| healthjournals {SDAResources} | R Documentation |
healthjournals data
Description
Randomization and statistical inference practices in a stratified random sample of 196 public health articles. The data, provided courtesy of Dr. Matt Hayat, are discussed in Hayat and Knapp (2017). The variables provided in healthjournals are a subset of the variables collected by the authors.
Usage
data(healthjournals)
Format
This data frame contains the following columns:
- journal:
journal that published the article
AJPH = American Journal of Public Health
AJPM = American Journal of Preventive Medicine
PM = Preventive Medicine
- NumAuthors:
number of authors
- RandomSel:
-
"Yes" if data in the article were from a randomly selected (probability) sample
"No" otherwise
- RandomAssn:
-
"Yes" if study subjects for the article were randomly assigned to treatment groups
"No" otherwise
- ConfInt:
-
"Yes" if a confidence interval appeared in the article's main text, tables, or figures
"No" otherwise
- HypTest:
-
"Yes" if a p-value or significance test appeared in the article's main text, tables, or figures
"No" otherwise
- Asterisks:
-
"Yes" if asterisks were used to represent p-value ranges
"No" otherwise
References
Hayat, M. and T. Knapp (2017). Randomness and inference in medical and public health research. Journal of the Georgia Public Health Association 7 (1), 7–11.
Lohr (2021), Sampling: Design and Analysis, 3rd Edition. Boca Raton, FL: CRC Press.
Lu and Lohr (2021), R Companion for Sampling: Design and Analysis, 3rd Edition, 1st Edition. Boca Raton, FL: CRC Press.