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International Journal of Sports Medicine|July 1, 1997
Different statistical models to analyze epidemiological observational longitudinal data: an example from the Amsterdam Growth and Health StudyJ W Twisk
Sports Medicine (Auckland, N.Z.)|July 28, 2001
Physical activity guidelines for children and adolescents: a critical reviewJ W Twisk
Nederlands Tijdschrift Voor Geneeskunde|September 12, 2000
[Roaming through methodology. XXII. Application of techniques for longitudinal data analysis]J W Twisk, W de Vente
Medicine and Science in Sports and Exercise|August 19, 2000
Tracking of activity and fitness and the relationship with cardiovascular disease risk factorsJ W Twisk, H C Kemper, W van Mechelen
International Journal of Epidemiology|February 1, 1995
Longitudinal development of lipoprotein levels in males and females aged 12-28 years: the Amsterdam Growth and Health StudyJ W Twisk, H C Kemper, G J Mellenbergh
International Journal of Sport Nutrition|September 1, 1997
Rate of maturation during the teenage years: nutrient intake and physical activity between ages 12 and 22H C Kemper, G B Post, J W Twisk
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|July 5, 2003
Comparison of the haemodynamic effects of right ventricular outflow-tract pacing with right ventricular apex pacing: a quantitative reviewC C de Cock, M C Giudici, J W Twisk
Psychosomatic Medicine|June 13, 1998
Relation between the longitudinal development of personality characteristics and biological and lifestyle risk factors for coronary heart diseaseJ W Twisk, J Snel, H C Kemper, et al.
Journal of Psychosomatic Research|April 8, 1999
Changes in daily hassles and life events and the relationship with coronary heart disease risk factors: a 2-year longitudinal study in 27-29-year-old males and femalesJ W Twisk, J Snel, H C Kemper, et al.
Journal of Cardiovascular Risk|December 29, 1998
Which lifestyle parameters discriminate high- from low-risk participants for coronary heart disease risk factors. Longitudinal analysis covering adolescence and young adulthoodJ W Twisk, H C Kemper, W van Mechelen, et al.
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