Testing for linearity

linearitytesting

Threshold autoregression with a near unit root

unit root;autoregressive models

Statistical Models of Treatment Effects in Chronic Hepatitis B and C

This thesis regards treatment effects in patients with chronic hepatitis B and C, and focuses on the tools that are used to analyse these effects. In this introduction the clinical background of hepatitis B and C along with the current treatment options are described. Clinical questions arisen from the effects of treatment are stated and the current state of art of statistical models to study these effects is provided

The grid bootstrap and the autoregressive model

bootstrap;autoregressive models

Factors associated with ethnical disparity in overall survival for patients with hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is an important cause of cancer-related death worldwide. Ethnical disparity in overall survival has been demonstrated for HCC patients in the United States (U.S.). We aimed to evaluate the contributors to this survival disparity. The SEER database was used to identify HCC patients from 2004 to 2012. Kaplan-Meier curves and Cox proportional hazard models were used to evaluate overall survival by ethnicity and the contributors to ethnical survival disparity. A total of 33 062 patients were included: 15 986 Non-Hispanic Whites, 6535 Hispanic Whites, 4842 African Americans, and 5699 Asians. Compared to Non-Hispanic Whites, African Americans had worse survival (HR, 1.18; 95%CI, 1.14-1.23), while Asians had a better survival (HR, 0.85; 95%CI, 0.82-0.89), and Hispanic Whites had a similar survival (HR, 1.01; 95%CI, 0.97-1.05). Multivariate Cox analysis identified that tumor presentation- and treatment-related factors significantly contributed to the ethnical survival disparity. Especially, tumor size was the most important contributor (HR, 1.11; 95%CI, 1.07-1.16). There is no ethnical survival disparity in patients undergoing liver transplantation and sub-analysis of patients within the Milan criteria for liver transplantation demonstrated no significant survival disparity between African Americans and non-Hispanic Whites in transplantation adjustment analysis (HR, 1.23; 95%CI, 1.11-1.35 in non-adjustment analysis to HR, 1.05; 95%CI, 0.95-1.15 after adjustment). Finally, no important contributor to the superior overall survival in Asians was identified. In conclusion, poor tumor presentation at diagnosis, limited benefit from resection and restricted utilization of liver transplantation are important contributors to poorer survival of African Americans with HCC

The effect of a short-wavelength mode on the evolution of a long-wavelength perturbation driven by a strong blast wave

Shock-accelerated material interfaces are potentially unstable to both the Richtmyer–Meshkov and Rayleigh–Taylor (RT) instabilities. Shear that develops along with these instabilities in turn drives the Kelvin–Helmholtz instability. When driven by strong shocks, the evolution and interaction of these instabilities is further complicated by compressibility effects. This paper details a computational study of the formation of jets at strongly driven hydrodynamically unstable interfaces, and the interaction of these jets with one another and with developing spikes and bubbles. This provides a nonlinear spike-spike and spike-bubble interaction mechanism that can have a significant impact on the large-scale characteristics of the mixing layer. These interactions result in sensitivity to the initial perturbation spectrum, including the relative phases of the various modes, that persists long into the nonlinear phase of instability evolution. Implications for instability growth rates, the bubble merger process, and the degree of mix in the layer are described. Results from relevant deceleration RT experiments, performed on OMEGA [J. M. Soures et al., Phys. Plasmas 5, 2108 (1996)], are shown to demonstrate some of these effects.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/70501/2/PHPAEN-11-12-5507-1.pd

Transition to turbulence and effect of initial conditions on three-dimensional compressible mixing in planar blast-wave-driven systems

Perturbations on an interface driven by a strong blast wave grow in time due to a combination of Rayleigh–Taylor, Richtmyer–Meshkov, and decompression effects. In this paper, results from three-dimensional (3D) numerical simulations of such a system under drive conditions to be attainable on the National Ignition Facility [E. M. Campbell, Laser Part. Beams 9, 209 (1991)] are presented. Using the multiphysics, adaptive mesh refinement, higher order Godunov Eulerian hydrocode, Raptor [L. H. Howell and J. A. Greenough, J. Comput. Phys. 184, 53 (2003)], the late nonlinear instability evolution, including transition to turbulence, is considered for various multimode perturbation spectra. The 3D post-transition state differs from the 2D result, but the process of transition proceeds similarly in both 2D and 3D. The turbulent mixing transition results in a reduction in the growth rate of the mixing layer relative to its pretransition value and, in the case of the bubble front, relative to the 2D result. The post-transition spike front velocity is approximately the same in 2D and 3D. Implications for hydrodynamic mixing in core-collapse supernovae are discussed.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87764/2/056317_1.pd

Bias and temperature dependence of the 0.7 conductance anomaly in Quantum Point Contacts

The 0.7 (2e^2/h) conductance anomaly is studied in strongly confined, etched GaAs/GaAlAs quantum point contacts, by measuring the differential conductance as a function of source-drain and gate bias as well as a function of temperature. We investigate in detail how, for a given gate voltage, the differential conductance depends on the finite bias voltage and find a so-called self-gating effect, which we correct for. The 0.7 anomaly at zero bias is found to evolve smoothly into a conductance plateau at 0.85 (2e^2/h) at finite bias. Varying the gate voltage the transition between the 1.0 and the 0.85 (2e^2/h) plateaus occurs for definite bias voltages, which defines a gate voltage dependent energy difference $\Delta$. This energy difference is compared with the activation temperature T_a extracted from the experimentally observed activated behavior of the 0.7 anomaly at low bias. We find \Delta = k_B T_a which lends support to the idea that the conductance anomaly is due to transmission through two conduction channels, of which the one with its subband edge \Delta below the chemical potential becomes thermally depopulated as the temperature is increased.Comment: 9 pages (RevTex) with 9 figures (some in low resolution

Erythrocyte Inosine triphosphatase activity: A potential biomarker for adverse events during combination antiretroviral therapy for HIV

The purine analogues tenofovir and abacavir are precursors of potential substrates for the enzyme Inosine 5’-triphosphate pyrophosphohydrolase (ITPase). Here, we investigated the association of ITPase activity and ITPA genotype with the occurrence of adverse events (AEs) during combination antiretroviral therapy (cART) for human immunodeficiency virus (HIV) infection. In 393 adult HIV-seropositive patients, AEs were defined as events that led to stop of cART regimen. ITPase activity 4 mmol IMP/mmol Hb/hour was considered as normal. ITPA genotype was determined by testing two ITPA polymorphisms: c.94C>A (p. Pro32Thr, rs1127354) and c.124+21A>C (rs7270101). Logistic regression analysis determined odds ratios for developing AEs. In tenofovir-containing regimens decreased ITPase activity was associated with less AEs (p = 0.01) and longer regimen duration (p = 0.001). In contrast, in abacavir-containing regimens decreased ITPase activity was associated with more AEs (crude p = 0.02) and increased switching of medication due to AEs (p = 0.03). ITPA genotype wt/wt was significantly associated with an increase in the occurrence of AEs in tenofovir-containing regimens. Decreased ITPase activity seems to be protective against occurrence of AEs in tenofovir-containing cART, while it is associated with an increase in AEs in abacavir-containing regimens

Prediction of long-term clinical outcome in a diverse chronic hepatitis B population: Role of the PAGE-B score

An abundance of noninvasive scores have been associated with fibrosis and hepatocellular carcinoma (HCC) development. We aimed to compare the prognostic ability of these scores in relation to liver histology in chronic hepatitis B (CHB) patients. Liver biopsies from treatment-naïve CHB patients at one tertiary care centre were scored by a single hepato-pathologist. Laboratory values at liver biopsy were used to calculate the PAGE-B, REACH-B, GAG-HCC, CU-HCC and FIB-4 scores. Any clinical event was defined as HCC development, liver failure, transplantation and mortality. HCC and mortality data were obtained from national database registries. Of 557 patients, 40 developed a clinical event within a median follow-up of 10.1 (IQR 5.7-15.9) years. The PAGE-B score predicted any clinical event (C-statistic.86, 95% CI: 0.80-0.92), HCC development (C-statistic.91) and reduced transplant-free survival (C-statistic.83) with good accuracy, also when stratified by ethnicity, antiviral therapy after biopsy or advanced fibrosis. The C-statistics (95% CI) of the REACH-B, GAG-HCC, CU-HCC and FIB-4 scores for any event were.70 (0.59-0.81),.82 (0.75-0.89),.73 (0.63-0.84) and.79 (0.69-0.89), respectively. The PAGE-B event risk assessment improved modestly when combined with the Ishak fibrosis stage (C-statistic.87, 95% CI: 0.82-0.93). The PAGE-B score showed the best performance in assessing the likelihood of developing a clinical event among a diverse CHB population over 15 years of follow-up. Additional liver histological characteristics did not appear to provide a clinically significant improvement