Specification analysis in mixed hazard models and a test of crossing survival functions

DOI10.1007/BF02927109zbMath0915.62035MaRDI QIDQ1280035

Karl C. Mosler, Tomas Philipson

Publication date: 18 May 1999

Published in: Statistical Papers (Search for Journal in Brave)

zbMATH Keywords

specification testsunobserved heterogeneitysurvival functionsdemand for vaccinesproportional hazard models

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Inference for the crossing point of two continuous cdf's
• Testing for first order stochastic dominance in either direction
• Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
• Chi-squared goodness-of-fit tests for the proportional hazards regression model
• Modified Kolmogorov-Smirnov Test Procedures with Application to Arbitrarily Right-Censored Data
• A class of hypothesis tests for one and two sample censored survival data
• Testing Goodness of Fit of Cox's Regression and Life Model
• Checking the Cox model with cumulative sums of martingale-based residuals
• A two-sample distribution-free scale test of the smirnov type
• The empirical content of canonical models of infectious diseases: The proportional hazard specification
• The Distribution Functions of Tsao's Truncated Smirnov Statistics
• An Extension of Massey's Distribution of the Maximum Deviation Between Two- Sample Cumulative Step Functions

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