The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Adjusted Kaplan–Meier estimator and log‐rank test with inverse probability of treatment weighting for survival data
Abstract
Estimation and group comparison of survival curves are two very common issues in survival analysis. In practice, the Kaplan–Meier estimates of survival functions may be biased due to unbalanced distribution of confounders. Here we develop an adjusted Kaplan–Meier estimator (AKME) to reduce confounding effects using inverse probability of treatment weighting (IPTW). Each observation is weighted by its inverse probability of being in a certain group. The AKME is shown to be a consistent estimate of the survival function, and the variance of the AKME is derived. A weighted log‐rank test is proposed for comparing group differences of survival functions. Simulation studies are used to illustrate the performance of AKME and the weighted log‐rank test. The method proposed here outperforms the Kaplan–Meier estimate, and it does better than or as well as other estimators based on stratification. The AKME and the weighted log‐rank test are applied to two real examples: one is the study of times to reinfection of sexually transmitted diseases, and the other is the primary biliary cirrhosis (PBC) study. Copyright © 2005 John Wiley & Sons, Ltd.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Nonparametric Estimation from Incomplete Observations
Kaplan, E. L., & Meier, P. (1958) · Journal of the American Statistical Association · doi:10.1080/01621459.1958.10501452 · Cited by 39,158
Modeling Survival Data: Extending the Cox Model
Therneau, T. M., & Grambsch, P. M. (2000) · Statistics for Biology and Health · doi:10.1007/978-1-4757-3294-8 · Cited by 8,674
Asymptotically Efficient Rank Invariant Test Procedures
Peto, R., & Peto, J. (1972) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344317 · Cited by 3,393
Cited by
Austin, P. C. (2014) · Statistics in Medicine · doi:10.1002/sim.5984 · Cited by 1,422
The performance of different propensity score methods for estimating marginal hazard ratios
Austin, P. C. (2013) · Statistics in Medicine · doi:10.1002/sim.5705 · Cited by 1,006
Survival after Minimally Invasive Radical Hysterectomy for Early-Stage Cervical Cancer
Melamed, A., Margul, D. J., Chen, L., Keating, N. L., del Carmen, M. G., Yang, J., Seagle, B.-L. L., Alexander, A., Barber, E. L., Rice, L. W., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1804923 · Cited by 709
HIV-1 antibody 3BNC117 suppresses viral rebound in humans during treatment interruption
Scheid, J. F., Horwitz, J. A., Bar-On, Y., Kreider, E. F., Lu, C.-L., Lorenzi, J. C. C., Feldmann, A., Braunschweig, M., Nogueira, L., Oliveira, T., et al. (2016) · Nature · doi:10.1038/nature18929 · Cited by 472
Tirzepatide cardiovascular event risk assessment: A pre-specified meta-analysis
Sattar, N., McGuire, D. K., Pavo, I., Weerakkody, G. J., Nishiyama, H., Wiese, R. J., & Zoungas, S. (2022) · Nature Medicine · doi:10.1038/s41591-022-01707-4 · Cited by 346
Metadata
- Authors
- Xie, J., & Liu, C.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2005-09-27
- Volume
- 24
- Issue
- 20
- Pages
- 3089-3110
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2148195102
- Cited by
- 510
- References
- 4
- FWCI
- 1.25
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
