Correcting contraceptive failure rates for sample composition and sample selection bias
Bibliographic Data
| ID | 5958809 |
|---|---|
| Authors | James Trussell (0000-0002-1417-7849, Princeton University, corresponding author), David E Bloom (0000-0003-3731-3345, Princeton University), David Bloom, Anne R Pebley (0000-0002-9210-6421, Carnegie Mellon University), Anne Pebley |
| Year | 1981 |
| Volume | 28 |
| Issue | 3-4 |
| Pages | 293-298 |
| Publication date | 1981-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Biodemography and Social Biology (JOURNAL) |
| Journal identifiers | ISSN: 1948-5565 • E-ISSN: 1948-5573 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/19485565.1981.9988465 |
| PMID | 7349703 |
| OpenAlex | W2016317484 |
| Language | EN |
| Citations received | 3 |
| References cited | 6 |
In this paper we address two questions about life table estimates of the proportion of women experiencing a contraceptive failure within one year of initiation of use: Is the observed proportion affected by the socioeconomic or demographic composition of the sample? Is there evidence, even when socioeconomic or demographic influences are controlled, that the propensity to choose a particular method is correlated with the woman's underlying propensity to fail? We found that the answer to the first question is yes; hence observed method‐specific failure rates are affected by sample composition bias. We present new failure rates that correct the bias. We could, however, find no evidence of sample selection bias
Population · Propensity score matching · Selection bias · Socioeconomic status · Sociology · Statistics · Computer Science · Demography · Gender, Labor, and Family Dynamics · Global Health Care Issues · Healthcare Policy and Management · Mathematics · Medicine
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,07 |
| Citation span | 1984 - 2007 (24) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |