Semiparametric Regression Analysis for Recurrent Event Interval Counts

DOI10.2307/2533501zbMath1065.62514OpenAlexW2321910976WikidataQ52251345 ScholiaQ52251345MaRDI QIDQ4381025

Joan G. Staniswalis, John Salch, Peter F. Thall

Publication date: 1997

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533501

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Bayesian Modeling of Multiple Lesion Onset and Growth from Interval-Censored Data ⋮ Regression splines in the quasi-likelihood analysis of recurrent event data ⋮ Monotone spline‐based least squares estimation for panel count data with informative observation times ⋮ Robust Tests for Treatment Effects Based on Censored Recurrent Event Data Observed over Multiple Periods ⋮ Analysis of repeated events ⋮ A kernel smoothed semiparametric survival model ⋮ A family of repeated measurements models ⋮ A Semiparametric Model for the Analysis of Recurrent-Event Panel Data ⋮ THE ANALYSIS OF RECURRENT FAILURE TIMES: THE TIME-DEPENDENT YULE PROCESS APPROACH ⋮ Analysis of Panel Count Data with Dependent Observation Times ⋮ Semiparametric Regression Analysis of Panel Count Data with Time-Dependent Covariates and Informative Observation and Censoring Times ⋮ Analysis of interval-grouped recurrent-event data using piecewise constant rate functions ⋮ Nonparametric inference based on panel count data

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