PHM

(redirected from Proportional Hazards Model)
Also found in: Wikipedia.
AcronymDefinition
PHMPopulation Health Management
PHMPenn Harris Madison (school system; Indiana)
PHMPhone Module
PHMPowerhouse Museum (Australia)
PHMPeople's Health Movement
PHMPlease Help Me
PHMPrognostics & Health Management (aircraft technology)
PHMPharmacist's Mate (rank; US Navy)
PHMPretty Hate Machine (Nine Inch Nails album)
PHMPrognostic Health Management (aerospace technology)
PHMPink Hibiscus Mealybug (Maconellicoccus hirsutus)
PHMPublic Health Management
PHMPop Hits Monthly (recordings; Wilmington, DE)
PHMProportional Hazards Model
PHMPassive Hydrogen Maser
PHMPublic Housing Manager (certification)
PHMPer Hundred Million (measurement)
PHMPost Harvest Management
PHMPoverty, Hunger and Malnutrition
PHMPrince Hall Mason (freemasonry)
PHMPure House Music
PHMPublic Health Microbiologist
PHMPublic Health Midwife (Sri Lanka)
PHMGuided Missile Patrol Combatant (Hydrofoil)
PHMParallel Hierarchical Matching
PHMProgramme de l'Hygiène du Milieu (French: Environmental Health Program)
PHMPagan History Month
PHMPatrol Hydrofoil Guided Missile Ship
PHMPasteurized Human Milk
PHMPath History Management
PHMProcess Hazard Management (various companies)
References in periodicals archive ?
On cox proportional hazards model, after controlling for age and tumor sizes was independently associated with LVI among BCS [Table 2].
The classical techniques of survival analysis, most used to study survival time, are the non-parametric estimator of Kaplan-Meier and the proportional hazards models such as Cox's.
Cox's proportional hazards model was used to estimate the magnitude of dependency on various risk factors for died cases of DR-TB and CI was held at 95%.
Let h(t) be the hazard rate at time t; the generic form of a Cox's proportional hazards model can be expressed as
Sun, "Bayesian variable selection in semiparametric proportional hazards model for high dimensional survival data," International Journal of Biostatistics, vol.
Relationship between type traits and longevity in Canadian Jerseys and Ayrshires using a Weibull Proportional Hazards Model. J.
Practical problems in fitting a proportional hazards model to data with updated measurements of the covariates.
2008; Wolf and Armstrong 2012), Cox proportional hazards model (Bruckner et al.
TABLE 3: Cox proportional hazards model to predict the 5-year mortality of patients with IPF.
The effects of covariates on cause-specific hazard functions were assumed to satisfy proportional hazards models. They proved the asymptotic normality of the multiple imputation estimates and derived a consistent variance estimate for them.
Full browser ?