John W Seaman Jr
Overview
Explore the profile of John W Seaman Jr including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
147
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Recent Articles
11.
Ferraro J, Plummer T, Pobiner B, Oliver J, Bishop L, Braun D, et al.
PLoS One
. 2013 May;
8(4):e62174.
PMID: 23637995
The emergence of lithic technology by ≈ 2.6 million years ago (Ma) is often interpreted as a correlate of increasingly recurrent hominin acquisition and consumption of animal remains. Associated faunal...
12.
Faries D, Peng X, Pawaskar M, Price K, Stamey J, Seaman Jr J
Value Health
. 2013 Mar;
16(2):259-66.
PMID: 23538177
The quantitative assessment of the potential influence of unmeasured confounders in the analysis of observational data is rare, despite reliance on the "no unmeasured confounders" assumption. In a recent comparison...
13.
Bennett M, Crowe B, Price K, Stamey J, Seaman Jr J
J Biopharm Stat
. 2013 Jan;
23(1):129-45.
PMID: 23331227
Using meta-analysis in health care research is a common practice. Here we are interested in methods used for analysis of time-to-event data. Particularly, we are interested in their performance when...
14.
Holt M, Stamey J, Seaman Jr J, Young D
J Biopharm Stat
. 2009 Jan;
19(1):120-32.
PMID: 19127471
We develop a Bayesian analysis for the study of fixed-dose combinations of two or more drugs. The approach described here does not require knowledge of the dose-response relationships of the...
15.
McGlothlin A, Stamey J, Seaman Jr J
Biom J
. 2008 Feb;
50(1):123-34.
PMID: 18283683
We consider a Bayesian analysis for modeling a binary response that is subject to misclassification. Additionally, an explanatory variable is assumed to be unobservable, but measurements are available on its...
16.
Stamey J, Young D, Seaman Jr J
Stat Med
. 2007 Nov;
27(13):2440-52.
PMID: 17979218
Response misclassification of counted data biases and understates the uncertainty of parameter estimators in Poisson regression models. To correct these problems, researchers have devised classical procedures that rely on asymptotic...
17.
Lavery L, Barnes S, Keith M, Seaman Jr J, Armstrong D
Diabetes Care
. 2007 Oct;
31(1):26-9.
PMID: 17934156
Objective: To evaluate the probability of wound healing based on percentage of wound area reduction (PWAR) at 1 and 4 weeks in individuals with large, chronic, nonischemic diabetic foot wounds...
18.
Barnes S, Lindborg S, Seaman Jr J
Stat Med
. 2005 Oct;
25(2):233-45.
PMID: 16220515
Clinical trials allow researchers to draw conclusions about the effectiveness of a treatment. However, the statistical analysis used to draw these conclusions will inevitably be complicated by the common problem...