ArticleStatistics in medicine2014
Analysis of in vitro fertilization data with multiple outcomes using discrete time-to-event analysis.
Article in Statistics in medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- Metformin Use Before Assisted Reproductive Technology and Pregnancy Outcomes in Women With Polycystic Ovary Syndrome: A Nationwide Cohort Study.Clinical pharmacology and therapeutics · 2026Article
- Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction.PloS one · 2024Article
- Joint Modeling ofInternational journal of fertility & sterility · 2023Article
- The effects of endocrine-disrupting chemicals on ovarian- and ovulation-related fertility outcomes.Molecular reproduction and development · 2022Review
- Multivariate prediction of mixed, multilevel, sequential outcomes arising from in vitro fertilisation.Diagnostic and prognostic research · 2021Article
- Paternal mixtures of urinary concentrations of phthalate metabolites, bisphenol A and parabens in relation to pregnancy outcomes among couples attending a fertility center.Environment international · 2021Article
- Association betweenObstetrics & gynecology science · 2020Article
- Time-Varying Exposure to Air Pollution and Outcomes of in Vitro Fertilization among Couples from a Fertility Clinic.Environmental health perspectives · 2019Article
- Methodological approaches to analyzing IVF data with multiple cycles.Human reproduction (Oxford, England) · 2019Article
- Modeling In Vitro Fertilization Data Considering Multiple Outcomes Observed among Iranian Infertile Women.International journal of fertility & sterility · 2018Article
- Epidemiologic Approaches for Studying Assisted Reproductive Technologies: Design, Methods, Analysis and Interpretation.Current epidemiology reports · 2017Article
- Discrete survival model analysis of a couple's smoking pattern and outcomes of assisted reproduction.Fertility research and practice · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 2 countries.
Funding
Abstract
In vitro fertilization (IVF) is an increasingly common method of assisted reproductive technology. Because of the careful observation and follow-up required as part of the procedure, IVF studies provide an ideal opportunity to identify and assess clinical and demographic factors along with environmental exposures that may impact successful reproduction. A major challenge in analyzing data from IVF studies is handling the complexity and multiplicity of outcome, resulting from both multiple opportunities for pregnancy loss within a single IVF cycle in addition to multiple IVF cycles. To date, most evaluations of IVF studies do not make use of full data because of its complex structure. In this paper, we develop statistical methodology for analysis of IVF data with multiple cycles and possibly multiple failure types observed for each individual. We develop a general analysis framework based on a generalized linear modeling formulation that allows implementation of various types of models including shared frailty models, failure-specific frailty models, and transitional models, using standard software. We apply our methodology to data from an IVF study conducted at the Brigham and Women's Hospital, Massachusetts. We also summarize the performance of our proposed methods on the basis of a simulation study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.