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Dataset Information

External validation and calibration of IVFpredict: a national prospective cohort study of 130,960 in vitro fertilisation cycles.


ABSTRACT:

Background

Accurately predicting the probability of a live birth after in vitro fertilisation (IVF) is important for patients, healthcare providers and policy makers. Two prediction models (Templeton and IVFpredict) have been previously developed from UK data and are widely used internationally. The more recent of these, IVFpredict, was shown to have greater predictive power in the development dataset. The aim of this study was external validation of the two models and comparison of their predictive ability.

Methods and findings

130,960 IVF cycles undertaken in the UK in 2008-2010 were used to validate and compare the Templeton and IVFpredict models. Discriminatory power was calculated using the area under the receiver-operator curve and calibration assessed using a calibrat

SUBMITTER: Smith AD 

PROVIDER: S-EPMC4390202 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature