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 …

Machine learning methods to predict amyloid positivity using domain scores from cognitive tests

G Shan, C Bernick, JZK Caldwell, A Ritter - Scientific Reports, 2021 - nature.com
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 …

New confidence intervals for relative risk of two correlated proportions

N DelRocco, Y Wang, D Wu, Y Yang, G Shan - Statistics in biosciences, 2023 - Springer
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 …

Prevalence and Correlates of Depression and Bipolar Disorder Among Patients Maintained on Methadone and Buprenorphine in Ukraine

O Morozova, V Dvoriak, K Dumchev… - International Journal of …, 2024 - Springer
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 …

[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 …

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 …

Partial correlation coefficient for a study with repeated measurements

G Shan, E Bayram, JZK Caldwell, JB Miller… - Statistics in …, 2021 - Taylor & Francis
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 …

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 …

Continuity corrected score confidence interval for the difference in proportions in paired data

P Chang, R Liu, T Hou, X Yan… - Journal of Applied Statistics, 2024 - Taylor & Francis
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 …

Continuity corrected Wilson interval for the difference of two independent proportions

G Shan, XY Lou, SS Wu - Journal of Statistical Theory and Applications, 2023 - Springer
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 …