Search Results

You are looking at 61 - 70 of 74 items for :

  • "imputation" x
  • Psychology and Behavior in Sport/Exercise x
Clear All
Open access

Salomé Aubert, Joel D. Barnes, Chalchisa Abdeta, Patrick Abi Nader, Ade F. Adeniyi, Nicolas Aguilar-Farias, Dolores S. Andrade Tenesaca, Jasmin Bhawra, Javier Brazo-Sayavera, Greet Cardon, Chen-Kang Chang, Christine Delisle Nyström, Yolanda Demetriou, Catherine E. Draper, Lowri Edwards, Arunas Emeljanovas, Aleš Gába, Karla I. Galaviz, Silvia A. González, Marianella Herrera-Cuenca, Wendy Y. Huang, Izzeldin A.E. Ibrahim, Jaak Jürimäe, Katariina Kämppi, Tarun R. Katapally, Piyawat Katewongsa, Peter T. Katzmarzyk, Asaduzzaman Khan, Agata Korcz, Yeon Soo Kim, Estelle Lambert, Eun-Young Lee, Marie Löf, Tom Loney, Juan López-Taylor, Yang Liu, Daga Makaza, Taru Manyanga, Bilyana Mileva, Shawnda A. Morrison, Jorge Mota, Vida K. Nyawornota, Reginald Ocansey, John J. Reilly, Blanca Roman-Viñas, Diego Augusto Santos Silva, Pairoj Saonuam, John Scriven, Jan Seghers, Natasha Schranz, Thomas Skovgaard, Melody Smith, Martyn Standage, Gregor Starc, Gareth Stratton, Narayan Subedi, Tim Takken, Tuija Tammelin, Chiaki Tanaka, David Thivel, Dawn Tladi, Richard Tyler, Riaz Uddin, Alun Williams, Stephen H.S. Wong, Ching-Lin Wu, Paweł Zembura and Mark S. Tremblay

properties . Bioinformatics . 2017 ; 33 ( 18 ): 2938 – 2940 . PubMed ID: 28645171 doi:10.1093/bioinformatics/btx364 10.1093/bioinformatics/btx364 33. Kowarik A , Templ M . Imputation with the R Package VIM . J Stat Softw . 2016 ; 74 ( 7 ): 1 – 16 . doi:10.18637/jss.v074.i07 10.18637/jss.v074.i07 34

Restricted access

Sharon Hetherington, Paul Swinton, Tim Henwood, Justin Keogh, Paul Gardiner, Anthony Tuckett, Kevin Rouse and Tracy Comans

, whereas intention-to-treat analyses incorporated multiple imputation ( m  = 10) using the “mice” package ( Buuren & Groothuis-Oudshoorn, 2011 ) in the R programming language to replace missing data. Imputation models included age, sex, health care resource utilization, Geriatric Anxiety Index ( Pachana et

Restricted access

Jay Johnson, Michelle D. Guerrero, Margery Holman, Jessica W. Chin and Mary Anne Signer-Kroeker

imputation procedures using the fully conditioned specification approach. A total of five imputed data sets were generated, with each data set comprising slightly different imputed values. The parameter estimates of the five imputations were pooled and yielded a single set of estimates. Given that little is

Full access

Philippa M. Dall, Dawn A. Skelton, Manon L. Dontje, Elaine H. Coulter, Sally Stewart, Simon R. Cox, Richard J. Shaw, Iva Čukić, Claire F. Fitzsimons, Carolyn A. Greig, Malcolm H. Granat, Geoff Der, Ian J. Deary, Sebastien F.M. Chastin and On behalf of the Seniors USP Team

days were analyzed and therefore no data imputation was conducted. Attachment of the monitor with single-use attachment materials and removal of the monitor by a researcher allowed a high level of certainty of continuous monitor wear. Although it was possible that a monitor that was still worn on

Restricted access

Samantha F. Ehrlich, Amanda J. Casteel, Scott E. Crouter, Paul R. Hibbing, Monique M. Hedderson, Susan D. Brown, Maren Galarce, Dawn P. Coe, David R. Bassett and Assiamira Ferrara

start (calendar date) of the assessment period ( Keadle et al., 2014 ). Diaries also allow participants to report what they were doing during periods of non-wear, which can provide contextual information, which may potentially allow for imputation (i.e., of MET values for activities they reportedly

Open access

Jillian J. Haszard, Kim Meredith-Jones, Victoria Farmer, Sheila Williams, Barbara Galland and Rachael Taylor

this method of reallocation of non-wear time is both sensible and simple, it illustrates the influence of non-wear time on results. However, this method is still an imputation of missing data, which will not always reflect the true time-use patterns of the participant. Therefore, it should be a

Restricted access

J.D. DeFreese, Travis E. Dorsch and Travis A. Flitton

Cronbach’s α values) were calculated for all study variables. Missing data from participants completing the entire survey were replaced for focal variables with values calculated via mean imputation ( Tabachnick & Fidell, 2013 ). Confirmatory factor analyses were conducted for the adapted measures of sport

Restricted access

Shelby Waldron, J.D. DeFreese, Brian Pietrosimone, Johna Register-Mihalik and Nikki Barczak

were missing for 12 variables, however, missing cases did not exceed 5% for any one variable so mean imputation was utilized. Data were collected from 249 participants, however, six cases were removed from analysis due to conflicting responses on specialization grouping variables ( n  = 5) and

Restricted access

Eric MacIntosh, Keita Kinoshita and Popi Sotiriadou

imputation: A primer . Statistical Methods in Medical Research, 8 ( 1 ), 3 – 15 . PubMed ID: 10347857 doi:10.1177/096228029900800102 10.1177/096228029900800102 Simpson , N.S. , Gibbs , E.L. , & Matheson , G.O. ( 2017 ). Optimizing sleep to maximize performance: Implications and recommendations for