Polycystic ovary syndrome (PCOS) is a common reproductive disorder associated with
many characteristic features, including hyperandrogenaemia, insulin resistance and obesity …

BACKGROUND Although ovarian reserve tests (ORTs) are frequently used prior to IVF treatment
for outcome prediction, their added predictive value is unclear. We assessed the added …

BACKGROUND Thin endometrium on ultrasound in the course of ovarian hyperstimulation
has been thought to be associated with poor success rates after IVF, even in the absence of …

The performance of a predictive model is overestimated when simply determined on the sample
of subjects that was used to construct the model. Several internal validation methods are …

Logistic regression analysis may well be used to develop a prognostic model for a
dichotomous outcome. Especially when limited data are available, it is difficult to determine an …

Background Although an association of occurrence of menopause and subsequent oestrogen
deficiency with increased cardiovascular disease has been postulated, studies on this …

BACKGROUND AND OBJECTIVES: The performance of a prediction model is usually worse
in external validation data compared to the development data. We aimed to determine at …

BACKGROUND Obesity is increasing rapidly among women all over the world. Obesity is a
known risk factor for subfertility due to anovulation, but it is unknown whether obesity also …

Objective: To identify and quantify predictors of poor ovarian response in in vitro fertilization (IVF).
Design: Prospective study. Setting: Tertiary fertility center. Patient(s): One hundred …

A logistic regression model may be used to provide predictions of outcome for individual
patients at another centre than where the model was developed. When empirical data are …