Results 21 to 30 of about 808,169 (217)

dynamichazard: Dynamic Hazard Models Using State Space Models

Journal of Statistical Software, 2021
The dynamichazard package implements state space models that can provide a computationally efficient way to model time-varying parameters in survival analysis. I cover the models and some of the estimation methods implemented in dynamichazard, apply them
Benjamin Christoffersen
doaj   +1 more source

A Markov Switching Autoregressive Model with Time-Varying Parameters

Forecasting
This study showcased the Markov switching autoregressive model with time-varying parameters (MSAR-TVP) for modeling nonlinear time series with structural changes. This model enhances the MSAR framework by allowing dynamic parameter adjustments over time.
Syarifah Inayati, Nur Iriawan, Irhamah
doaj   +1 more source

Impacts of vegetation and human activities on temporal variation of the parameters in a monthly water balance model

Shui kexue jinzhan, 2018
The non-stationary nature of watersheds due to changing environments has invalidated the assumption that hydrological model parameters reflecting the physical characteristics of watersheds were time-invariant. To improve the performance of a hydrological
XIONG Lihua, LIU Shuonan, XIONG Bin, XU Wentao   +3 more
doaj   +1 more source

Time Toxicity in Wilms Tumor: Quantifying the Burden of Healthcare Interaction in the First Year After Diagnosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook, Veerain Gupta, Nicholas J. Clark, Vijay Rings, Lauren E. Corona, Douglass B. Clayton, Daniel J. Benedetti   +6 more
wiley   +1 more source

Heterogeneity in the Global Practice of Central Nervous System Staging in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási, Bernadett Borbála Huszti, Gábor Barna, Marko Kavcic, Janez Jazbec, Lennart Lenk, Vera Münch, Sophia Polychronopoulou, Ágnes Márk, Maria Thastrup, Lüder H. Meyer, Kjeld Schmiegelow, Cornelia Eckert, Christina Halsey, Dániel J. Erdélyi   +14 more
wiley   +1 more source

Finite-Time Trajectory Tracking Control for Switched Robots Based on a Time-Varying Sliding Manifold

IEEE Access
This paper investigates the trajectory tracking control problem for robots with time-varying parameters and model switching. A finite-time control scheme based on a time-varying nonsingular terminal sliding manifold is proposed.
Guopei Chen, Ying Yang
doaj   +1 more source

Impact of Fiscal Policy on Consumption and Labor Supply under a Time-Varying Structural VAR Model

Economies, 2019
This paper investigates the impact of fiscal policy on private consumption and labor supply in the UK economy using time-varying parameter vector autoregression (TVP-VAR) with stochastic volatility for the period Q2 1987 to Q2 2017.
Rozina Shaheen
doaj   +1 more source

Effects of the Fluid Replacement Method During Online Hemodiafiltration on the Solute Removal Performance and Biocompatibility Using the Asymmetric Cellulose Triacetate Membrane

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Pre‐dilution online hemodiafiltration (Pre‐HDF) is predominantly used in Japan, whereas post‐dilution online HDF (Post‐HDF) is more common in Europe. An asymmetric cellulose triacetate (ATA) membrane may improve biocompatibility.
Kenji Sakurai, Yoshitaka Kurihara, Fumi Yamauchi, Hiromi Hosoya, Takeshi Saito   +4 more
wiley   +1 more source

A Time-Varying Bayesian Compressed Vector Autoregression for Macroeconomic Forecasting

IEEE Access, 2020
This paper presents macroeconomic forecasting by using a time-varying Bayesian compressed vector autoregression approach. We apply a random compression by using projection matrix to randomly select predictive variables in vector autoregression (VAR), and
Nattapol Aunsri, Paponpat Taveeapiradeecharoen   +1 more
doaj   +1 more source

An investigation of the impact of COVID-19 on health-related cryptocurrencies using time-varying parameters and impulse responses

Healthcare Analytics, 2023
This study examines the impact of COVID-19 on health-related cryptocurrencies. More precisely, we use the variable-Lag time-series (VLT) causality to test whether the pandemic caused the price performance and the volume of transactions of these ...
Theodoros Daglis
doaj   +1 more source