Open AccessChoice of statistical model in observational studies of ART
Author(s) -
Laura E. Dodge,
Leslie V. Farland,
Katharine F. Correia,
Stacey A. Missmer,
Emily A. Seidler,
Jack Wilkinson,
Anna M. Modest,
Michele R. Hacker
Publication year - 2020
Publication title -
human reproduction
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.446
H-Index - 226
eISSN - 1460-2350
pISSN - 0268-1161
DOI - 10.1093/humrep/deaa050
Subject(s) - observational study , outcome (game theory) , statistical model , statistical analysis , key (lock) , computer science , data science , management science , statistics , artificial intelligence , mathematics , engineering , mathematical economics , computer security
Analyzing data on ART presents unique and sometimes complicated challenges related to choosing the unit(s) of analysis and the statistical model. In this commentary, we provide examples of how these challenges arise and guidance for overcoming them. We discuss the implications of different ways to count treatment cycles, considering the perspectives of research questions, data management and analysis and patient counseling. We present the advantages and disadvantages of different statistical models, and finally, we discuss the definition and calculation of the cumulative incidence of live birth, which is a key outcome of research on ART.
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