Monte Carlo cross-validation for a study with binary outcome and limited sample size
G Shan - BMC Medical Informatics and Decision Making, 2022 - Springer
Cross-validation (CV) is a resampling approach to evaluate machine learning models when
sample size is limited. The number of all possible combinations of folds for the training data …
sample size is limited. The number of all possible combinations of folds for the training data …
Machine learning methods to predict amyloid positivity using domain scores from cognitive tests
Amyloid-β (A β) is the target in many clinical trials for Alzheimer's disease (AD). Preclinical
AD patients are heterogeneous with regards to different backgrounds and diagnosis …
AD patients are heterogeneous with regards to different backgrounds and diagnosis …
New confidence intervals for relative risk of two correlated proportions
Biomedical studies, such as clinical trials, often require the comparison of measurements
from two correlated tests in which each unit of observation is associated with a binary …
from two correlated tests in which each unit of observation is associated with a binary …
Prevalence and Correlates of Depression and Bipolar Disorder Among Patients Maintained on Methadone and Buprenorphine in Ukraine
Psychiatric and substance use disorders frequently coexist and require co-management, yet
little is known about the prevalence of psychiatric disorders among patients maintained on …
little is known about the prevalence of psychiatric disorders among patients maintained on …
[HTML][HTML] Optimal two-stage designs based on restricted mean survival time for a single-arm study
G Shan - Contemporary Clinical Trials Communications, 2021 - Elsevier
Restricted mean survival time is an alternative measure of treatment effect to hazard ratio in
clinical trials with time-to-event outcome. The current methods have been focused on one …
clinical trials with time-to-event outcome. The current methods have been focused on one …
Point-of-care haemoglobin accuracy and transfusion outcomes in non-cardiac surgery at a Canadian tertiary academic hospital: protocol for the PREMISE …
K Brousseau, L Monette, DI McIsaac, A Workneh… - BMJ open, 2023 - bmjopen.bmj.com
Introduction Transfusions in surgery can be life-saving interventions, but inappropriate
transfusions may lack clinical benefit and cause harm. Transfusion decision-making in …
transfusions may lack clinical benefit and cause harm. Transfusion decision-making in …
Partial correlation coefficient for a study with repeated measurements
Repeated data are increasingly collected in studies to investigate the trajectory of change in
measurements over time. Determining a link between one repeated measurement with …
measurements over time. Determining a link between one repeated measurement with …
Randomized two-stage optimal design for interval-censored data
G Shan - Journal of biopharmaceutical statistics, 2022 - Taylor & Francis
Interval-censored data occur in a study where the exact event time of each participant is not
observed but it is known to be within a certain time interval. Multiple tests were proposed for …
observed but it is known to be within a certain time interval. Multiple tests were proposed for …
Continuity corrected score confidence interval for the difference in proportions in paired data
For paired binary data, the hybrid method and the score method are often recommended for
use to calculate the confidence interval for risk difference. These asymptotic intervals do not …
use to calculate the confidence interval for risk difference. These asymptotic intervals do not …
Continuity corrected Wilson interval for the difference of two independent proportions
Confidence interval for the difference of two proportions has been studied for decades. Many
methods were developed to improve the approximation of the limiting distribution of test …
methods were developed to improve the approximation of the limiting distribution of test …