Additive hazards models with latent treatment effectiveness lag time
نویسندگان
چکیده
منابع مشابه
Isotone additive latent variable models
For manifest variables with additive noise and for a given number of latent variables with an assumed distribution, we propose to nonparametrically estimate the association between latent and manifest variables. Our estimation is a two step procedure: first it employs standard factor analysis to estimate the latent variables as theoretical quantiles of the assumed distribution; second, it emplo...
متن کاملProportional Hazards Models: a Latent-risks Approach
We propose a novel semiparametric version of the widely used proportional hazards survival model. Features include an arbitarily rich class of continuous baseline hazards, an attractive epidemiological interpretation of the hazard as a latent competing risk model and trivial handling of censoring. Models are tted using a data augmentation scheme. The methodology is applied to a data set recordi...
متن کاملAdditive hazards model with multivariate failure time data
Marginal additive hazards models are considered for multivariate survival data in which individuals may experience events of several types and there may also be correlation between individuals. Estimators are proposed for the parameters of such models and for the baseline hazard functions. The estimators of the regression coefficients are shown asymptotically to follow a multivariate normal dis...
متن کاملGeneralized additive distributed lag models: quantifying mortality displacement.
There are a number of applied settings where a response is measured repeatedly over time, and the impact of a stimulus at one time is distributed over several subsequent response measures. In the motivating application the stimulus is an air pollutant such as airborne particulate matter and the response is mortality. However, several other variables (e.g. daily temperature) impact the response ...
متن کاملEstimation of population size based on additive hazards models for continuous-time recapture experiments.
We use the semiparametric additive hazards model to formulate the effects of individual covariates on the capture rates in the continuous-time capture-recapture experiment, and then construct a Horvitz-Thompson-type estimator for the unknown population size. The resulting estimator is consistent and asymptotically normal with an easily estimated variance. Simulation studies show that the asympt...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Biometrika
سال: 2002
ISSN: 0006-3444,1464-3510
DOI: 10.1093/biomet/89.4.917