Determining Differences in Rates Corresponding to a Given Significance Level.

Miller, Allen R.; Feuerman, Martin

Determining Differences in Rates Corresponding to a Given Significance Level.

Active / Technical Report | Accession Number: ADA185004 |

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Abstract:

The well-known Chi-square test can be used to determine whether the difference in two rates is statistically significant, and if so, at what level of significance. This paper discusses the related question of how large a difference in rates must be when one rate is held constant in order to show statistical significance at a given level of significance. An illustrative example, adapted from data appearing in the biostatistical literature, is provided.

Author(s):

Miller, Allen R. ; Feuerman, Martin

Author Organization(s):

NAVAL RESEARCH LAB WASHINGTON DC

Descriptive Note:

Final memo. rept. Oct 86-Mar 87,

Supplementary Note:

Prepared in collaboration with New Jersey Medical School, Newark, NJ.

Pagination:

0009

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:

Approved For Public Release

RECORD

Collection: TR

Identifying Numbers

Report Number(s):

NRL-MR-6060

Subject Terms

Joint Capability Areas:

JCA_1.4.1_Force Health Protection; JCA_1.4_Force Support

Communities of Interest:

Biomedical

Descriptor(s):

*CHI SQUARE TEST, *BIOSTATISTICS, CONFIDENCE LEVEL, INEQUALITIES, COMPUTATIONS

Field(s)/Group(s):

Statistics and Probability

Report Date:

1987 Sep 04