Related references
Note: Only part of the references are listed.Identification and validation of uterine perforation, intrauterine device expulsion, and breastfeeding in four health care systems with electronic health records
Mary S. Anthony et al.
CLINICAL EPIDEMIOLOGY (2019)
Balancing Covariates via Propensity Score Weighting
Fan Li et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2018)
Perforation risk and intra-uterine devices: results of the EURAS-IUD 5-year extension study
Clare Barnett et al.
EUROPEAN JOURNAL OF CONTRACEPTION AND REPRODUCTIVE HEALTH CARE (2017)
Uterine perforation by intrauterine devices: a 16-year review
Paul A. O'Brien et al.
JOURNAL OF FAMILY PLANNING AND REPRODUCTIVE HEALTH CARE (2017)
Risk of uterine perforation with levonorgestrel-releasing and copper intrauterine devices in the European Active Surveillance Study on Intrauterine Devices
Klaas Heinemann et al.
CONTRACEPTION (2015)
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
Peter C. Austin et al.
STATISTICS IN MEDICINE (2015)
Estimation using all available covariate information versus a fixed look-back window for dichotomous covariates
Steven M. Brunelli et al.
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY (2013)
An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies
Peter C. Austin
MULTIVARIATE BEHAVIORAL RESEARCH (2011)
Share Paper
