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Medical Biomathematics and Biometrics Commons™
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Articles 1 - 5 of 5
Full-Text Articles in Medical Biomathematics and Biometrics
Stratified Meta-Analysis To Examine Data Biases In Lung Cancer Studies Of Refinery Workers, Sherman Selix
Stratified Meta-Analysis To Examine Data Biases In Lung Cancer Studies Of Refinery Workers, Sherman Selix
Yale Day of Data
Petroleum refineries employ a variety of workers who historically experienced different potentials for asbestos exposure depending on job tasks. Associations between petroleum refinery work and lung cancer related to occupational asbestos exposure have been quantified among various locations, corporations, and time periods. To combine the data from several individual refinery studies and examine an overall effect, a systematic review and stratified meta-analysis was employed. Using set search terms among four databases, 112 potential publications were identified, of which 29 qualified for meta-analysis. Risk estimates and confidence intervals were extracted from these publications to construct four separate datasets. Inverse variance weighting …
Dose Expansion Cohorts In Phase I Trials, Alexia Iasonos, John O'Quigley
Dose Expansion Cohorts In Phase I Trials, Alexia Iasonos, John O'Quigley
Memorial Sloan-Kettering Cancer Center, Dept. of Epidemiology & Biostatistics Working Paper Series
A rapidly increasing number of Phase I dose-finding studies, and in particular those based on the standard 3+3 design, frequently prolong the study and include dose expansion cohorts (DEC) with the goal to better characterize the toxicity profiles of experimental agents and to study disease specific cohorts. These trials consist of two phases: the usual dose escalation phase that aims to establish the maximum tolerated dose (MTD) and the dose expansion phase that accrues additional patients, often with different eligibility criteria, and where additional information is being collected. Current protocols typically do not specify whether the MTD will be updated …
Dose Expansion Cohorts In Phase I Trials, Alexia Iasonos, John O'Quigley
Dose Expansion Cohorts In Phase I Trials, Alexia Iasonos, John O'Quigley
Alexia Iasonos
A rapidly increasing number of Phase I dose-finding studies, and in particular those based on the standard 3+3 design, frequently prolong the study and include dose expansion cohorts (DEC) with the goal to better characterize the toxicity profiles of experimental agents and to study disease specific cohorts. These trials consist of two phases: the usual dose escalation phase that aims to establish the maximum tolerated dose (MTD) and the dose expansion phase that accrues additional patients, often with different eligibility criteria, and where additional information is being collected. Current protocols typically do not specify whether the MTD will be updated …
Health Care Information Technology: Securing The Electronic Health Record With Biometric Technology, Alyssa Iacona
Health Care Information Technology: Securing The Electronic Health Record With Biometric Technology, Alyssa Iacona
The Review: A Journal of Undergraduate Student Research
The principal focus of this paper is to examine the integration of biometric technology into healthcare’s information technology systems. Biometric technology, a rapidly evolving mechanism, analyzes specific anatomical and physiological features of an individual for identity verification (Perrin, 2002). Moreover, as the federal government has mandated all health records to be electronic in 2014, the implementation of biometrics has become a prevalent means of security. In an effort to adhere to the patient privacy laws authorized by the Health Insurance Portability and Accountability Act (HIPAA), biometric recognition is currently used to restrict access to verified health care providers and detect …
Massively Parallel Nonparametric Regression, With An Application To Developmental Brain Mapping, Philip T. Reiss, Lei Huang, Yin-Hsiu Chen, Lan Huo, Thaddeus Tarpey, Maarten Mennes
Massively Parallel Nonparametric Regression, With An Application To Developmental Brain Mapping, Philip T. Reiss, Lei Huang, Yin-Hsiu Chen, Lan Huo, Thaddeus Tarpey, Maarten Mennes
Lei Huang
We propose a penalized spline approach to performing large numbers of parallel nonparametric analyses of either of two types: restricted likelihood ratio tests of a parametric regression model versus a general smooth alternative, and nonparametric regression. Compared with naively performing each analysis in turn, our techniques reduce computation time dramatically. Viewing the large collection of scatterplot smooths produced by our methods as functional data, we develop a clustering approach to summarize and visualize these results. Our approach is applicable to ultra-high-dimensional data, particularly data acquired by neuroimaging; we illustrate it with an analysis of developmental trajectories of functional connectivity at …