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Trent D. Buskirk
Trent D. Buskirk
Professor and Data Science Fellow, School of Data Science, Old Dominion University
Bestätigte E-Mail-Adresse bei bgsu.edu
Titel
Zitiert von
Zitiert von
Jahr
The rationale, design, and implementation of the American Cancer Society's studies of cancer survivors
T Smith, KD Stein, CC Mehta, C Kaw, JL Kepner, T Buskirk, J Stafford, ...
Cancer 109 (1), 1-12, 2007
2222007
Factors associated with persistence in science and engineering majors: An exploratory study using classification trees and random forests
G Mendez, TD Buskirk, S Lohr, S Haag
Journal of Engineering Education 97 (1), 57-70, 2008
1652008
Traditional and virtual microscopy compared experimentally in a classroom setting
SA Scoville, TD Buskirk
Clinical Anatomy: The Official Journal of the American Association of …, 2007
1532007
Mobile technologies for conducting, augmenting and potentially replacing surveys: Executive summary of the AAPOR task force on emerging technologies in public opinion research
MW Link, J Murphy, MF Schober, TD Buskirk, J Hunter Childs, ...
Public Opinion Quarterly 78 (4), 779-787, 2014
1512014
What makes cancer survivor stories work? An empirical study among African American women
MW Kreuter, TD Buskirk, K Holmes, EM Clark, L Robinson, X Si, S Rath, ...
Journal of Cancer Survivorship 2, 33-44, 2008
1402008
Worksite Opportunities for Wellness (WOW): effects on cardiovascular disease risk factors after 1 year
SB Racette, SS Deusinger, CL Inman, TL Burlis, GR Highstein, TD Buskirk, ...
Preventive medicine 49 (2-3), 108-114, 2009
1372009
Apples to oranges or gala versus golden delicious? Comparing data quality of nonprobability internet samples to low response rate probability samples
D Dutwin, TD Buskirk
Public Opinion Quarterly 81 (S1), 213-239, 2017
1202017
Smart surveys for smart phones: Exploring various approaches for conducting online mobile surveys via smartphones
TD Buskirk, C Andres
Survey Practice 5 (1), 2012
1202012
Making mobile browser surveys smarter: results from a randomized experiment comparing online surveys completed via computer or smartphone
TD Buskirk, CH Andrus
Field Methods 26 (4), 322-342, 2014
922014
Using text messages in US mobile phone surveys
C Steeh, TD Buskirk, M Callegaro
Field Methods 19 (1), 59-75, 2007
672007
An introduction to machine learning methods for survey researchers
TD Buskirk, A Kirchner, A Eck, CS Signorino
Survey Practice 11 (1), 2018
662018
Effects of patient health literacy, patient engagement and a system-level health literacy attribute on patient-reported outcomes: a representative statewide survey
KA Kaphingst, NL Weaver, RJ Wray, MLR Brown, T Buskirk, MW Kreuter
BMC health services research 14, 1-8, 2014
612014
Finding respondents in the forest: A comparison of logistic regression and random forest models for response propensity weighting and stratification
TD Buskirk, S Kolenikov
Survey Methods: Insights from the Field, 1-17, 2015
582015
Asymptotic properties of kernel density estimation with complex survey data
TD Buskirk, SL Lohr
Journal of Statistical Planning and Inference 128 (1), 165-190, 2005
442005
Telephone vs. mail survey gives different SF-36 quality-of-life scores among cancer survivors
TD Buskirk, KD Stein
Journal of clinical epidemiology 61 (10), 1049-1055, 2008
412008
The future of US general population telephone survey research
P Lavrakas, G Benson, S Blumberg, T Buskirk, IF Cervantes, L Christian, ...
AAPOR Report, 2017
402017
Nonparametric statistical techniques
TD Buskirk, LM Willoughby, TT Tomazic
402013
Big Data meets survey science: A collection of innovative methods
CA Hill, PP Biemer, TD Buskirk, L Japec, A Kirchner, S Kolenikov, ...
John Wiley & Sons, 2020
382020
Surveying the forests and sampling the trees: An overview of classification and regression trees and random forests with applications in survey research
TD Buskirk
Survey Practice 11 (1), 2018
372018
Disparities by race and ethnicity in cancer survivor stories available on the web
KS Eddens, MW Kreuter, JC Morgan, KE Beatty, S Jasim, L Garibay, ...
Journal of Medical Internet Research 11 (4), e1163, 2009
362009
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