efficiently and allows for more c…