Results 151 to 160 of about 30,783 (304)

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre   +5 more
wiley   +1 more source

A Stochastic Frontier Model for Discrete Ordinal Outcomes: A Health Production Function [PDF]

open access: yes
The stochastic frontier model used for continuous dependent variables is extended to accommodate output measured as a discrete ordinal outcome variable.
Xiaohui Zhang   +2 more
core  

Modeling of Disease Progression of Type 2 Diabetes Using Real‐World Data: Quantifying Competing Risks of Morbidity and Mortality

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 606-615, March 2025.
ABSTRACT Type 2 diabetes (T2D) is a progressive metabolic disorder that could be an underlying cause of long‐term complications that increase mortality. The assessment of the probability of such events could be essential for mortality risk management. This work aimed to establish a framework for risk predictions of macrovascular complications (MVC) and
Hanna Kunina   +2 more
wiley   +1 more source

Tempo effects in mortality [PDF]

open access: yes
This study examines the existence of tempo effects in mortality and evaluates the procedure developed by Bongaarts and Feeney for calculating a tempo-adjusted life expectancy.
Michel Guillot
core  

Retrospective image analysis for long‐term demography using Google Earth imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa   +2 more
wiley   +1 more source

Calibrating affine stochastic mortality models using term assurance premiums

open access: yes
In this paper, we focus on the calibration of affine stochastic mortality models using term assurance premiums. We view term assurance contracts as a "swap" in which policyholders exchange cash flows (premiums vs. benefits) with an insurer analogous to a
Fabozzi, Frank J.   +4 more
core  

A comparison of ten principal component methods for forecasting mortality rates [PDF]

open access: yes
Using the age- and sex-specific data of 14 developed countries, we compare the short- to medium-term accuracy of ten principal component methods for forecasting mortality rates and life expectancy. These ten methods include the Lee-Carter method and many
Heather Booth   +2 more
core  

Sustainable Development Solutions Network (SDSN) Reports Between 2018 and 2023: Malmquist Index Analysis for the Performance of OECD Countries

open access: yesSustainable Development, EarlyView.
ABSTRACT In 2015, the United Nations (UN) adopted the 17 Sustainable Development Goals (SDGs), calling for urgent action to end poverty, reduce inequality, and secure a sustainable future. Within this global agenda, the commitment of the Organization for Economic Co‐operation and Development (OECD) is particularly significant given its institutional ...
Mehmet Güray Ünsal   +4 more
wiley   +1 more source

Using dynamic stochastic simulation to determine asset allocation of sustainable retirement portfelio for a stochastic lifetime

open access: yesBusiness: Theory and Practice, 2010
The article examines the problem of determining asset allocation of sustainable retirement portfolio. Former researches used to analyse the fixed retirement planning horizon.
Aušra Klimavičienė
doaj  

Discrete-Time Stochastic Volatility Models and MCMC-Based Statistical Inference [PDF]

open access: yes
In this paper, we review the most common specifications of discrete-time stochas- tic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference.
Yangguoyi Ou, Nikolaus Hautsch
core  

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