Results 21 to 30 of about 6,720,136 (196)

Hetrombopag for enhancement of platelet engraftment after allogeneic hematopoietic stem cell transplantation: A single-center experience [PDF]

Therapeutic Advances in Hematology
Background Delayed platelet engraftment is a significant complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT). Objectives This retrospective study evaluates the efficacy and safety of hetrombopag, an oral thrombopoietin ...
Li Wang MD, Ailin Zhao MD, Tian Dong MD, Jinjin Wang MMS, Zhigang Liu MD, Pu Kuang MD, Qiuhui Wu, Jie Ji MD, Ting Niu PhD, MD   +8 more
doaj   +2 more sources

Comparison of competing risks models based on cumulative incidence function in analyzing time to cardiovascular diseases [PDF]

ARYA Atherosclerosis, 2014
BACKGROUND: Competing risks arise when the subject is exposed to more than one cause of failure. Data consists of the time that the subject failed and an indicator of which risk caused the subject to fail.
Minoo Dianatkhah, Mehdi Rahgozar, Mohammad Talaei, Masoud Karimloua, Masoumeh Sadeghi, Shahram Oveisgharan, Nizal Sarrafzadegan   +6 more
doaj   +1 more source

Direct likelihood inference on the cause-specific cumulative incidence function: A flexible parametric regression modelling approach. [PDF]

Stat Med, 2018
Mozumder SI, Rutherford M, Lambert P.
europepmc   +2 more sources

Regression trees and ensembles for cumulative incidence functions [PDF]

The International Journal of Biostatistics, 2022
Abstract The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past two decades. The problems of modeling, estimation and inference have been treated using parametric, nonparametric and semi-parametric methods ...
Cho, Youngjoo, Molinaro, Annette M, Hu, Chen, Strawderman, Robert L   +3 more
openaire   +5 more sources

Competing risks analysis of patients with Brain Stroke: a comparison of two different approaches

Journal of Biostatistics and Epidemiology, 2022
Objectives: Cumulative incidence function (CIF) measures the survival time of a particular hazard in the presence of others, while cause-specific (CS) one ignores the competing risks.
Solmaz Norouzi, Mohammad Asghari Jafarabadi, Seyed Morteza Shamshirgaran, Farshid Farzipoor, Ramazan Fallah   +4 more
doaj   +1 more source

Cancer- and noncancer-specific cumulative incidence of death after exposure to polychlorinated biphenyls and dioxins: A competing risk analysis among Yusho patients

Environment International, 2021
Background: In competing risks settings, the cause-specific cumulative incidence function is of great interest since it quantifies cumulative risk in the presence of other causes.
Daisuke Onozuka, Yuko Nakamura, Gaku Tsuji, Masutaka Furue   +3 more
doaj   +1 more source

A competing risk analysis of colorectal cancer recurrence after curative surgery

BMC Gastroenterology, 2022
Background This study examines the effect of prognostic patient and disease characteristics on colorectal cancer (CRC) recurrence after curative resection. We used competing risk analysis with death as a competing risk. This method provides the clinician
Angela E. Schellenberg, Veronika Moravan, Francis Christian   +2 more
doaj   +1 more source

Parametric regression on cumulative incidence function [PDF]

Biostatistics, 2006
We propose parametric regression analysis of cumulative incidence function with competing risks data. A simple form of Gompertz distribution is used for the improper baseline subdistribution of the event of interest. Maximum likelihood inferences on regression parameters and associated cumulative incidence function are developed for parametric models ...
Jong-Hyeon, Jeong, Jason P, Fine
openaire   +2 more sources

Revisiting the cumulative incidence function with competing risks data

Journal of the Royal Statistical Society Series C: Applied Statistics, 2023
AbstractWe consider estimation of the cumulative incidence function (CIF) in the competing risks Cox model. We study three methods. Methods 1 and 2 are existing methods while method 3 is a newly proposed method. Method 3 is constructed so that the sum of the CIF’s across all event types at the last observed event time is guaranteed, assuming no ties ...
David M Zucker, Malka Gorfine
openaire   +2 more sources

Estimation of Cumulative Incidence Function in the Presence of Middle Censoring Using Improper Gompertz Distribution

Statistica, 2021
In this paper we deal with the modelling of cumulative incidence function using improper Gompertz distribution based on middle censored competing risks survival data. Together with the unknown parameters, cumulative incidence function also estimated.
Habbiburr Rehman, Navin Chandra
doaj   +1 more source