PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 1, 1955Biometrics2,102 citations

Tests for Linear Trends in Proportions and Frequencies

View Full Paper
PAP. Armitage

Key Points

  • To establish statistical tests specifically designed to detect linear trends across ordered proportions and frequency tables.
  • Evaluated test performance on ordered categorical data using an example comparing carrier rates across increasing tonsil size classifications.
  • Compared standard 2 x k contingency table chi-square analysis against tests sensitive to directional linear ordering.
  • Standard 2 x 3 contingency table chi-square test yielded χ² = 7.89 on 2 degrees of freedom (p ≈ 0.02).
  • Tests structured specifically for ordered categories capture directional trends with higher statistical significance than general omnibus tests.

Abstract

One frequently encounters data consisting of a series of proportions, occurring in groups which fall into some natural order. The question usually asked is then not so much whether the proportions differ significantly, but whether they show a significant trend, upwards or downwards, with the ordering of the groups, In the data shown in Table 1, for, instance, the usual test for a 2 X 3 contingency table yields a x2 equal to 7.89 on 2 degrees of freedom, corresponding to a probability of about 0.02. But this calculation takes no account of the fact that the carrier rate increases with the tonsil size, and it is reasonable to believe that a test specifically designed to detect a trend in the carrier rate as the tonsil size increases would show a much higher degree of significance.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

P. Armitage (1955) studied this question.

synapsesocial.com/papers/697b24953203c297974826d6https://doi.org/10.2307/3001775
Ask AI
Helpful
Bookmark
Share
View Full Paper