Interval estimation of congenital anomaly risk in twins

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00506822" target="_blank" >RIV/67985807:_____/19:00506822 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Interval estimation of congenital anomaly risk in twins

Popis výsledku v původním jazyce

IN: 40th Annual Conference of the International Society for Clinical Biostatistics. Book of abstracts. Leuven: ISCB, 2019. s. 364-365. ISBN 978-94-6165-287-4. [Annual Conference of the International Society for Clinical Biostatistics /40./. 14.07.2019-18.07.2019, Leuven]. ABSTRACT: In a medical research project, we analyze data of several Czech national health registries in order to assess prevalence of different kinds of congenital anomalies (birth defects). The risk of birth defect in twins is known to differ from that in the children from single pregnancies, and dependence between the twins should be considered, especially in the field of testing and interval estimation. Objectives: Under the assumptions of equal birth defect risk for all children born as twins, and equal phi coefficient (as a measure of dependence) for all twin pairs, we have derived and programmed interval estimates of the risk from twin data. The confidence interval types dealt with are asymptotic Wald (normal approximation), and exact Clopper-Pearson (twice the smaller tail), and Blaker (combined tails). Two different situations are studied: Either the information which pairs of twins belong together is available, or not (which is the case in our project). In the former situation, the phi coefficient may be estimated, while in the latter one we only have to rely on external estimates, or the conclusions drawn must be conditional on the phi value. Methods: While the Wald type confidence bounds are given as closed-form expressions, the exact confidence intervals are calculated numerically. One of the key steps of the numerical procedure is the calculation of the probability mass function of the number of events by a numerical inversion of the characteristic function

Název v anglickém jazyce

Interval estimation of congenital anomaly risk in twins

Popis výsledku anglicky

IN: 40th Annual Conference of the International Society for Clinical Biostatistics. Book of abstracts. Leuven: ISCB, 2019. s. 364-365. ISBN 978-94-6165-287-4. [Annual Conference of the International Society for Clinical Biostatistics /40./. 14.07.2019-18.07.2019, Leuven]. ABSTRACT: In a medical research project, we analyze data of several Czech national health registries in order to assess prevalence of different kinds of congenital anomalies (birth defects). The risk of birth defect in twins is known to differ from that in the children from single pregnancies, and dependence between the twins should be considered, especially in the field of testing and interval estimation. Objectives: Under the assumptions of equal birth defect risk for all children born as twins, and equal phi coefficient (as a measure of dependence) for all twin pairs, we have derived and programmed interval estimates of the risk from twin data. The confidence interval types dealt with are asymptotic Wald (normal approximation), and exact Clopper-Pearson (twice the smaller tail), and Blaker (combined tails). Two different situations are studied: Either the information which pairs of twins belong together is available, or not (which is the case in our project). In the former situation, the phi coefficient may be estimated, while in the latter one we only have to rely on external estimates, or the conclusions drawn must be conditional on the phi value. Methods: While the Wald type confidence bounds are given as closed-form expressions, the exact confidence intervals are calculated numerically. One of the key steps of the numerical procedure is the calculation of the probability mass function of the number of events by a numerical inversion of the characteristic function

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

<a href="/cs/project/NV17-29622A" target="_blank" >NV17-29622A: Analýza efektivity prenatální diagnostiky vrozených vad a přežívání dětí narozených s vrozenou vadou v České republice v období 1994 – 2015</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů