Results 151 to 160 of about 109,995 (172)
Some of the next articles are maybe not open access.

Risk of Tuberculosis after Antiretroviral Treatment Initiation: A Comparison between Efavirenz and Nevirapine Using Inverse Probability Weighting

Antiviral Therapy, 2013
Background There is a high incidence of tuberculosis (TB) early after antiretroviral therapy (ART) initiation. This historical cohort study evaluated the association of efavirenz (EFV) compared to nevirapine (NVP) with post-ART TB among patients initiated on first-line ART from 2005 to 2009 in a large, urban HIV clinic in Uganda. Methods Hazard ratios (
Hermans, Sabine M.   +5 more
openaire   +2 more sources

Application of Inverse Probability Weighting to Clinical Trials of Treatments for Opioid Use Disorder

2021
Opioid use disorder (OUD) is a chronic condition that affects three million people in the United States and 16 million people worldwide. Randomized controlled trials (RCTs) are the gold standard for OUD, but there are multiple methodological complexities present in the analysis of randomized controlled OUD trials.
openaire   +1 more source

Exploring large weight deletion and the ability to balance confounders when using inverse probability of treatment weighting in the presence of rare treatment decisions

Pharmacoepidemiology and Drug Safety, 2012
ABSTRACTPurposeWhen medications are modified in response to changing clinical conditions, confounding by indication arises that cannot be controlled using traditional adjustment. Inverse probability of treatment weights (IPTWs) can address this confounding given assumptions of no unmeasured confounders and that all patients have a positive probability ...
Ryan D, Kilpatrick   +5 more
openaire   +2 more sources

Survival analysis using inverse probability of treatment weighted methods based on the generalized propensity score

Pharmaceutical Statistics, 2009
AbstractIn survival analysis, treatment effects are commonly evaluated based on survival curves and hazard ratios as causal treatment effects. In observational studies, these estimates may be biased due to confounding factors. The inverse probability of treatment weighted (IPTW) method based on the propensity score is one of the approaches utilized to ...
openaire   +2 more sources

Early mobilisation after hip fracture surgery reduces the risk of infection: an inverse probability of treatment weighted analysis

Age and Ageing
Abstract Background Mobilisation within the first day following hip fracture surgery is recommended. However, an in-depth analysis of the association between early mobilisation and the risk of infection is lacking.
Thomas Johannesson Hjelholt   +3 more
openaire   +4 more sources

Outcomes after open and endovascular treatment for mesenteric artery embolism patients: a retrospective inverse probability of treatment-weighted analysis

European Journal of Trauma and Emergency Surgery
This study aims to evaluate outcomes in patients with mesenteric artery embolism (MAE) who received primary endovascular therapy (EVT) or laparotomy, and investigate risk factors for 30-day mortality.A retrospective analysis of 94 MAE patients who underwent two different treatment strategies was undertaken. An inverse probability of treatment weighting
Yi-Hui, Qiu   +7 more
openaire   +2 more sources

Research on Stock Market Prediction based on Inverse Probability of Treatment Weighting Method

Science and Technology of Engineering, Chemistry and Environmental Protection
Although randomized controlled trials (RCTs) are considered the best method to evaluate the impact of interventions, their application in the financial industry is not feasible due to ethical and practical issues. Propensity Score Matching (PSM) minimizes the problem of bias in observational studies.
openaire   +1 more source

Reappraisal of Multidisciplinary Treatment Approach for Resectable Colorectal Liver Metastases: Inverse Probability of Treatment Weighted Analysis

HPB, 2022
Y. Yoshizaki   +9 more
openaire   +1 more source

Robust Inference Using Inverse Probability Weighting

Journal of the American Statistical Association, 2020
Xinwei Ma, Jingshen Wang
exaly  

Home - About - Disclaimer - Privacy