Results 71 to 80 of about 109,995 (172)

Non-collapsibility and built-in selection bias of period-specific and conventional hazard ratio in randomized controlled trials

BMC Medical Research Methodology
Background The hazard ratio of the Cox proportional hazards model is widely used in randomized controlled trials to assess treatment effects. However, two properties of the hazard ratio including the non-collapsibility and built-in selection bias need to
Helen Bian, Menglan Pang, Guanbo Wang, Zihang Lu   +3 more
doaj   +1 more source

Influence of moderate left subclavian artery stenosis on outcomes after coronary bypass surgery in patients requiring hemodialysisCentral MessagePerspective

JTCVS Open
Objectives: Left subclavian artery stenosis in patients requiring hemodialysis can cause coronary steal syndrome via the left internal thoracic artery (LITA) graft to the left anterior descending artery (LAD), potentially leading to graft failure.
Ryoma Oda, MD, PhD, Takeshi Kinoshita, MD, PhD, Daisuke Endo, MD, PhD, Kan Kajimoto, MD, PhD, Taira Yamamoto, MD, PhD, Atsushi Amano, MD, PhD, Minoru Tabata, MD, PhD   +6 more
doaj   +1 more source

Local ablation vs partial nephrectomy in T1N0M0 renal cell carcinoma: An inverse probability of treatment weighting analysis

Cancer Medicine, 2020
Objective To compare the survival outcomes of local ablation (LA) and partial nephrectomy (PN) for T1N0M0 renal cell carcinoma (RCC). Method We identified 38,155 T1N0M0 RCC patients treated with PN or LA in 2004‐2016 from the retrospective Surveillance ...
Lei Shi, Yan He, Chang Liu, Xiaoyuan Qian, Zhixian Wang   +4 more
doaj   +1 more source

Preoperative platelet count predicts posttransplant portal vein complications in orthotopic liver transplantation: a propensity score analysis

BMC Gastroenterology, 2021
Background The role of platelets on the prognosis of patients with liver transplantation remains unclear. Thus, we aimed to evaluate the influence of preoperative platelet count on postoperative morbidity after liver transplantation.
Qingshan Li, Yue Wang, Tao Ma, Fenggang Ren, Fan Mu, Rongqian Wu, Yi Lv, Bo Wang   +7 more
doaj   +1 more source

Nonprescription Magnesium Supplement Use and Risk of Heart Failure in Patients With Diabetes: A Target Trial Emulation

Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
Background Both diabetes and low magnesium‐containing food intake may increase the risk of heart failure (HF). However, the effect of nonprescription magnesium supplements on the risk of HF or major adverse cardiac events in patients with diabetes is ...
Yan Cheng, Andrew R. Zullo, Ying Yin, Yijun Shao, Simin Liu, Qing Zeng‐Treitler, Wen‐Chih Wu   +6 more
doaj   +1 more source

A Note on the Relation of Weighting and Matching Estimators [PDF]

This paper compares the inverse-probability-of-selection-weighting estimation principle with the matching principle and derives conditions for weighting and matching to identify the same and the true distribution, respectively.
Michael Lechner
core  

Survival ensembles by the sum of pairwise differences with application to lung cancer microarray studies

, 2011
Lung cancer is among the most common cancers in the United States, in terms of incidence and mortality. In 2009, it is estimated that more than 150,000 deaths will result from lung cancer alone. Genetic information is an extremely valuable data source in
Johnson, Brent A., Long, Qi
core   +1 more source

The early bird in renal rescue: timing matters in acute kidney injury management—insights from target trial emulation

Frontiers in Medicine
BackgroundAcute kidney injury (AKI) is prevalent in critically ill patients. The optimal timing for initiating renal replacement therapy (RRT) remains unsettled.
Miaowen She, Jinhu Zhuang, Xi Chen, Lili Hu, Thuan-Quoc Thach, Kin Cheung, Xiaxia Yu, Mengyi Wang, Xiang Zheng, Yong Liu   +9 more
doaj   +1 more source

Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score [PDF]

We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is independent of the potential outcomes given pretreatment variables, biases associated with simple treatment-control average ...
Geert Ridder, Guido W. Imbens, Keisuke Hirano   +2 more
core  

Quantile outcome adaptive lasso: Covariate selection for inverse probability weighting estimator of quantile treatment effects

Statistical Methods in Medical Research
When using the propensity score method to estimate the treatment effects, it is important to select the covariates to be included in the propensity score model. The inclusion of covariates unrelated to the outcome in the propensity score model led to bias and large variance in the estimator of treatment effects.
Takehiro Shoji, Jun Tsuchida, Hiroshi Yadohisa   +2 more
openaire   +3 more sources