Results 11 to 20 of about 131,451 (287)

Comparison of Placebos and Propensity Score Adjustment in Multiple Sclerosis Nonrandomized Studies. [PDF]

JAMA Neurol, 2020
This comparative effectiveness research study examines propensity scores adjustment in multiple sclerosis studies comparing disease-modifying treatments.
Signori A, Pellegrini F, Bovis F, Carmisciano L, de Moor C, Sormani MP.   +5 more
europepmc   +5 more sources

MRI lesions in SpA: a comparison with noninflammatory back pain using propensity score adjustment method [PDF]

Therapeutic Advances in Musculoskeletal Disease, 2022
Background: Magnetic resonance imaging (MRI) is important in the management of axial spondyloarthritis (SpA). However, many MRI lesions are not exclusive to axial SpA.
Ho Yin Chung, Jin Xian Huang, Kam Ho Lee, Helen Hoi Lun Tsang, Chak Sing Lau, Shirley Chiu Wai Chan   +5 more
doaj   +2 more sources

Multiple comparisons for survival data with propensity score adjustment. [PDF]

Comput Stat Data Anal, 2015
This article considers the practical problem in clinical and observational studies where multiple treatment or prognostic groups are compared and the observed survival data are subject to right censoring. Two possible formulations of multiple comparisons are suggested.
Zhu H, Lu B.
europepmc   +4 more sources

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys. [PDF]

PLoS ONE, 2020
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose ...
Ramón Ferri-García, María Del Mar Rueda   +1 more
doaj   +2 more sources

Inference from Non-Probability Surveys with Statistical Matching and Propensity Score Adjustment Using Modern Prediction Techniques

Mathematics, 2020
Online surveys are increasingly common in social and health studies, as they provide fast and inexpensive results in comparison to traditional ones. However, these surveys often work with biased samples, as the data collection is often non-probabilistic ...
Luis Castro-Martín, Maria del Mar Rueda, Ramón Ferri-García   +2 more
doaj   +3 more sources

The impact of lockdown on child adjustment: a propensity score matched analysis

BMC Psychology
The COVID-19 pandemic has had an inestimable impact worldwide, challenging the daily lives and interactions of children and their families. In 2022, Shanghai implemented a three-month lockdown in response to an acceleration of positive cases during the ...
Wanjuan Weng, Mowei Liu, Shumin Wang, Xiaoyun Li, Jinghui Zhang, Yuke Fu, Chuanmei Dong, Yan Li   +7 more
doaj   +3 more sources

Comparison of Propensity Score Methods and Covariate Adjustment

Journal of the American College of Cardiology, 2017
Markus C. Elze, John Gregson, Usman Baber, Elizabeth Williamson, Samantha Sartori, Roxana Mehran, Melissa Nichols, Gregg W. Stone, Stuart J. Pocock   +8 more
openaire   +3 more sources

The Association Between Congestive Heart Failure and One-Year Mortality After Surgery in Singaporean Adults: A Secondary Retrospective Cohort Study Using Propensity-Score Matching, Propensity Adjustment, and Propensity-Based Weighting

Frontiers in Cardiovascular Medicine, 2022
BackgroundAlthough congestive heart failure (CHF) is considered a risk factor for postoperative mortality, reliable quantification of the relationship between CHF and postoperative mortality risk is limited.
Yong Han, Haofei Hu, Yufei Liu, Qiming Li, Zhiqiang Huang, Zhibin Wang, Dehong Liu, Longning Wei   +7 more
doaj   +1 more source

The impact of moderator by confounder interactions in the assessment of treatment effect modification: a simulation study

BMC Medical Research Methodology, 2022
Background When performed in an observational setting, treatment effect modification analyses should account for all confounding, where possible. Often, such studies only consider confounding between the exposure and outcome.
Antonia Mary Marsden, William G. Dixon, Graham Dunn, Richard Emsley   +3 more
doaj   +1 more source

Comparison of Propensity Score Weighting Methods to Remove Selection Bias in Average Treatment Effect Estimates

International Journal of Turkish Education Sciences, 2023
In this Monte Carlo simulation study, the performance of six different propensity score methods implemented through weighting cases was investigated: inverse probability of treatment weighting, truncated inverse probability of treatment weighting ...
Sungur Gürel, Walter Lana Leite
doaj   +1 more source