Results 21 to 30 of about 842,511 (301)

Prognosis and prognostic research: validating a prognostic model

open access: yesBMJ, 2009
Prognostic models are of little clinical value unless they are shown to work in other samples.
Altman, D   +3 more
openaire   +4 more sources

Does Characterizing Global Running Pattern Help to Prescribe Individualized Strength Training in Recreational Runners?

open access: yesFrontiers in Physiology, 2021
This study aimed to determine if concurrent endurance and strength training that matches the global running pattern would be more effective in increasing running economy (RE) than non-matched training.
Aurélien Patoz   +12 more
doaj   +1 more source

Predicting Temporal Gait Kinematics: Anthropometric Characteristics and Global Running Pattern Matter

open access: yesFrontiers in Physiology, 2021
Equations predicting stride frequency (SF) and duty factor (DF) solely based on running speed have been proposed. However, for a given speed, kinematics vary depending on the global running pattern (GRP), i.e., the overall individual movement while ...
Aurélien Patoz   +7 more
doaj   +1 more source

PIMP Your Stride: Preferred Running Form to Guide Individualized Injury Rehabilitation

open access: yesFrontiers in Rehabilitation Sciences, 2022
Despite the wealth of research on injury prevention and biomechanical risk factors for running related injuries, their incidence remains high. It was suggested that injury prevention and reconditioning strategies should consider spontaneous running forms
Cyrille Gindre   +12 more
doaj   +1 more source

Prognostic research in treated populations

open access: yes, 2018
For both diagnostic and prognostic prediction models to effectively support clinical practice, they must provide accurate, clinically relevant and interpretable predictions. This thesis examines potential sources of variation in the predictive performance of prognostic prediction models when applied in new individuals.
Pajouheshnia, Romin   +5 more
openaire   +3 more sources

Stand Up to Excite the Spine: Neuromuscular, Autonomic, and Cardiometabolic Responses During Motor Imagery in Standing vs. Sitting Posture

open access: yesFrontiers in Physiology, 2021
Motor imagery (MI) for health and performance strategies has gained interest in recent decades. Nevertheless, there are still no studies that have comprehensively investigated the physiological responses during MI, and no one questions the influence of ...
Sidney Grosprêtre   +8 more
doaj   +1 more source

Systematic review of prognostic models in traumatic brain injury. [PDF]

open access: yes, 2006
BACKGROUND: Traumatic brain injury (TBI) is a leading cause of death and disability world-wide. The ability to accurately predict patient outcome after TBI has an important role in clinical practice and research.
Reinhard Wentz   +11 more
core   +1 more source

Non-South East Asians have a better running economy and different anthropometrics and biomechanics than South East Asians

open access: yesScientific Reports, 2022
Running biomechanics and ethnicity can influence running economy (RE), which is a critical factor of running performance. Our aim was to compare RE of South East Asian (SEA) and non-South East Asian (non-SEA) runners at several endurance running speeds ...
Aurélien Patoz   +5 more
doaj   +1 more source

Treatment use in prognostic model research: a systematic review of cardiovascular prognostic studies [PDF]

open access: yesDiagnostic and Prognostic Research, 2017
Ignoring treatments in prognostic model development or validation can affect the accuracy and transportability of models. We aim to quantify the extent to which the effects of treatment have been addressed in existing prognostic model research and provide recommendations for the handling and reporting of treatment use in future studies.We first ...
Romin Pajouheshnia   +4 more
openaire   +4 more sources

Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines [PDF]

open access: yes, 2009
Background: Multiple imputation (MI) provides an effective approach to handle missing covariate data within prognostic modelling studies, as it can properly account for the missing data uncertainty. The multiply imputed datasets are each analysed using
Holder, Roger   +17 more
core   +1 more source

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