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Vittorio Addona

Showing results (1-10 of 12) with videos related to

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Lifetime Data Analysis|August 19, 2006
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-upVittorio Addona, David B Wolfson
Journal of Sports Sciences|January 11, 2014
A behavioural dynamic model of the relative age effectKawika Pierson, Vittorio Addona, Philip Yates
The International Journal of Biostatistics|August 2, 2012
Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-upVittorio Addona, Juli Atherton, David B Wolfson
Frontiers in Psychology|March 16, 2019
Risk Taking Runners Slow More in the MarathonRobert O Deaner, Vittorio Addona, Brian Hanley
Evolutionary Psychology : an International Journal of Evolutionary Approaches to Psychology and Behavior|October 10, 2014
U.S. masters track participation reveals a stable sex difference in competitivenessRobert O Deaner, Vittorio Addona, Michael P Mead
The International Journal of Biostatistics|October 25, 2020
Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-upJames McVittie, David Wolfson, David Stephens, et al.
BMC Medical Research Methodology|January 8, 2022
Stacked survival models for residual lifetime dataJames H McVittie, David B Wolfson, Vittorio Addona, et al.
Sensors (Basel, Switzerland)|September 9, 2017
Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer DataBryan D Martin, Vittorio Addona, Julian Wolfson, et al.
Statistical Methods in Medical Research|October 9, 2018
Benefits of combining prevalent and incident cohorts: An application to myotonic dystrophyDavid B Wolfson, Ana F Best, Vittorio Addona, et al.
Peerj|August 23, 2016
Fast men slow more than fast women in a 10 kilometer road raceRobert O Deaner, Vittorio Addona, Rickey E Carter, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Lifetime Data Analysis|August 19, 2006
A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-upVittorio Addona, David B Wolfson
Journal of Sports Sciences|January 11, 2014
A behavioural dynamic model of the relative age effectKawika Pierson, Vittorio Addona, Philip Yates
The International Journal of Biostatistics|August 2, 2012
Testing the assumptions for the analysis of survival data arising from a prevalent cohort study with follow-upVittorio Addona, Juli Atherton, David B Wolfson
Frontiers in Psychology|March 16, 2019
Risk Taking Runners Slow More in the MarathonRobert O Deaner, Vittorio Addona, Brian Hanley
Evolutionary Psychology : an International Journal of Evolutionary Approaches to Psychology and Behavior|October 10, 2014
U.S. masters track participation reveals a stable sex difference in competitivenessRobert O Deaner, Vittorio Addona, Michael P Mead
The International Journal of Biostatistics|October 25, 2020
Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-upJames McVittie, David Wolfson, David Stephens, et al.
BMC Medical Research Methodology|January 8, 2022
Stacked survival models for residual lifetime dataJames H McVittie, David B Wolfson, Vittorio Addona, et al.
Sensors (Basel, Switzerland)|September 9, 2017
Methods for Real-Time Prediction of the Mode of Travel Using Smartphone-Based GPS and Accelerometer DataBryan D Martin, Vittorio Addona, Julian Wolfson, et al.
Statistical Methods in Medical Research|October 9, 2018
Benefits of combining prevalent and incident cohorts: An application to myotonic dystrophyDavid B Wolfson, Ana F Best, Vittorio Addona, et al.
Peerj|August 23, 2016
Fast men slow more than fast women in a 10 kilometer road raceRobert O Deaner, Vittorio Addona, Rickey E Carter, et al.
Pageof 2