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A stratified Wilcoxon-type test for trend.

D Y Pee¹, L S Freedman

¹Information Management Services Inc., Silver Spring, MD 20910.

Statistics in Medicine

|July 1, 1990

Summary

This summary is machine-generated.

We extended a statistical trend test for grouped data, improving analysis in cancer epidemiology studies. This method enhances understanding of outcomes within related strata.

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Area of Science:

Statistics
Epidemiology
Biostatistics

Background:

Trend tests are crucial for analyzing ordered categorical data.
Cuzick's test is a non-parametric Wilcoxon-like trend test.
Existing methods may not fully account for related strata in observational data.

Purpose of the Study:

To propose an extension of Cuzick's trend test.
To accommodate observations grouped into strata related to the outcome.
To provide a tool for analyzing stratified epidemiological data.

Main Methods:

Extension of Cuzick's non-parametric Wilcoxon-like trend test.
Incorporation of strata information into the trend test framework.
Application and illustration using cancer epidemiology examples.

Main Results:

The proposed extension is applicable to stratified data.
Demonstrated utility in two cancer epidemiology case studies.
Provides a method for trend analysis in the presence of outcome-related strata.

Conclusions:

The extended trend test offers a valuable method for stratified data analysis.
Enhances the applicability of Cuzick's test in epidemiological research.
Facilitates more nuanced understanding of trends in stratified health outcomes.