Results 211 to 220 of about 92,671 (263)

Comparative analysis of robotic vs. laparoscopic right hepatectomy: propensity score matching and machine learning analysis for outcome prediction. [PDF]

Front Surg
Mazzotta AD, Samer D, Salina G, Ratti F, Baldisseri F, Magistri P, Belli A, Ceccarelli G, Izzo F, Spampinato MG, De' Angelis N, Pessaux P, Piardi T, Di Benedetto F, Ammendola M, Aldrighetti L, Mennini G, Tedeschi M, Memeo R, Soubrane O.   +19 more
europepmc   +1 more source

Impact of Age on Early CAR T-Cell Therapy Toxicity: A Propensity Score Matching Analysis. [PDF]

Cancer Med
Tan JY, Yeo YH, Ang QX, Chen G, Chan KH.
europepmc   +1 more source

Efficacy and safety of transarterial chemoembolization plus donafenib with or without camrelizumab for unresectable hepatocellular carcinoma: a propensity score matching analysis. [PDF]

Front Immunol
Zhang Q, Lei Z, Qing H, Xie X.
europepmc   +1 more source

Estimated Impact of Pressure to Conceive on Maternal Depression in Lesotho: A Quasi-experimental Propensity Score Matching using DHS Data. [PDF]

Arch Womens Ment Health
Jejaw M, Kelkay JM, Demissie KA, Hagos A, Teshale G, Baykemagn ND, Tadele A, Tafere TZ, Aschalew AY, Yehuala TZ.   +9 more
europepmc   +1 more source

Characteristics and Prognosis of Early-Onset vs. Late-Onset Colon Cancer: A Propensity Score Matching Analysis Based on Histology. [PDF]

Cancer Med
Cheng X, Xiang T, Wang S, Wang J.
europepmc   +1 more source

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Propensity Score Matching with Time-Dependent Covariates

Biometrics, 2005
SummaryIn observational studies with a time‐dependent treatment and time‐dependent covariates, it is desirable to balance the distribution of the covariates at every time point. A time‐dependent propensity score based on the Cox proportional hazards model is proposed and used in risk set matching. Matching on this propensity score is shown to achieve a
Bo Lu
exaly   +3 more sources

Propensity Score Matching

Clinical Spine Surgery: A Spine Publication, 2020
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes the removal of confounding bias from observational cohorts where the benefit of randomization is not possible. An alternative to multiple regression analysis, PSM attempts to reduce the effects of confounders by matching already ...
Liam T, Kane, Taolin, Fang, Matthew S, Galetta, Dhruv K C, Goyal, Kristen J, Nicholson, Christopher K, Kepler, Alexander R, Vaccaro, Gregory D, Schroeder   +7 more
openaire   +3 more sources

Propensity Score Matching

2011
Propensity-scores and propensity-score-matching can be used respectively for adjusting covariates in a multiple regression analysis and for stratification/matching of asymmetric observational clinical data, and have recently been emphasized by Dr. D’Agostino in an invited paper in Circulation as a promising additional tool for analyzing such data (D ...
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +1 more source

Propensity Score Matching

The American Statistician, 2008
Over the past 25 years, evaluators of social programs have searched for nonexperimental methods that can substitute effectively for experimental ones. Recently, the spotlight has focused on one method, propensity score matching (PSM), as the suggested approach for evaluating employment and education programs.
Peikes, Deborah N., Moreno, Lorenzo, Orzol, Sean Michael   +2 more
openaire   +2 more sources

Propensity Score Matching

Medical Care, 2003
Health services researchers are often interested in the effect of a treatment or a service in situations in which randomization is difficult or impossible. One useful alternative involves propensity score methods, a means for matching members of different groups based on a range of characteristics.
openaire   +2 more sources