A5091078192- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Statistical Distribution Estimation and Applications
- Advanced Statistical Process Monitoring
- Advanced Statistical Methods and Models
- Bayesian Methods and Mixture Models
- Optimal Experimental Design Methods
- Statistical Methods and Bayesian Inference
- Automotive and Human Injury Biomechanics
- Financial Risk and Volatility Modeling
- Health Systems, Economic Evaluations, Quality of Life
- Traffic and Road Safety
- Breast Cancer Treatment Studies
- Atomic and Molecular Physics
- Lung Cancer Diagnosis and Treatment
- Cancer Treatment and Pharmacology
- Spatial and Panel Data Analysis
- Advanced Radiotherapy Techniques
- Lung Cancer Treatments and Mutations
- Nuclear physics research studies
- Advanced Breast Cancer Therapies
- Advanced Causal Inference Techniques
- Radiopharmaceutical Chemistry and Applications
- ERP Systems Implementation and Impact
- Fault Detection and Control Systems
University of Windsor
2015-2024
Leapfrog Group
2024
Windsor Dermatology
2024
Windsor Regional Hospital
2022
Windsor University School of Medicine
2022
McMaster University
2022
Jouf University
2019
University of Alberta
2002
Vanderbilt University
1988
University of Pittsburgh
1981-1983
Prostate-specific membrane antigen (PSMA) is overexpressed in most prostate adenocarcinoma (AdPC) cells and acts as a target for molecular imaging. However, some case reports indicate that PSMA-targeted imaging could be ineffectual delineation of neuroendocrine (NE) cancer (NEPC) lesions due to the suppression PSMA gene (FOLH1). These same suggest targeting somatostatin receptor type 2 (SSTR2) an alternative diagnostic NEPC patients. This study evaluates correlation between expression FOLH1,...
This pilot study compared a novel electronic Montreal Cognitive Assessment (eMoCA) tool to the original paper-based MoCA. Potential participants were approached at primary care practices, geriatric day hospital, and university campus. Each of 401 randomly assigned either eMoCA (N=182) or MoCA (N=219). Scores adjusted by self-reported demographic health information using regression analysis. The difference in average scores (26.21±3.11 for group 24.84±4.21 group) was found be statistically...
The problem of robust estimation a (linear) regression parameter (vector), in the presence nuisance scale parameter, is considered when it priori suspected that could be restricted to linear subspace. Asymptotic properties variants Stein-rule M-estimators (including positive-rule shrinkage M-estimators) are studied. Under an asymptotic distributional quadratic risk criterion, their relative dominance picture explored, analytically as well by simulation. An extensive sampling experiment used...
Monitoring binary outcomes when evaluating health care performance has recently become common. Classical statistical methodologies such as cumulative sum (CUSUM) charts have been refined and used for this purpose. For instance, the risk‐adjusted CUSUM chart (RA‐CUSUM) monitoring was proposed 30‐day mortality following cardiac surgery. The RA‐CUSUM inherits optimality properties of original in sense signaling early there is change. However, although a powerful tool, it will always eventually...
Abstract Background Non‐small cell lung cancer (NSCLC) is often diagnosed at an advanced stage. Clinical trials have demonstrated that first‐line immunotherapy alone or in combination with chemotherapy improves overall survival. However, reports of survival outcomes real‐world settings are limited. We assessed NSCLC patients treated first‐ second‐line the Windsor Regional Cancer Program (WRCP) and compared it to existing literature. Methods included stage IV from January 2015 December 2020...
Patient experience is globally recognized as an important indicator of health system performance, linked to quality and improving patient outcomes. Post COVID-19, systems have embraced digital advanced transformation efforts; however, the relationship between outcomes not well-documented. Using HCAHPS hospital survey data measure experience, HIMSS EMRAM Maturity Model maturity, a cross-sectional design using multivariate analyses examined impact maturity on in US hospitals. Our analysis...
This study demonstrates that digital maturity contributes to strengthened quality and safety performance outcomes in US hospitals. Advanced is associated with more digitally enabled work environments automated flow of data across information systems enable clinicians leaders track outcomes. research illustrates an advanced workforce strong leadership culture better patient health
The problem of estimating the parameter an exponential distribution when a proportion observations are outliers is quite important to reliability applications. method weighted likelihood applied this problem, and robust estimator proposed. Interestingly, proposed /spl alpha/-trimmed mean type estimator. large-sample robustness properties new examined. Further, Monte Carlo simulation study conducted showing that is, under wide range contaminated models, more efficient than usual maximum in...
Objectives: When used correctly, child safety seats reduce the risk of injury to a passenger compared seat belts. The objectives this study are (1) describe restraint use among Canadian children ages 4–8 years in 2010; (2) compare between provinces with new legislation (post-2006), old (pre-2006), and without legislation; (3) rates from 2006 2010.Methods: Roadside observational surveys were performed 2010 using nationally representative stratified sample. Proportions use, correct (i.e.,...
Background: The use of booster seats continues to be low, despite their effectiveness in reducing injury motor vehicle collisions. Many jurisdictions have introduced legislation requiring the seats. To date, there been no Canadian studies evaluating on seat use. Objectives: describe restraint among children aged 4–8 years, and compare between provinces/territories with without legislation. Methods: data were obtained from a National Survey Child Restraint Use/Misuse conducted June August...
Spatial autoregressive models are powerful tools in the analysis of data sets from diverse scientific areas research such as econometrics, plant species richness, cancer mortality rates, image processing, functional Magnetic Resonance Imaging (fMRI) data, and many more. An important class host spatial is error which spatially lagged terms assumed. In this paper, we propose efficient shrinkage penalty estimators for regression coefficients model. We carry out asymptotic well simulation...
Estimation of reliability and stress–strength parameters is important in the manufacturing industry. In this paper, we develop shrinkage-type estimators for based on progressively censored data from a rich class distributions. These new improve performance commonly used Maximum Likelihood Estimators (MLEs) by reducing their mean squared errors. We provide analytical asymptotic bootstrap confidence intervals targeted parameters. Through detailed simulation study, demonstrate that have better...
The reorientation effect in Coulomb excitation has been used to measure $^{162,164,166,168,170}\mathrm{Er}$ the static quadrupole moments ${Q}_{{{2}^{+}}^{\ensuremath{'}}}$ of ${2}^{+}$\ensuremath{'} $\ensuremath{\gamma}$-vibrational states; and branching ratio ${B}_{\ensuremath{\gamma}}$ for decay state ${0}^{+}$ ground first ${2}^{+}$ state. Both particle-$\ensuremath{\gamma}$ coincidence particle spectroscopy experiments were carried out extract these quantities, using 12.5 MeV...
There are no gold standard methods that perform well in every situation when it comes to the analysis of multiple time series counts. In this paper, we consider a positively correlated bivariate counts and propose parameter‐driven Poisson regression model for its analysis. our proposed model, employ latent autoregressive process, AR ( p ) accommodate temporal correlations two series. We compute familiar maximum likelihood estimators parameters their errors via Bayesian data cloning approach....
Recently, spatial regression models have been attracting a great deal of attention in areas ranging from effect traffic congestion on accident rates to the analysis trends gastric cancer mortality. In this paper, we propose efficient estimators for coefficients conditional autoregressive model, when uncertain auxiliary information is available about these coefficients. We provide efficiency comparisons proposed based asymptotic risk and Monte Carlo simulations. apply methods real data Boston...
Monitoring health care performance outcomes such as post-operative mortality rates has recently become more common, spurring new statistical methodologies designed for this purpose. One methodology is the Risk-adjusted Cumulative Sum chart (RA-CUSUM) monitoring binary after cardiac surgery. When building RA-CUSUMs, independence and model correctness are assumed. We carry out a simulation study to examine effect of violating these two assumptions on chart's performance.
Abstract The authors propose a class of statistics based on Rao's score for the sequential testing composite hypotheses comparing two treatments (populations). Asymptotic approximations lead them to tests and derive their monitoring boundaries. As special cases, they construct versions two‐sample t‐test normal populations z‐score binomial populations. proposed algorithms are simple easy compute, as no numerical integration is required. Furthermore, user can analyze data at any time...
In this paper, we consider group sequential procedures for clinical trials under variance heterogeneity. Group typically involve small samples at each interim analysis. We advocate Welch’s correction heterogeneity, and present a natural application of the significance level method such situations. Currently available are based on large sample method, with no allowance corrections Unless size is large, results not valid. On basis simulation studies, comparing their abilities to control Type I...
Abstract In this paper, we consider a mixture of two uniform distributions and derive L-moment estimators its parameters. Three possible ways mixing uniforms, namely with neither overlap nor gap, overlap, are studied. The performance these in terms bias efficiency is compared to that obtained by means the conventional method moments (MM), modified maximum likelihood (MML) usual (ML) method. These intensive simulations reveal MML best most cases, less subject estimation for some mixtures more...