145 research outputs found
The Dependent Poisson Race Model and Modeling Dependence in Conjoint Choice Experiments
No full textBayesian model, dependent processes, dominance, multinomial logit model, Poisson process,
sj-docx-2-han-10.1177_15589447211066347 – Supplemental material for The Current State of Fat Grafting in the Hand: A Systematic Review for Hand Diseases
No full textSupplemental material, sj-docx-2-han-10.1177_15589447211066347 for The Current State of Fat Grafting in the Hand: A Systematic Review for Hand Diseases by Alexander N. Khouri, Widya Adidharma, Mark MacEachern, Steven C. Haase, Jennifer F. Waljee, Paul S. Cederna and Amy L. Strong in HAND</p
sj-docx-1-han-10.1177_15589447211066347 – Supplemental material for The Current State of Fat Grafting in the Hand: A Systematic Review for Hand Diseases
No full textSupplemental material, sj-docx-1-han-10.1177_15589447211066347 for The Current State of Fat Grafting in the Hand: A Systematic Review for Hand Diseases by Alexander N. Khouri, Widya Adidharma, Mark MacEachern, Steven C. Haase, Jennifer F. Waljee, Paul S. Cederna and Amy L. Strong in HAND</p
Subsampling the Gibbs Sampler
No full textINTRODUCTION Markov chain Monte Carlo methods have enjoyed a surge of interest since Gelfand and Smith (1990) described the Gibbs sampler and its effectiveness in providing approximate Bayesian solutions for models that had previously been approachable only with great difficulty, or that had been discarded as being too difficult to work with. Ongoing research in this area includes widening the applications to ever more detailed and difficult problems, alteration and improvement of the algorithm, and improvement of estimates based on the Markov chain. See Besag and Green (1993) and Smith and Roberts (1993). One of the extraordinary features of the Gibbs sampler is that the theory behind it can be presented at an elementary level (Casella and George, 1992), giving upper level undergraduate or beginning graduate students a glimpse Steve MacEachern is Assistant Professor, Department of Statistics, Ohio State University, and Visiting Assistant Professor, Institute
Efficient quantile regression for heteroscedastic models
No full textQuantile regression (QR) provides estimates of a range of conditional quantiles. This stands in contrast to traditional regression techniques, which focus on a single conditional mean function. Lee et al. [Regularization of case-specific parameters for robustness and efficiency. Statist Sci. 2012;27(3):350–372] proposed efficient QR by rounding the sharp corner of the loss. The main modification generally involves an asymmetric ℓ₂ adjustment of the loss function around zero. We extend the idea of ℓ₂ adjusted QR to linear heterogeneous models. The ℓ₂ adjustment is constructed to diminish as sample size grows. Conditions to retain consistency properties are also provided
Soul and body, sound and hearty: getting to know Bishop MacEachern
No full textThe examination of a letter written by first Roman Catholic bishop of Prince Edward Island, the Scottish Highlander Angus Bernard MacEachern, written in 1832 to a former parishoner Angus Walker in which the bishop engages in clever code switching from English to Scottish Gaelic and back in order to deliver a message which could only be understood, if intercepted, by another bilingual Scottish Gaelic/English speaker. The paper reveals the historical setting of the 1832 letter and goes on to examine closely the passages of Scottish Gaelic: their meaning in terms of social commentary, their non-standard orthography which provide clues to mainland Scottish dialect variants evidenced by the same, and the descriptions of parishoners encrypted in the author's first language.Source type: Print(0
A comparative study of international recruitment – tensions and opportunities in institutional recruitment practice
No full textA Critical Analysis of Peer Reviewer Comments on Systematic Review Search Strategies
No full textThis document is a working draft, presented as-is. The authors do not plan to complete and submit it for publication.The full dataset for this project is available at:
Townsend, W. A., MacEachern, M. P., Song, J. (2020). Analyzing Reviewer Responses to Systematic Review Search Methodology through Open Peer Review [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/acjm-cz18Introduction: Numerous studies have demonstrated the poor quality of systematic reviews. While many groups provide methodology recommendations to increase the quality of search strategies and compliance with reporting standards, it is unclear how often or how rigorously the search strategies are actually reviewed during the manuscript peer review process. The peer review process should address egregious methodology and reporting issues, but we hypothesize that this process seldom adequately addresses the search methods. Through Open Peer Review (OPR), we were able to investigate how peer review handles the search process of systematic review studies.
Methods:
We conducted a search through one publisher's 54 medicine and public health journals that provide OPR documentation in order to identify systematic review papers published in 2017. For each article we determined if OPR data, reviewer and author comments, were accessible. If so, we assessed the search methodology and reporting quality of the search process with a grading rubric based on PRISMA and PRESS standards, and then mined peer reviewer comments for references to the search methodology.http://deepblue.lib.umich.edu/bitstream/2027.42/193519/1/FOR DEPOSIT Manuscript Outline_Open Peer Review.docxDescription of FOR DEPOSIT Manuscript Outline_Open Peer Review.docx : Draft articleSEL
- …
