Sequential Randomized Controlled Trials (SRCTs) are rapidly becoming essential tools in the search for optimized treatment regimes in ongoing treatment settings. Analyzing data for multiple time-point treatments with a view toward optimal treatment regimes is of interest in many types of afflictions: HIV infection, Attention Deficit Hyperactivity Disorder in children, leukemia, prostate cancer,...

Background: The electron contamination may reduce or even diminish the skin sparing property of the megavoltage beam. The detailed characteristics of contaminant electrons are presented for different field sizes and cases. Materials and Methods: The Monte Carlo code, MCNPX, has been used to simulate 18 MV photon beam from a Varian Linac-2300 accelerator. All dose measurements were car...

Introduction: Assessment of fetal weight is a vital factor in antenatal care, not only in the management of labor and delivery but also in identifying fetal weight disorders. Objective: This study compares the accuracy of clinical methods and ultrasonography in Estimating Fetal Weight (EFW) with Actual Birth Weight (ABW) in term pregnant women. Materials and Methods: This diagnostic test eval...

Title of dissertation: IMPROVING ANALYTICAL TEMPLATES AND SEARCHING FOR GRAVITATIONAL WAVES FROM COALESCING BLACK HOLE BINARIES Evan Ochsner Doctor of Philosphy, 2010 Dissertation directed by: Professor Alessandra Buonanno Department of Physics The Laser Interferometer Gravitational-wave Observatory (LIGO) and Virgo are taking data at design sensitivity. They will be upgraded to Advanced LIGO a...

In the usual right-censored data situation, let fn, n∈N, denote the convolution of the Kaplan-Meier product limit estimator with the kernels a−1 n K(·/an), where K is a smooth probability density with bounded support and an→0. That is, fn is the usual kernel density estimator based on Kaplan-Meier. Let f̄n denote the convolution of the distribution of the uncensored data, which is assumed to hav...

Author Note: Seunggeun Hyun, Associate Professor of Statistics, has published numerous articles in failure-time data analysis and has become more involved in reliability engineering and risk analysis in recent years. Jimin Lee, Associate Professor of Statistics, has published a significant number of articles in survival analysis and industrial engineering. Robert Yearout, Professor of Industria...

There has been remarkable progress in numerical relativity recently. This has led to the generation of gravitational waveform signals covering what has been traditionally termed the three phases of the coalescence of a compact binary— the inspiral, merger and ringdown. In this paper, we examine the usefulness of inspiral only templates for both detection and parameter estimation of the full coa...

This paper presents estimations of the parameters included in linear exponential distribution, based on grouped and censored data. The methods of maximum likelihood, regression and Bayes are discussed. The maximum likelihood method does not provide closed forms for the estimations, thus numerical procedure is used. The regression estimates of the parameters are used as guess values to get the m...

Higher-order accurate density estimation under random right censorship is achieved using kernel estimators from a family of infinite-order kernels. A compatible bandwidth selection procedure is also proposed that automatically adapts to level of smoothness of the underlying lifetime density. The combination of infinite-order kernels with the new bandwidth selection procedure produces a consider...