His Population and Environmental health and Demography investigations all form part of his Population research activities. His Rotterdam Study research extends to the thematically linked field of Environmental health. Many of his studies on Demography involve topics that are commonly interrelated, such as Population. As part of his studies on Family medicine, J. Dik F. Habbema often connects relevant areas like Sexually transmitted disease. Sexually transmitted disease and Family medicine are frequently intertwined in his study. His study brings together the fields of Condom and Human immunodeficiency virus (HIV). Borrowing concepts from Syphilis, J. Dik F. Habbema weaves in ideas under Condom. His work on Human immunodeficiency virus (HIV) expands to the thematically related Syphilis. J. Dik F. Habbema regularly ties together related areas like Rural area in his Pathology studies.
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Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.
Ewout W Steyerberg;Frank E Harrell;Gerard J.J.M Borsboom;M.J.C Eijkemans.
Journal of Clinical Epidemiology (2001)
Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.
Ewout W Steyerberg;Nino Mushkudiani;Pablo Perel;Isabella Butcher.
PLOS Medicine (2008)
Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa.
Marieke J van der Werf;Sake J de Vlas;Simon Brooker;Caspar W.N Looman.
Acta Tropica (2003)
Prognostic modelling with logistic regression analysis : a comparison of selection and estimation methods in small data sets
Ewout W. Steyerberg;Marinus J.C. Eijkemans;Frank E. Harrell;J. Dik F. Habbema.
Statistics in Medicine (2000)
Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients.
Chantal W P M Hukkelhoven;Ewout W Steyerberg;Anneke J J Rampen;Elana Farace.
Journal of Neurosurgery (2003)
Serum antimüllerian hormone levels best reflect the reproductive decline with age in normal women with proven fertility: A longitudinal study
Ilse A.J. van Rooij;Frank J.M. Broekmans;Gabrielle J. Scheffer;Caspar W.N. Looman.
Fertility and Sterility (2005)
Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets.
Ewout W. Steyerberg;Marinus J. C. Eijkemans;Frank E. Harrell;J. Dik F. Habbema.
Medical Decision Making (2001)
Predictors of poor ovarian response in in vitro fertilization: a prospective study comparing basal markers of ovarian reserve
László F.J.M.M Bancsi;Frank J.M Broekmans;Marinus J.C Eijkemans;Frank H de Jong.
Fertility and Sterility (2002)
Substantial effective sample sizes were required for external validation studies of predictive logistic regression models
Yvonne Vergouwe;Ewout W. Steyerberg;Marinus J.C. Eijkemans;J. Dik F. Habbema.
Journal of Clinical Epidemiology (2005)
Obesity affects spontaneous pregnancy chances in subfertile, ovulatory women
Jan Willem van der Steeg;Jan Willem van der Steeg;Jan Willem van der Steeg;Pieternel Steures;Pieternel Steures;Pieternel Steures;Marinus J.C. Eijkemans;J. Dik F. Habbema.
Human Reproduction (2007)
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