Literature DB >> 15386710

On principles for modeling propensity scores in medical research.

Donald B Rubin.   

Abstract

Mesh：

Year:  2004        PMID： 15386710     DOI： 10.1002/pds.968

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN： 1053-8569            Impact factor:   2.890


× No keyword cloud information.
  87 in total

1.  Enrolment in primary care networks: impact on outcomes and processes of care for patients with diabetes.

Authors:  Braden J Manns; Marcello Tonelli; Jianguo Zhang; David J T Campbell; Peter Sargious; Bharati Ayyalasomayajula; Fiona Clement; Jeffrey A Johnson; Andreas Laupacis; Richard Lewanczuk; Kerry McBrien; Brenda R Hemmelgarn
Journal:  CMAJ       Date:  2011-12-05       Impact factor: 8.262

2.  Matching methods for causal inference: A review and a look forward.

Authors:  Elizabeth A Stuart
Journal:  Stat Sci       Date:  2010-02-01       Impact factor: 2.901

3.  Is hospital teaching status a key factor in hospital charge for children with hip fractures?: preliminary findings from KID database.

Authors:  Yubo Gao; Andrew Pugely; Matthew Karam; Phinit Phisitkul; Sergio Mendoza; Richard C Johnston
Journal:  Iowa Orthop J       Date:  2013

Review 4.  Indications for propensity scores and review of their use in pharmacoepidemiology.

Authors:  Robert J Glynn; Sebastian Schneeweiss; Til Stürmer
Journal:  Basic Clin Pharmacol Toxicol       Date:  2006-03       Impact factor: 4.080

5.  Using full matching to estimate causal effects in nonexperimental studies: examining the relationship between adolescent marijuana use and adult outcomes.

Authors:  Elizabeth A Stuart; Kerry M Green
Journal:  Dev Psychol       Date:  2008-03

6.  A novel approach for propensity score matching and stratification for multiple treatments: Application to an electronic health record-derived study.

Authors:  Derek W Brown; Stacia M DeSantis; Thomas J Greene; Vahed Maroufy; Ashraf Yaseen; Hulin Wu; George Williams; Michael D Swartz
Journal:  Stat Med       Date:  2020-04-16       Impact factor: 2.373

Review 7.  Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research.

Authors:  Jeff Y Yang; Michael Webster-Clark; Jennifer L Lund; Robert S Sandler; Evan S Dellon; Til Stürmer
Journal:  Gastrointest Endosc       Date:  2019-04-30       Impact factor: 9.427

8.  Impact of body mass index on biochemical recurrence rates after radical prostatectomy: an analysis utilizing propensity score matching.

Authors:  Ahmed Magheli; Soroush Rais-Bahrami; Bruce J Trock; Elizabeth B Humphreys; Alan W Partin; Misop Han; Mark L Gonzalgo
Journal:  Urology       Date:  2008-04-02       Impact factor: 2.649

9.  Incident heart failure hospitalization and subsequent mortality in chronic heart failure: a propensity-matched study.

Authors:  Ali Ahmed; Richard M Allman; Gregg C Fonarow; Thomas E Love; Faiez Zannad; Louis J Dell'italia; Michel White; Mihai Gheorghiade
Journal:  J Card Fail       Date:  2008-04       Impact factor: 5.712

10.  Improving propensity score weighting using machine learning.

Authors:  Brian K Lee; Justin Lessler; Elizabeth A Stuart
Journal:  Stat Med       Date:  2010-02-10       Impact factor: 2.373
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.