Proportional mean model for panel count data with multiple modes of recurrence

07/03/2021
by   Sreedevi E P, et al.
0

Panel count data is common when the study subjects are exposed to recurrent events, observed only at discrete time points. In this article, we consider the regression analysis of panel count data with multiple modes of recurrence. We propose a proportional mean model to estimate the effect of covariates on the underlying counting process due to different modes of recurrence. The simultaneous estimation of baseline cumulative mean functions and regression parameters of (k>1) recurrence modes are studied in detail. Asymptotic properties of the proposed estimators are also established. A Monte Carlo simulation study is carried out to validate the finite sample behaviour of the proposed estimators. The methods are applied to a real data arising from skin cancer chemoprevention trial.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/03/2021

Cause specific rate functions for panel count data with multiple modes of recurrence

Panel count data arise from longitudinal studies on recurrent events whe...
research
08/31/2021

Comparison of cause specific rate functions of panel count data with multiple modes of recurrence

Panel count data refer to the data arising from studies concerning recur...
research
03/02/2020

A Functional EM Algorithm for Panel Count Data with Missing Counts

Panel count data is recurrent events data where counts of events are obs...
research
04/27/2022

Semiparametric transformation Model with measurement error in Covariates: An Instrumental variable approach

Linear transformation model provides a general framework for analyzing c...
research
06/20/2019

Improving estimation of the volume under the ROC surface when data are missing not at random

In this paper, we propose a mean score equation-based approach to estima...
research
07/05/2020

Semiparametric transformation model for competing risks data with cure fraction

Modelling and analysis of competing risks data with long-term survivors ...
research
07/11/2021

Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response

The proportional odds cumulative logit model (POCLM) is a standard regre...

Please sign up or login with your details

Forgot password? Click here to reset