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Trent D. Buskirk
Trent D. Buskirk
Professor and Data Science Fellow, School of Data Science, Old Dominion University
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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
2312007
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
1712008
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
1582007
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
1552014
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
1452008
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
1382009
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
1292017
Smart surveys for smart phones: Exploring various approaches for conducting online mobile surveys via smartphones
TD Buskirk, C Andres
Survey Practice 5 (1), 2012
1212012
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
962014
An introduction to machine learning methods for survey researchers
TD Buskirk, A Kirchner, A Eck, CS Signorino
Survey Practice 11 (1), 2018
682018
Using text messages in US mobile phone surveys
C Steeh, TD Buskirk, M Callegaro
Field Methods 19 (1), 59-75, 2007
672007
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
642015
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
622014
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
432018
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
432005
The future of US general population telephone survey research
P Lavrakas, G Benson, S Blumberg, T Buskirk, IF Cervantes, L Christian, ...
AAPOR Report, 2017
422017
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
422008
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
412020
Sampling, data collection, and weighting procedures for address-based sample surveys
MP Battaglia, DA Dillman, MR Frankel, R Harter, TD Buskirk, CB McPhee, ...
Journal of Survey Statistics and Methodology, smw025, 2016
382016
Nonparametric statistical techniques
TD Buskirk, LM Willoughby, TJ Tomazic
The Oxford handbook of quantitative methods. Statistical analysis 2, 106-141, 2013
382013
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