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Department of Medicine O, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Physiology, Faculty of Health Sciences, Center for Functional and Diagnostic Imaging and Research, Centre of Endocrinology and Metabolism, Herlev University Hospital, Herlev Ringvej 75, Herlev DK‐2730, Denmark
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Department of Medicine O, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Physiology, Faculty of Health Sciences, Center for Functional and Diagnostic Imaging and Research, Centre of Endocrinology and Metabolism, Herlev University Hospital, Herlev Ringvej 75, Herlev DK‐2730, Denmark
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Department of Medicine O, Department of Clinical Physiology and Nuclear Medicine, Department of Clinical Physiology, Faculty of Health Sciences, Center for Functional and Diagnostic Imaging and Research, Centre of Endocrinology and Metabolism, Herlev University Hospital, Herlev Ringvej 75, Herlev DK‐2730, Denmark
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intra- and inter-observer variations. Studies based on cardiac MRI will therefore benefit from higher statistical power, and sample sizes required to detect significant differences are much smaller than studies based on echocardiography. Thus, it has
Frontier Science Research Center, Circulatory and Body Fluid Regulation, AIA Research Group, Department of Internal Medicine, Faculty of Medicine, University of Miyazaki, 5200 Kihara, Kiyotake, Miyazaki 889-1692, Japan
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study. First, a lack of statistical power may need to be taken into account, because we examined a relatively small number of subjects with BW gain data based on the simple questionnaire. For example, differences in the plasma BNP or NT-proBNP levels
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Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
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Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
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Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
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Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
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Diabetes Centre, Departments of Internal Medicine, General Practice, Langerhans Medical Research Group, Department of Internal Medicine, Division of Cell Biology, Faculty of Health Sciences, Isala Clinics, PO Box 10400, 8000 G.K. Zwolle, The Netherlands
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interpretation of the results of this study, it must be acknowledged that the original study was powered to detect differences in hypoglycaemic events between i.p. and s.c. insulin and not in IGF1 or IGFBP1 concentrations. In contrast to the studies carried out
Chronic Disease Epidemiology Laboratory Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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sizes of GDM-exposed children or research conducted among high type 2 diabetes (T2D) risk populations (Pima Indians and Chicago study ( 9 )). The present study included a large sample size of GDM and non-GDM mother–child pairs and had enough power to
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studies are limited in statistical power because of small study samples. Thus, we performed a systemic review and pooled these results using a meta-analytical approach. This study is critical for improving clinical practices regarding early detection and
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. Steroids 1998 63 406 – 413 . ( https://doi.org/10.1016/s0039-128x(9800041-5 ) 19 McGuinness BJ Power MJ Fottrell PF . Radioimmunoassay of 2-hydroxyestrone in urine . Clinical Chemistry 1994 40 80 – 85 . ( https://doi.org/10.1093/clinchem/40
Hôpital de Cayenne, Service d’Endocrinologie et des Maladies Métaboliques, Cayenne, Guyane Française
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Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
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approved by the Paris-Sud Ethics Committee before beginning the study. Statistical methods The distribution of IGF-I values obtained with each assay was skewed and was thus first normalized by means of sex- and age-specific Box-Cox power
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Cancer Signaling and Metabolism Group, Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
Department of Pathology, Medical Faculty of the University of Porto, Porto, Portugal
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of nodes and classification tree size, very large trees with numerous nodes can be associated with overfitting and a lack of explanatory power ( 7 ). This did not prove to be a significant problem in this study as both the number of nodes and tree
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-center retrospective design with a relatively small sample size. Thus, the power and generalizability of our result need to be verified. Second, we only include specific populations with disease duration less than 18 months, which may result in potential selection bias
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Doctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary
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Doctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary
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of smoking breastfeeding mothers. The main limitation of our study is that due to lack of power calculation, a type II error cannot be ruled out during comparisons of small subgroups. Furthermore, the cross-sectional study design prevented causality