The phrase "affect the hazard of" is correct and usable in written English.
It can be used when discussing factors that influence the level of risk or danger associated with a particular situation or condition.
Example: "The new safety protocols are designed to affect the hazard of workplace accidents significantly."
Alternatives: "influence the risk of" or "impact the danger of".
Fourth, the model's unobserved heterogeneity components suggest that unobserved characteristics affect the hazard of returning to work.
The Cox model is a form of semi-parametric regression which allows covariates to affect the hazard of some event.
If k= 1 and σ= 1, then t has an exponential distribution as a special case of the Weibull distribution, etc. Model (2) will not provide consistent estimates if there are unobserved students' characteristics that affect the hazard of graduation.
We assumed this model under the null hypothesis (i.e., that experience does not affect the hazard of injury).
Once a simulated dataset had been created, we estimated the propensity score using a logistic regression model to regress the indicator variable denoting treatment status on the seven variables that affect the hazard of the outcome (X4 - X10),.
We investigate two statistical approaches for analyzing the relationship between the proposed stages of bipolar disorder: 1) the early stages are considered as time-varying covariates affecting the hazard of bipolar disorder in a Cox proportional hazards model, 2) the early stages are explicitly modelled as states in a non-parametric multi-state model.
We used a Cox regression model with time constant and time varying predictors to determine factors affecting the hazard of HPV vaccination initiation.
Using a data set of 81,301 hourly production workers of a global aluminum company at 207 US facilities, we compared competing parametric models for the baseline hazard to assess whether experience affected the hazard of injury at hire and after later job changes.
Across groups, the frailties are assumed to be gamma-distributed latent random effects that affect the hazard multiplicatively, or, equivalently, the logarithm of the frailty enters the linear predictor as a random offset.
In addition, x1j is a vector of variables affecting the hazard rate of returning to accommodated work (j =1), non-accommodated work (j = 2) and to a new employer (j = 3), and β1j; j = 1, 2, 3 is a corresponding row vector of regression coefficients.
