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Items: 1 to 20 of 100

1.

Propensity score estimation with boosted regression for evaluating causal effects in observational studies.

McCaffrey DF, Ridgeway G, Morral AR.

Psychol Methods. 2004 Dec;9(4):403-25.

PMID:
15598095
2.

Average causal effects from nonrandomized studies: a practical guide and simulated example.

Schafer JL, Kang J.

Psychol Methods. 2008 Dec;13(4):279-313. doi: 10.1037/a0014268.

PMID:
19071996
3.

Estimating effects of nursing intervention via propensity score analysis.

Qin R, Titler MG, Shever LL, Kim T.

Nurs Res. 2008 Nov-Dec;57(6):444-52. doi: 10.1097/NNR.0b013e31818c66f6. Review.

4.

Advanced statistics: the propensity score--a method for estimating treatment effect in observational research.

Newgard CD, Hedges JR, Arthur M, Mullins RJ.

Acad Emerg Med. 2004 Sep;11(9):953-61.

5.

A tutorial on propensity score estimation for multiple treatments using generalized boosted models.

McCaffrey DF, Griffin BA, Almirall D, Slaughter ME, Ramchand R, Burgette LF.

Stat Med. 2013 Aug 30;32(19):3388-414. doi: 10.1002/sim.5753. Epub 2013 Mar 18.

6.

Propensity score methods gave similar results to traditional regression modeling in observational studies: a systematic review.

Shah BR, Laupacis A, Hux JE, Austin PC.

J Clin Epidemiol. 2005 Jun;58(6):550-9. Epub 2005 Apr 19. Review.

PMID:
15878468
7.

Methodological aspects in the assessment of treatment effects in observational health outcomes studies.

Haro JM, Kontodimas S, Negrin MA, Ratcliffe M, Suarez D, Windmeijer F.

Appl Health Econ Health Policy. 2006;5(1):11-25. Review.

PMID:
16774289
8.

Propensity scores: an introduction and experimental test.

Luellen JK, Shadish WR, Clark MH.

Eval Rev. 2005 Dec;29(6):530-58.

PMID:
16244051
9.
10.

Using propensity score-based weighting in the evaluation of health management programme effectiveness.

Linden A, Adams JL.

J Eval Clin Pract. 2010 Feb;16(1):175-9. doi: 10.1111/j.1365-2753.2009.01219.x.

PMID:
20367829
11.

Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study.

Austin PC, Grootendorst P, Normand SL, Anderson GM.

Stat Med. 2007 Feb 20;26(4):754-68.

PMID:
16783757
12.

Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data.

Haviland A, Nagin DS, Rosenbaum PR, Tremblay RE.

Dev Psychol. 2008 Mar;44(2):422-36. doi: 10.1037/0012-1649.44.2.422.

PMID:
18331133
13.

Interval estimation for treatment effects using propensity score matching.

Hill J, Reiter JP.

Stat Med. 2006 Jul 15;25(13):2230-56.

PMID:
16220488
15.

Propensity score analysis in observational studies: outcomes after abdominal aortic aneurysm repair.

Johnson ML, Bush RL, Collins TC, Lin PH, Liles DR, Henderson WG, Khuri SF, Petersen LA.

Am J Surg. 2006 Sep;192(3):336-43.

PMID:
16920428
16.
17.

Estimating propensity scores with missing covariate data using general location mixture models.

Mitra R, Reiter JP.

Stat Med. 2011 Mar 15;30(6):627-41. doi: 10.1002/sim.4124. Epub 2010 Dec 28.

PMID:
21337358
18.

Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach.

Qu Y, Lipkovich I.

Stat Med. 2009 Apr 30;28(9):1402-14. doi: 10.1002/sim.3549.

PMID:
19222021
19.

The use of propensity score methods in psychiatric research.

VanderWeele T.

Int J Methods Psychiatr Res. 2006 Jun;15(2):95-103. doi: 10.1002/mpr.183. Review.

PMID:
19722290
20.

Outcomes and sample selection: the case of a homelessness and substance abuse intervention.

Sosin MR.

Br J Math Stat Psychol. 2002 May;55(Pt 1):63-91.

PMID:
12034012
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