Improved monte carlo estimation of statistical significance for tests of trend in rates proportions

DOI10.1080/00949658708811002zbMath0612.62138OpenAlexW1970799452MaRDI QIDQ3753363

Kenneth J. Kopecky, Dale L. Preston

Publication date: 1987

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949658708811002

zbMATH Keywords

importance samplingefficiencyFortran programp-valueslevels of significanceconditional tests for monotone trends in rates or proportionslogrank trend testMonte Carlo (MC) estimation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Probabilistic methods, stochastic differential equations (65C99)

Cites Work

• Small-Sample Properties of Censored-Data Rank Tests
• A method for constructing exact tests from test statistics that have unknown null distributions
• Tests for trend in life table analysis
• Variance reduction and nonnormality
• Chi-Square Tests with One Degree of Freedom; Extensions of the Mantel- Haenszel Procedure

This page was built for publication: Improved monte carlo estimation of statistical significance for tests of trend in rates proportions