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Estimating causal effects from multiple cycle data in studies of in vitro fertilization

Estimating causal effects from multiple cycle data in studies of in vitro fertilization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_67868908

Estimating causal effects from multiple cycle data in studies of in vitro fertilization

About this item

Full title

Estimating causal effects from multiple cycle data in studies of in vitro fertilization

Publisher

Thousand Oaks, CA: SAGE Publications

Journal title

Statistical methods in medical research, 2006-04, Vol.15 (2), p.195-209

Language

English

Formats

Publication information

Publisher

Thousand Oaks, CA: SAGE Publications

More information

Scope and Contents

Contents

Prospective studies of reproductive outcomes frequently record data at multiple cycles. For example, studies of in vitro fertilization and embryo transfer (IVF-ET) follow women or couples for possibly several IVF cycles and record outcomes such as pregnancy status and embryo implantation. Several time-varying covariates, such as age and diagnostic...

Alternative Titles

Full title

Estimating causal effects from multiple cycle data in studies of in vitro fertilization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_67868908

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_67868908

Other Identifiers

ISSN

0962-2802

E-ISSN

1477-0334

DOI

10.1191/0962280206sm439oa

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