Using propensity scores to estimate effects of treatment initiation decisions: State of the science.
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DOI: 10.1002/sim.8866
Abstract: Confounding can cause substantial bias in nonexperimental studies that aim to estimate causal effects. Propensity score methods allow researchers to reduce bias from measured confounding by summarizing the distributions of many measured confounders in a… read more here.
Keywords: estimate effects; scores estimate; treatment; using propensity ... See more keywords
Bootstrap vs asymptotic variance estimation when using propensity score weighting with continuous and binary outcomes
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DOI: 10.1002/sim.9519
Abstract: We used Monte Carlo simulations to compare the performance of asymptotic variance estimators to that of the bootstrap when estimating standard errors of differences in means, risk differences, and relative risks using propensity score weighting.… read more here.
Keywords: asymptotic variance; bootstrap; using propensity; sample sizes ... See more keywords
Comparison between male and female breast cancer survival using propensity score matching analysis
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DOI: 10.1038/s41598-021-91131-4
Abstract: Male breast cancer (MBC) is a rare disease. The few studies on MBC reported conflicting data regarding survival outcomes compared to women. This study has two objectives: to describe the characteristics of a single-cohort of… read more here.
Keywords: analysis; breast cancer; using propensity; mbc ... See more keywords
Evaluation of Complementary and Integrative Health Approaches Among US Veterans with Musculoskeletal Pain Using Propensity Score Methods
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DOI: 10.1093/pm/pny027
Abstract: Objectives To examine the treatment effectiveness of complementary and integrative health approaches (CIH) on chronic pain using Propensity Score (PS) methods. Design, Settings, and Participants A retrospective cohort of 309,277 veterans with chronic musculoskeletal pain… read more here.
Keywords: integrative health; health approaches; pain using; complementary integrative ... See more keywords