Results 271 to 280 of about 1,821,882 (341)

Addressing biases: Evaluating the Cox proportional hazards model and alternative approaches for major adverse cardiovascular events research. [PDF]

Eur Stroke J
Xu L, Zhou B, Xu Y.
europepmc   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source

Revisiting Factors Influencing Under-Five Mortality in India: The Application of a Generalised Additive Cox Proportional Hazards Model. [PDF]

Int J Environ Res Public Health
Khan MA, Das SK.
europepmc   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

Non-proportional hazards model with a PVF frailty term: application with a melanoma dataset. [PDF]

J Appl Stat
Rosa KC, Calsavara VF, Louzada F.
europepmc   +1 more source

Factors affecting the survival of prediabetic patients: comparison of Cox proportional hazards model and random survival forest method. [PDF]

BMC Med Inform Decis Mak
Sharafi M, Mohsenpour MA, Afrashteh S, Eftekhari MH, Dehghan A, Farhadi A, Jafarnezhad A, Zakeri A, Looha MA.   +8 more
europepmc   +1 more source

Latent Class Proportional Hazards Regression with Heterogeneous Survival Data. [PDF]

Stat Interface
Fei T, Hanfelt JJ, Peng L.
europepmc   +1 more source

Comment on Pu et al. Predicting Postoperative Lung Cancer Recurrence and Survival Using Cox Proportional Hazards Regression and Machine Learning. Cancers 2025, 17, 33. [PDF]

Cancers (Basel)
Okura T, Sakata KI, Itagaki T.
europepmc   +1 more source

Graphical methods to illustrate the nature of the relation between a continuous variable and the outcome when using restricted cubic splines with a Cox proportional hazards model. [PDF]

Stat Methods Med Res
Austin PC.
europepmc   +1 more source