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Estimating lognormal hazard function

Journal of Statistical Planning and Inference, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Peszek, Iza, Rukhin, Andrew L.
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Tutorial on Discrete Hazard Functions

Quality Management in Health Care, 2007
Risk analysis requires estimation of hazard functions. A hazard rate is the conditional probability of adverse sentinel event occurring in the next time period, given that it has not yet occurred. This tutorial shows how hazard functions are estimated from survival functions, the probability of going through a time period without the sentinel event ...
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Hazard Function Estimation Using B-Splines

Biometrics, 1995
A flexible parametric procedure is given to model the hazard function as a linear combination of cubic B-splines and to obtain maximum likelihood estimates from censored survival data. The approach yields smooth estimates of the hazard and survivorship functions that are intermediate in structure between strongly parametric and non-parametric models. A
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[The hazard function].

Epidemiologia e prevenzione, 2008
In cohort studies the event occurrence is usually described by the incidence rate and the survivor function. In comparison with these estimators the plot of the hazard function has the advantage to show the variations of the occurrence of the event along the period of observation, which often are important to be highlighted. Furthermore, when comparing
Enzo, Coviello   +3 more
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Potential Hazard of Two Functioning Pacemakers

Chest, 1972
A patient with the bradycardia-tachycardia syndrome received a permanent ventricular inhibited demand pacemaker as well as a standby temporary transvenous pacemaker. When ventricular premature beats were seen, the temporary pacemaker was activated at 135 beats/min.
L, Gould, R F, Gomprecht
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Hazard function estimators: a simulation study

Statistics in Medicine, 1999
Kernel-based methods for the smooth, non-parametric estimation of the hazard function have received considerable attention in the statistical literature. Although the mathematical properties of the kernel-based hazard estimators have been carefully studied, their statistical properties have not.
K R, Hess, D M, Serachitopol, B W, Brown
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Antigenic diversity thresholds and hazard functions

Mathematical Biosciences, 1997
In this paper, we answer some points made in a recent paper by N.I. Stilianakis and coworkers on the antigenic diversity threshold model for acquired immune deficiency syndrome pathogenesis. An extended version of the model is then used to compute hazard functions for the human immunodeficiency virus incubation period that are in agreement with ...
May, Robert M.   +2 more
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Hazard function estimation with nonnegative “wavelets”

Statistics & Probability Letters, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Angers, Jean-Francois, MacGibbon, Brenda
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Influence functions for proportional hazards regression

Biometrika, 1985
SUMMARY Influence functions for the regression parameters in the proportional hazards model are presented. It is suggested that empirical influence functions, computed for each observation and each covariate, can be useful in an informal way to identify influential observations.
N. Reid, H. Crepeau
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Nonmonotone Hazard Quantile Functions

2013
The existence of nonmonotonic hazard rates was recognized from the study of human mortality three centuries ago. Among such hazard rates, ones with bathtub or upside-down bathtub shape have received considerable attention during the last five decades. Several models have been suggested to represent lifetimes possessing bathtub-shaped hazard rates.
N. Unnikrishnan Nair   +2 more
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