Results 251 to 260 of about 22,611 (308)

Younger age doubles medium‐term revision risk after total knee arthroplasty: A nationwide multicenter cohort of 5980 knees from the French SCORE I registry

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Although age is a known predictor of outcomes following total knee arthroplasty (TKA), most large‐scale studies rely on registry data that lack clinical detail and combines multiple implant designs. This study aimed to determine whether age has an independent effect on implant survivorship and clinical outcomes when a single TKA design
Alessandro Carrozzo, Émilie Bérard, Ophélie Manchec, Stefano Jacotti, Régis Pailhe, Etienne Cavaignac   +5 more
wiley   +1 more source

Periapical Bone Loss as a Signal of Risk for Prosthetic Screw Loosening in Full-Arch Implant-Supported Fixed Complete Dentures: A Multicenter Retrospective Pilot Study. [PDF]

Cureus
Ngamdumrongkiat P, Urapepon R.
europepmc   +1 more source

A large-scale neutral comparison study of survival models on low-dimensional data. [PDF]

Bioinformatics
Burk L, Zobolas J, Bischl B, Bender A, Wright MN, Sonabend R.   +5 more
europepmc   +1 more source

Integrating preliminary test and Stein-type techniques to improve estimation in the time-dependent Cox model. [PDF]

PLoS One
Ramezani R, Rabiei MR, Arashi M.
europepmc   +1 more source

Time-to-event ensemble machine learning approach for predicting long-term survival of abdominal aortic aneurysm patients undergoing endovascular aneurysm repair. [PDF]

PLoS One
Choi HJ, Lee C, Lim JS, Ok YJ, Choi JS, Jeong JH, Seong YW, Moon HJ, Oh SJ.   +8 more
europepmc   +1 more source

Mapping Metastatic Spread in Uterine Sarcoma: A Population-Based Analysis of First Metastatic Patterns and Outcomes. [PDF]

Cancers (Basel)
Gennari P, Ignatov A.
europepmc   +1 more source

Statistical inference after variable selection in Cox models: a neutral simulation study. [PDF]

BMC Med Res Methodol
Schemet L, Friedrich-Welz S.
europepmc   +1 more source

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Maximum Likelihood Estimation in Survival Analysis with Grouped Data on Censored Individuals and Continuous Data on Failures

Applied Statistics, 1994
Summary: In grouped survival data, the study of the variation in the risk as a function of covariates depends on the chosen classes for the covariates. We present a method which allows us to take into account knowledge of the individual values of the covariates, for failed individuals only. The method is applied to the study of the relationship between
Huet, S., Kaddour, A.
semanticscholar   +5 more sources

Estimation and optimisation of right-censored data in survival analysis by neural network

International Journal of Business Information Systems, 2013
The main topic in medical statistics is survival time. It is difficult to obtain complete data in studies of survival time because of several reasons. One aspect of such difficulty is related to death of all patients. A study is often completed before the death of all patients.
Mohammad Ali Azadeh, Abbas Keramati, Hazhir Tolouei, Reza Parvari, Shima Pashapour   +4 more
openaire   +2 more sources