cont3x3abstractors: Distribution of 100 pregnant women by pregnancy type and by...
In irrCAC: Computing Chance-Corrected Agreement Coefficients (CAC)
Description
Usage
Format
Source
Description
This dataset contains pregnancy type data collected from 100 women who entered an Emergency Room with a positive
pregnancy test and a second condition, which is either abdominal pain or vaginal bleeding. After reviewing their
medical records, 2 reviewers (also referred to as abstractors) classified them into one of the following three pregnancy
categories: Ectopic Pregnancy (Ectopic), Abnormal Intrauterine pregnancy (AIU) and Normal Intrauterine Pregnancy
(NIU).
Usage
1
Format
Each row of this dataset describes an interval and the interpretation of the magnitude it represents.
- Type
Pregnancy Type. This variable is shown here for information only and is never used by any function
in the irrCAC package.
- Ectopic
Ectopic Pregnancy
- AIU
Abnormal Intrauterine Pregnancy
- NIU
Normal Intrauterine Pregnancy
Source
Gwet, K.L. (2014). Handbook of Inter-Rater Reliability, 4th Edition. Advanced Analytics, LLC.
irrCAC documentation built on Sept. 23, 2019, 5:05 p.m.
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Description Usage Format Source
Description
This dataset contains pregnancy type data collected from 100 women who entered an Emergency Room with a positive pregnancy test and a second condition, which is either abdominal pain or vaginal bleeding. After reviewing their medical records, 2 reviewers (also referred to as abstractors) classified them into one of the following three pregnancy categories: Ectopic Pregnancy (Ectopic), Abnormal Intrauterine pregnancy (AIU) and Normal Intrauterine Pregnancy (NIU).
Usage
1 |
Format
Each row of this dataset describes an interval and the interpretation of the magnitude it represents.
- Type
Pregnancy Type. This variable is shown here for information only and is never used by any function in the irrCAC package.
- Ectopic
Ectopic Pregnancy
- AIU
Abnormal Intrauterine Pregnancy
- NIU
Normal Intrauterine Pregnancy
Source
Gwet, K.L. (2014). Handbook of Inter-Rater Reliability, 4th Edition. Advanced Analytics, LLC.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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