Comparison of induction of labour and expectant management in postterm pregnancy: a matched cohort study

Marieke A A Hermus1, Corine J M Verhoeven1, Ben W Mol1

  • 1Marieke A. A. Hermus, CM, MSc, is a certified midwife at Midwifery Practice Trivia, Oosterhout, The Netherlands.Corine J. M. Verhoeven, CM, MSc, is a certified midwife at the Department of Obstetrics & Gynaecology, Maxima Medical Centre, Veldhoven, The Netherlands.Ben W. Mol, MD, PhD, is Professor of Obstetrics and Gynaecology and of Clinical Epidemiology at the Department of Obstetrics & Gynaecology, Academic Medical Centre, Amsterdam, The Netherlands.Gideon S. de Wolf, MSc, is from the Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Centre, Amsterdam, The Netherlands.Cora A. Fiedeldeij, MD, is a gynaecologist at the Department of Obstetrics & Gynaecology, St. Elisabeth Hospital, Tilburg, The Netherlands.

Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...