Results 71 to 80 of about 845,967 (301)

Bayesian Analysis of Hazard Regression Models under Order Restrictions on Covariate Effects and Ageing [PDF]

open access: yes, 2007
We propose Bayesian inference in hazard regression models where the baseline hazard is unknown, covariate effects are possibly age-varying (non-proportional), and there is multiplicative frailty with arbitrary distribution.
Bhattacharjee, Arnab   +1 more
core   +4 more sources

Pathogenic Germline PALB2 and RAD50 Variants in Patients With Relapsed Ewing Sarcoma

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Approximately 10% of patients with Ewing sarcoma (EwS) have pathogenic germline variants. Here, we report two cases: first, a novel germline pathogenic variant in partner and localizer of BRCA2 (PALB2) in a patient with a late EwS relapse. Its impact on homologous recombination is demonstrated, and breast cancer risk is discussed.
Molly Mack   +12 more
wiley   +1 more source

Semiparametric Relative-risk Regression for Infectious Disease Data

open access: yes, 2012
This paper introduces semiparametric relative-risk regression models for infectious disease data based on contact intervals, where the contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact ...
Kenah, Eben
core   +1 more source

Improved Outcomes for Older Children, Adolescents, and Young Adults With Neuroblastoma in the Post‐Immunotherapy Era: An Updated Report From the International Neuroblastoma Risk Group

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background We describe clinical and biologic characteristics of neuroblastoma in older children, adolescents, and young adults (OCAYA); describe survival outcomes in the post‐immunotherapy era; and identify if there is an age cut‐off that best discriminates outcomes.
Rebecca J. Deyell   +14 more
wiley   +1 more source

Survival Analysis for Credit Risk: A Dynamic Approach for Basel IRB Compliance

open access: yesRisks
This paper uses survival analysis as a tool to assess credit risk in loan portfolios within the framework of the Basel Internal Ratings-Based (IRB) approach.
Fernando L. Dala   +2 more
doaj   +1 more source

Various Characterizations of Modified Weibull and Log Modified Distributions [PDF]

open access: yes, 2012
Various characterizations of the well-known modifiedWeibull and log-modifiedWeibull distributions are presented. These characterizations are based on a simple relationship between two truncated moments; on the hazard function and on functions of the ...
Hamedani, Gholamhossein
core   +1 more source

Patient‐Level Barriers and Facilitators to Inpatient Physical Therapy in Adolescents and Young Adults With a Hematological Malignancy: A Qualitative Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher   +8 more
wiley   +1 more source

Odd Generalized Rayleigh- Exponential distribution Statistical Properties with Real Data Application [PDF]

open access: yesKirkuk Journal of Science
In this paper we offer a new distribution due to the most common problem for researchers is to determine a statistical model for analyzing lifetime data.
ِAli Monef
doaj   +1 more source

Characterization of bathtub distributions via percentile residual life functions [PDF]

open access: yes
In reliability theory and survival analysis, many set of data are generated by distributions with bathtub shaped hazard rate functions. Launer (1993) established several relations between the behaviour of the hazard rate function and the percentile ...
Alba M. Franco-Pereira   +2 more
core  

Nonparametric survival analysis of epidemic data

open access: yes, 2011
This paper develops nonparametric methods for the survival analysis of epidemic data based on contact intervals. The contact interval from person i to person j is the time between the onset of infectiousness in i and infectious contact from i to j, where
Aalen   +38 more
core   +1 more source

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