Classical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study... Show moreClassical statistical methods, such as p-values, are difficult for researchers to apply correctly. They for example do not allow drawing conclusions from a study early, or for extending a study with extra research groups that want to make their data available later. Sadly, in practice this often leads to faulty application of statistics and subsequent invalidity of experiment conclusions.Partly because of the above, recently, interest in safe, anytime-valid inference (SAVI) with e-values has emerged. This framework offers the same functionality as classical statistics, but also provides researchers with plenty of flexibility, for example through enabling early stopping and effect estimation at any time, extending a study in hindsight, and analyzing data located across multiple hospitals. In this thesis, this theory is further developed for performing SAVI in scenarios applicable to healthcare, specifically for several use-cases in psychiatry. It is explored how one could set up real-time psychiatry research in practice in an automated manner, combining text mining with network analysis techniques for data preparation and exploration and then confirming hypotheses with SAVI. Through this, the work in this thesis contributes to an environment where continuous learning from routinely collected healthcare data for better personalized recommendations is the new standard. Show less
Preeclampsia is a syndrome of pregnancy characterised by hypertension and proteinuria and occurs in up to 5 percent of pregnant women. The pathophysiology of preeclampsia has not been fully... Show morePreeclampsia is a syndrome of pregnancy characterised by hypertension and proteinuria and occurs in up to 5 percent of pregnant women. The pathophysiology of preeclampsia has not been fully elucidated yet. The endothelium is known to play a key role in the pathogenesis and levels of vascular endothelial growth factor are decreased due to an angiogenic imbalance. In the first part of this thesis, genes associated with preeclampsia were investigated through meta-analysis; genes within the coagulation and immunology domains remained significantly associated with preeclampsia after meta-analysis. In the second and third part of this thesis, the possible role of a key regulator of coagulation and immunology on the endothelium, thrombomodulin, in preeclampsia was investigated in the placenta and the kidney. Diminished placental thrombomodulin expression was associated with the angiogenic imbalance of preeclampsia. Next, in the fourth part of this thesis the interplay between podocytes and endothelial cells in the glomerulus during the anti-angiogenic conditions in preeclampsia was reviewed. In the final part of this thesis the splicing pattern of vascular endothelial growth factor was investigated throughout different examples of glomerular disease. Show less
