Publications by authors named "Stephanie Kovalchik"

51Publications

Classification of Players Across the Australian Rules Football Participation Pathway Based on Physical Characteristics.

J Strength Cond Res 2020 Mar 12. Epub 2020 Mar 12.

Institute for Health and Sport (IHES), Victoria University, Melbourne, Australia.

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http://dx.doi.org/10.1519/JSC.0000000000003503DOI Listing
March 2020

MRI does not effectively diagnose ulnar-sided wrist pain in elite tennis players.

J Sci Med Sport 2020 Jun 9;23(6):564-568. Epub 2020 Jan 9.

Melbourne Orthopaedic Group, Monash University, Department of Surgery, Australia.

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http://dx.doi.org/10.1016/j.jsams.2020.01.001DOI Listing
June 2020

Injury epidemiology in Australian male professional soccer.

J Sci Med Sport 2020 Jun 24;23(6):574-579. Epub 2020 Jan 24.

Sport & Exercise Discipline Group, Faculty of Health, University of Technology Sydney (UTS), Australia; Medical Department, Football Federation Australia, Australia.

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http://dx.doi.org/10.1016/j.jsams.2020.01.006DOI Listing
June 2020

Validation of ball spin estimates in tennis from multi-camera tracking data.

J Sports Sci 2020 Feb 29;38(3):296-303. Epub 2019 Nov 29.

Game Insight Group, Tennis Australia, Melbourne, Victoria, Australia.

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http://dx.doi.org/10.1080/02640414.2019.1697189DOI Listing
February 2020

A machine learning approach for automatic detection and classification of changes of direction from player tracking data in professional tennis.

J Sports Sci 2020 Jan 28;38(1):106-113. Epub 2019 Oct 28.

School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Perth, Australia.

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http://dx.doi.org/10.1080/02640414.2019.1684132DOI Listing
January 2020

Comparing subjective and objective evaluations of player performance in Australian Rules football.

PLoS One 2019 14;14(8):e0220901. Epub 2019 Aug 14.

Institute for Health and Sport, Victoria University, Melbourne, Australia.

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220901PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693762PMC
March 2020

Enhancing skill transfer in tennis using representative learning design.

J Sports Sci 2019 Nov 3;37(22):2560-2568. Epub 2019 Aug 3.

Game Insight Group, Tennis Australia , Melbourne , Australia.

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http://dx.doi.org/10.1080/02640414.2019.1647739DOI Listing
November 2019

Multifactorial Benchmarking of Longitudinal Player Performance in the Australian Football League.

Front Psychol 2019 31;10:1283. Epub 2019 May 31.

Institute for Health & Sport, Victoria University, Melbourne, VIC, Australia.

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http://dx.doi.org/10.3389/fpsyg.2019.01283DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6554430PMC
May 2019

A multi-year injury epidemiology analysis of an elite national junior tennis program.

J Sci Med Sport 2019 Jan 19;22(1):11-15. Epub 2018 Jun 19.

Game Insight Group, Tennis Australia, Australia.

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http://dx.doi.org/10.1016/j.jsams.2018.06.006DOI Listing
January 2019

The influence of age-policy changes on the relative age effect across the Australian Rules football talent pathway.

J Sci Med Sport 2018 Oct 21;21(10):1106-1111. Epub 2018 Mar 21.

Institute for Health and Sport (IHES), Victoria University, Australia.

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http://dx.doi.org/10.1016/j.jsams.2018.03.008DOI Listing
October 2018

Improving the reporting of tennis injuries: the use of workload data as the denominator?

Br J Sports Med 2019 Aug 21;53(16):1041-1042. Epub 2018 Feb 21.

Game Insight Group, Tennis Australia, Melbourne, Victoria, Australia.

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http://dx.doi.org/10.1136/bjsports-2017-098625DOI Listing
August 2019

A shot taxonomy in the era of tracking data in professional tennis.

J Sports Sci 2018 Sep 8;36(18):2096-2104. Epub 2018 Feb 8.

a Institute of Sport, Exercise and Active Living , Victoria University , Melbourne , VIC , Australia.

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http://dx.doi.org/10.1080/02640414.2018.1438094DOI Listing
September 2018

Physical characteristics of players within the Australian Football League participation pathways: a systematic review.

Sports Med Open 2017 Dec 19;3(1):46. Epub 2017 Dec 19.

Institute of Sport, Exercise and Active Living (ISEAL), Victoria University, P.O. Box 14428, Melbourne, VIC, 8001, Australia.

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http://dx.doi.org/10.1186/s40798-017-0109-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5736505PMC
December 2017

Comparing Matchplay Characteristics and Physical Demands of Junior and Professional Tennis Athletes in the Era of Big Data.

J Sports Sci Med 2017 Dec 1;16(4):489-497. Epub 2017 Dec 1.

Game Insight Group, Tennis Australia, Richmond South, VIC, Australia.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5721178PMC
December 2017

Heat stress incidence and matchplay characteristics in Women's Grand Slam Tennis.

J Sci Med Sport 2018 Jul 15;21(7):666-670. Epub 2017 Nov 15.

Sport and Exercise Discipline Group, Faculty of Health, University of Technology Sydney, Australia.

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http://dx.doi.org/10.1016/j.jsams.2017.11.006DOI Listing
July 2018

Quantifying Contextual Interference and Its Effect on Skill Transfer in Skilled Youth Tennis Players.

Front Psychol 2017 3;8:1931. Epub 2017 Nov 3.

Institute of Sport, Exercise and Active Living, Victoria University, Footscray, VIC, Australia.

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http://dx.doi.org/10.3389/fpsyg.2017.01931DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676081PMC
November 2017

Heat stress incident prevalence and tennis matchplay performance at the Australian Open.

J Sci Med Sport 2018 May 6;21(5):467-472. Epub 2017 Sep 6.

Sport and Exercise Discipline Group, Faculty of Health, University of Technology Sydney, Australia.

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http://dx.doi.org/10.1016/j.jsams.2017.08.019DOI Listing
May 2018

Injury epidemiology of tennis players at the 2011-2016 Australian Open Grand Slam.

Br J Sports Med 2017 Sep 7;51(17):1289-1294. Epub 2017 Jul 7.

Game Insight Group, Tennis Australia, Melbourne, Victoria, Australia.

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http://dx.doi.org/10.1136/bjsports-2016-097283DOI Listing
September 2017

Getting to the top: an analysis of 25 years of career rankings trajectories for professional women's tennis.

J Sports Sci 2017 Oct 13;35(19):1904-1910. Epub 2016 Oct 13.

c Sport Science and Medicine Unit , Tennis Australia , Richmond South , Australia.

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http://dx.doi.org/10.1080/02640414.2016.1241419DOI Listing
October 2017

Facilitators and Barriers of Drop-In Center Use Among Homeless Youth.

J Adolesc Health 2016 08 27;59(2):144-53. Epub 2016 May 27.

RAND Corporation, Santa Monica, California.

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http://dx.doi.org/10.1016/j.jadohealth.2016.03.035DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958549PMC
August 2016

Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening.

JAMA 2016 Jun;315(21):2300-11

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.

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http://dx.doi.org/10.1001/jama.2016.6255DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4899131PMC
June 2016

Propensity Score Analysis with Survey Weighted Data.

J Causal Inference 2015 09 14;3(2):237-249. Epub 2015 May 14.

Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802372PMC
http://dx.doi.org/10.1515/jci-2014-0039DOI Listing
September 2015

Neighbourhood racial/ethnic composition and segregation and trajectories of cognitive decline among US older adults.

J Epidemiol Community Health 2015 Oct 22;69(10):978-84. Epub 2015 May 22.

RAND Corporation, Santa Monica, California, USA.

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http://dx.doi.org/10.1136/jech-2015-205600DOI Listing
October 2015

Time to smoke first morning cigarette and lung cancer in a case-control study.

J Natl Cancer Inst 2014 Jun 19;106(6):dju118. Epub 2014 Jun 19.

Affiliations of authors: Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD (FG, SW, SK, OAP, CR-G, NDF, SDM, MTL, NEC); Respiratory Epidemiology, Occupational Medicine and Public Health, National Heart & Lung Institute, Imperial College London, London, UK (SDM); Epidemiology Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico and Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy (SDM, DC, PAB); Center for Health Sciences, SRI International, Menlo Park, CA (AWB).

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http://dx.doi.org/10.1093/jnci/dju118DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4072901PMC
June 2014

Targeting of low-dose CT screening according to the risk of lung-cancer death.

N Engl J Med 2013 Jul;369(3):245-254

Divisions of Cancer Epidemiology and Genetics (S.A.K., N.E.C., A.K.C., H.A.K.) and Cancer Prevention (C.D.B.), National Cancer Institute, National Institutes of Health, and Information Management Services (T.L.R., M.K.) - all in Rockville, MD; the Department of Community Health Sciences, Brock University, St. Catharines, ON, Canada (M.T.); and the Division of Pulmonary and Critical Care Medicine, Medical University of South Carolina, Charleston (G.A.S.).

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http://dx.doi.org/10.1056/NEJMoa1301851DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783654PMC
July 2013

Assessing heterogeneity of treatment effect in a clinical trial with the proportional interactions model.

Stat Med 2013 Dec 21;32(28):4906-23. Epub 2013 Jun 21.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, U.S.A.

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http://dx.doi.org/10.1002/sim.5881DOI Listing
December 2013

Population-based absolute risk estimation with survey data.

Lifetime Data Anal 2014 Apr 18;20(2):252-75. Epub 2013 May 18.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892-9702, USA,

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http://dx.doi.org/10.1007/s10985-013-9258-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883938PMC
April 2014

Aggregate-data estimation of an individual patient data linear random effects meta-analysis with a patient covariate-treatment interaction term.

Biostatistics 2013 Apr 21;14(2):273-83. Epub 2012 Sep 21.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd., EPS 8047, Rockville, MD 20892, USA.

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http://dx.doi.org/10.1093/biostatistics/kxs035DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590924PMC
April 2013

Survey finds that most meta-analysts do not attempt to collect individual patient data.

J Clin Epidemiol 2012 Dec 13;65(12):1296-9. Epub 2012 Sep 13.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Blvd., EPS 8047, Rockville, MD 20852, USA.

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http://dx.doi.org/10.1016/j.jclinepi.2012.07.010DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3478473PMC
December 2012

A general binomial regression model to estimate standardized risk differences from binary response data.

Stat Med 2013 Feb 2;32(5):808-21. Epub 2012 Aug 2.

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, U.S.A.

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http://dx.doi.org/10.1002/sim.5553DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3982929PMC
February 2013

Using aggregate data to estimate the standard error of a treatment-covariate interaction in an individual patient data meta-analysis.

Biom J 2012 May;54(3):370-84

Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20852, USA.

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http://dx.doi.org/10.1002/bimj.201100167DOI Listing
May 2012

An association study of disease activity score components and patient satisfaction with overall health for early RA patients on non-biologic DMARD therapy.

Rheumatol Int 2012 Sep 30;32(9):2725-9. Epub 2011 Jul 30.

Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, EPS 8044, Rockville, MD 20892, USA.

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http://dx.doi.org/10.1007/s00296-011-2037-1DOI Listing
September 2012

Mother's CD4+ count moderates the risk associated with higher parity for late postnatal HIV-free survival of breastfed children: an individual patient data meta-analysis of randomized controlled trials.

AIDS Behav 2012 Jan;16(1):79-85

Division of Cancer Epidemiology & Genetics, Biostatistics Branch, National Cancer Institute, Rockville, MD 20852, USA.

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http://dx.doi.org/10.1007/s10461-011-9989-8DOI Listing
January 2012

Particle release from respirators, part II: determination of the effect of tension applied in simulation of removal.

J Occup Environ Hyg 2011 Jan;8(1):10-2

Center for Occupational and Environmental Health, UCLA School of Public Health, Los Angeles, California 90095, USA.

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http://dx.doi.org/10.1080/15459624.2011.535710DOI Listing
January 2011

Statistical methods for a phase II oncology trial with a growth modulation index (GMI) endpoint.

Contemp Clin Trials 2011 Jan 13;32(1):99-107. Epub 2010 Oct 13.

Department of Biostatistics, UCLA School of Public Health Los Angeles, CA 90095-1772, United States.

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http://dx.doi.org/10.1016/j.cct.2010.09.010DOI Listing
January 2011

Validity of adult lifetime self-reported body weight.

Public Health Nutr 2009 Aug 15;12(8):1072-7. Epub 2008 Sep 15.

University of California, Los Angeles, Department of Biostatistics, UCLA School of Public Health Box 951772, Los Angeles, CA 90095-1772, USA.

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http://dx.doi.org/10.1017/S1368980008003728DOI Listing
August 2009