Using a Cox model, NAFLD at baseline predicted the occurrence of carotid plaques (OR=1.
What does CM stand for?
CM stands for Cox Model (biostatistics)
This definition appears very frequently and is found in the following Acronym Finder categories:
- Science, medicine, engineering, etc.
See other definitions of CM
We have 178 other meanings of CM in our Acronym Attic
- Counseling Ministries
- Country Manager (various locations)
- Coupling Multiplier (NIOSH)
- Cours Moyen (French)
- Cow's Milk
- Crane Maintenance
- Crane, Monorail
- Cras Mane (Latin: tomorrow morning; medical prescription instructions)
- Creative Memories
- Credentialed Manager (International City/County Management Association)
- Crédit Mutuel (French bank)
- Crew Manager (fire-fighter rank)
- Crew Module
- Criminal Minds (TV series)
- Criminal Misdemeanor
Samples in periodicals archive:
The Cox models were also refined using stratification and shared frailties.
I believe that the Cox model setup the authors used generated potentially distorted results.
Using Cox models, the researchers calculated the median expected for recipient and graft lifespan for deceased donor transplants performed between 2006 and 2008.
Clinical and radiologic results were measured using Knee Society (KS) scores and implant survivorship was evaluated using multivariate analysis according to the Cox model.
In the former, we use weibull, gompertz and exponentiall functions (these models may present bias problems; nevertheless the estimation is based on two points to have a reference to compare the Cox model and because the risk function is not monotonic).
Among the topics are parametric methods, inferential methods for categorical time-to-event endpoints, an efficient alternative to the Cox model for small trials, the design and analysis of analgesic trials, antiviral trials, parametric likelihoods for multiple nonfatal competing risks and death, and chronic carcinogenicity studies of pharmaceuticals in rodents.
Although Cox proportional hazard model is a well known method to examine the relationship between survival and clinical or demographic covariates (12), certain parametric models can also estimate the parameter more efficiently than the Cox model (13).