Title |
A Modified Poisson Regression Approach to Prospective Studies with Binary Data
|
---|---|
Published in |
American Journal of Epidemiology, April 2004
|
DOI | 10.1093/aje/kwh090 |
Pubmed ID | |
Authors |
Guangyong Zou |
Abstract |
Relative risk is usually the parameter of interest in epidemiologic and medical studies. In this paper, the author proposes a modified Poisson regression approach (i.e., Poisson regression with a robust error variance) to estimate this effect measure directly. A simple 2-by-2 table is used to justify the validity of this approach. Results from a limited simulation study indicate that this approach is very reliable even with total sample sizes as small as 100. The method is illustrated with two data sets. |
X Demographics
The data shown below were collected from the profiles of 47 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 12 | 26% |
United States | 7 | 15% |
United Kingdom | 2 | 4% |
Canada | 1 | 2% |
Curaçao | 1 | 2% |
Netherlands | 1 | 2% |
Chile | 1 | 2% |
Unknown | 22 | 47% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 32 | 68% |
Scientists | 8 | 17% |
Practitioners (doctors, other healthcare professionals) | 6 | 13% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 23 | 1% |
Canada | 5 | <1% |
Germany | 4 | <1% |
Netherlands | 4 | <1% |
Denmark | 3 | <1% |
United Kingdom | 3 | <1% |
Kenya | 3 | <1% |
Japan | 2 | <1% |
Bangladesh | 2 | <1% |
Other | 15 | <1% |
Unknown | 2042 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 394 | 19% |
Student > Ph. D. Student | 343 | 16% |
Student > Master | 280 | 13% |
Student > Doctoral Student | 135 | 6% |
Other | 122 | 6% |
Other | 399 | 19% |
Unknown | 433 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 721 | 34% |
Social Sciences | 164 | 8% |
Nursing and Health Professions | 128 | 6% |
Agricultural and Biological Sciences | 95 | 5% |
Mathematics | 91 | 4% |
Other | 301 | 14% |
Unknown | 606 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 105. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 April 2024.
All research outputs
#407,953
of 25,738,558 outputs
Outputs from American Journal of Epidemiology
#304
of 9,017 outputs
Outputs of similar age
#391
of 65,442 outputs
Outputs of similar age from American Journal of Epidemiology
#3
of 48 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,017 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.0. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 65,442 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.