A5009367264- Statistical Methods in Clinical Trials
- Advanced Statistical Process Monitoring
- Optimal Experimental Design Methods
- Parathyroid Disorders and Treatments
- Statistical Distribution Estimation and Applications
- Bone health and osteoporosis research
- Bone health and treatments
- Osteoarthritis Treatment and Mechanisms
- Monoclonal and Polyclonal Antibodies Research
- Statistical Methods and Bayesian Inference
- Brucella: diagnosis, epidemiology, treatment
- Statistical Methods and Inference
- Artificial Intelligence in Games
- Pelvic floor disorders treatments
- Gene expression and cancer classification
- Drug-Induced Hepatotoxicity and Protection
- Multimodal Machine Learning Applications
- Gastrointestinal motility and disorders
- Adrenal Hormones and Disorders
- Salivary Gland Disorders and Functions
- Medical and Biological Sciences
- Liver Disease Diagnosis and Treatment
- Advanced Statistical Methods and Models
- Blood Coagulation and Thrombosis Mechanisms
- Acute Myocardial Infarction Research
AbbVie (United States)
2019-2022
GlaxoSmithKline (United States)
2006-2015
GlaxoSmithKline (United Kingdom)
2011
Muhlenberg College
2003-2007
Research Triangle Park Foundation
2007
University of Connecticut
2002
Ronacaleret, a calcium-sensing receptor antagonist that stimulates PTH release from the parathyroid glands, was evaluated as an oral osteoanabolic agent for treatment of osteoporosis.Our objective to compare effects ronacaleret, teriparatide, and alendronate on bone mineral density (BMD) markers turnover.In this randomized, placebo-controlled, dose-ranging trial, spine hip BMD were assessed by dual-energy x-ray absorptiometry turnover measured.Patients included 569 postmenopausal women with...
Abstract Intermittent injections of parathyroid hormone have osteoanabolic effects that increase bone mineral density (BMD). Ronacaleret is an orally administered calcium-sensing receptor antagonist stimulates endogenous release from the glands. Our objective was to compare ronacaleret and teriparatide on volumetric BMD (vBMD) measured by quantitative computed tomography (QCT). We conducted a randomized, placebo-controlled, dose-ranging trial at 45 academic centers with 31 sites...
Adaptive clinical trials are the cornerstone of modern drug and device development. The most recent US legislation calls for higher efficiency in designing with emphasis on expanding utilization complex innovative designs that cannot be developed without simulations. It is well recognized trial simulation a fundamental tool to explore, compare, understand operating characteristics, statistical properties, adaptive decisions embedded different answer given research questions. This article...
Abstract We suppose that we have at our disposal a sequence of independent observations from N(θ, θ) distribution where θ(>0) is an unknown parameter. Such model will make good sense to approximate Poisson(θ) distribution, especially when moderately large. The Fisher-information contained in the sample mean, variance, and MLE are included (Appendix A). derivation UMVUE θ some remarks regarding computational complexities numerically evaluating its expression, even for small fixed-sample-size...
Designing Phase I clinical trials is challenging when accrual slow or sample size limited. The corresponding key question is: how to efficiently and reliably identify the maximum tolerated dose (MTD) using a as small possible? We propose model-assisted model-based designs with adaptive intrapatient escalation (AIDE) address this challenge. AIDE in that decision of conducting depends on both patient's individual safety data, well other enrolled data. When data indicate reasonable safety,...
In this article, a new two-stage sampling methodology is explored for the minimum risk point estimation of range θ in power family distribution. This modification Mukhopadhyay et al.'s (1983) twostage technique proposed along lines and Duggan (1997, 1999) by assuming prior knowledge positive lower bound L otherwise unknown parameter θ. Expressions average sample size associated with conventional maximum order statistic are investigated. A estimator 8 based only on stopping variable also...
Abstract We consider a sequence of observable p-dimensional independent and identically distributed N p (A θ, Σ) observations X l, 2, … where A × q is known matrix with rank q(1<q<p), θ 1 consists unknown regression parameters, Σ an positive definite matrix. Chatterjee (Chatterjee, S.K. Multi-step sequential procedures for replicable linear model correlated variables. In Probability Statistics Design Experiments (Proceedings the R. C. Bose Symposium 1988); Bahadur R.R., Ed.; Wiley Eastern:...