Journal article
Sequence of events following adoption of contraception: An exploratory analysis of 1973 fertility history data
Social biology, v 28(1-2), pp 111-125
01 Mar 1981
PMID: 7348440
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Fertility histories from the 1973 United States National Survey of Family Growth are analyzed in the context of a model of contraceptive use based on a Semi-Markov processes. This model provides a means of constructing data-based estimates of probabilities of pregnancy following initial acceptance of a contraceptive method. The algorithm used to construct these estimates recognizes multiple intervals of contraceptive used prior to the events: pregnancy, marital dissolution, or sterilization.
Estimated probabilities of the events marital dissolution and pregnancy for women seeking to delay pregnancy are presented, as are probabilities of contraceptive sterilization for women seeking to prevent subsequent pregnancy. These estimates are compared to one-step transition probabilities and directly observed NSFG data on pregnancy, marital dissolution, or contraceptive sterilization in an attempt to judge the validity of the model and to assess biases which may result from its use.
Metrics
Details
- Title
- Sequence of events following adoption of contraception: An exploratory analysis of 1973 fertility history data
- Creators
- Gary Pickens - Drexel UniversityCharles J. Mode - University of Pennsylvania
- Publication Details
- Social biology, v 28(1-2), pp 111-125
- Publisher
- Taylor & Francis Group
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1981PH76000011
- Scopus ID
- 2-s2.0-0019737454
- Other Identifier
- 991019183973604721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Demography
- Social Sciences, Biomedical
- Sociology