Results 41 to 50 of about 359,465 (284)

spBayesSurv: Fitting Bayesian Spatial Survival Models Using R

Journal of Statistical Software, 2020
Spatial survival analysis has received a great deal of attention over the last 20 years due to the important role that geographical information can play in predicting survival.
Haiming Zhou, Timothy Hanson, Jiajia Zhang   +2 more
doaj   +1 more source

Cox regression survival analysis with compositional covariates: application to modelling mortality risk from 24-h physical activity patterns [PDF]

, 2020
Survival analysis is commonly conducted in medical and public health research to assess the association of an exposure or intervention with a hard end outcome such as mortality. The Cox (proportional hazards) regression model is probably the most popular
Chastin, S.F.M., Dall, P.M., Hron, K., McGregor, D.E., Palarea-Albaladejo, J.   +4 more
core   +1 more source

Non-linear dose-response relationship between body mass index and stroke risk in middle-aged and elderly Chinese men: a nationwide Longitudinal Cohort Study from CHARLS

Frontiers in Endocrinology, 2023
ObjectiveBody mass index (BMI) and stroke risk have been linked, but these findings are still debated. This study investigated the relationship between BMI and stroke risk in a middle-aged and elderly Chinese population.MethodsThis study used four waves ...
Gang Wei, Feng Lin, Changchun Cao, Haofei Hu, Yong Han   +4 more
doaj   +1 more source

Extensions of Cox model for non-proportional hazards purpose [PDF]

Ekonometria, 2014
Cox proportional hazard model is one of the most common methods used in analysis of time to event data. The idea of the model is to define hazard level as a dependent variable which is being explained by the time-related component (so called baseline hazard) and covariates-related component.
openaire   +1 more source

K-sample omnibus non-proportional hazards tests based on right-censored data [PDF]

Statistical Methods in Medical Research, 2020
This work presents novel and powerful tests for comparing non-proportional hazard functions, based on sample–space partitions. Right censoring introduces two major difficulties, which make the existing sample–space partition tests for uncensored data non-applicable: (i) the actual event times of censored observations are unknown and (ii) the standard ...
Malka Gorfine, Matan Schlesinger, Li Hsu
openaire   +3 more sources

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

Triglyceride to high-density lipoprotein cholesterol ratio is associated with regression to normoglycemia from prediabetes in adults: a 5-year cohort study in China

Journal of Translational Medicine, 2023
Objective The current body of evidence on the association between the ratio of triglycerides to high-density lipoprotein cholesterol (TG/HDL-c) and the reversal of prediabetes to normoglycemia remains limited.
Zhiqiang Huang, Yong Han, Haofei Hu, Changchun Cao, Dehong Liu, Zhibin Wang   +5 more
doaj   +1 more source

Bayesian correction for covariate measurement error: a frequentist evaluation and comparison with regression calibration [PDF]

, 2016
Bayesian approaches for handling covariate measurement error are well established, and yet arguably are still relatively little used by researchers. For some this is likely due to unfamiliarity or disagreement with the Bayesian inferential paradigm.
Bartlett, Jonathan W., Keogh, Ruth H.
core   +2 more sources

Treatment Decision‐Making Roles and Preferences Among Adolescents and Young Adults With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents.
Amanda M. Gutierrez, Jill O. Robinson, Wendy A. Allen‐Rhoades, Hadley S. Smith, Isabel Canfield, Rebecca L. Hsu, Sarah R. Scollon, Lauren R. Desrosiers‐Battu, Nicole M. Schneider, Frank Y. Lin, Donald Williams Parsons, Sharon E. Plon, Mary A. Majumder, Janet Malek, Amy L. McGuire   +14 more
wiley   +1 more source

Machine learning algorithms for predicting unemployment duration in Russia [PDF]

Russian Journal of Economics
Predictions of the individual unemployment duration will allow to distribute target support while searching for a job more effectively. The paper uses survival models to predict the unemployment duration based on data from Russian employment centers in ...
Anna A. Maigur
doaj   +3 more sources