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Items: 1 to 20 of 128

1.

Design strategies and innovations in the medical expenditure panel survey.

Cohen SB.

Med Care. 2003 Jul;41(7 Suppl):III5-III12. Review.

PMID:
12865722
2.
3.

The Medical Expenditure Panel Survey: a national health information resource.

Cohen JW, Monheit AC, Beauregard KM, Cohen SB, Lefkowitz DC, Potter DE, Sommers JP, Taylor AK, Arnett RH 3rd.

Inquiry. 1996-1997 Winter;33(4):373-89.

PMID:
9031653
4.

Regression-based sampling for persons with high health expenditures: evaluating accuracy and yield with the 1997 MEPS.

Moeller JF, Cohen SB, Mathiowetz NA, Wun LM.

Med Care. 2003 Jul;41(7 Suppl):III44-III52.

PMID:
12865726
5.

The medical expenditure panel survey: a national information resource to support healthcare cost research and inform policy and practice.

Cohen JW, Cohen SB, Banthin JS.

Med Care. 2009 Jul;47(7 Suppl 1):S44-50. doi: 10.1097/MLR.0b013e3181a23e3a.

PMID:
19536015
6.

On modelling response propensity for dwelling unit (DU) level non-response adjustment in the Medical Expenditure Panel Survey (MEPS).

Wun LM, Ezzati-Rice TM, Diaz-Tena N, Greenblatt J.

Stat Med. 2007 Apr 15;26(8):1875-84.

PMID:
17206601
7.

The Medical Expenditure Panel Survey: an overview.

Cohen SB.

Eff Clin Pract. 2002 May-Jun;5(3 Suppl):E1. No abstract available.

PMID:
12166922
8.

Making survey results easy to report to consumers: how reporting needs guided survey design in CAHPS. Consumer Assessment of Health Plans Study.

McGee J, Kanouse DE, Sofaer S, Hargraves JL, Hoy E, Kleimann S.

Med Care. 1999 Mar;37(3 Suppl):MS32-40.

PMID:
10098557
9.
10.

Persistence in health expenditures in the short run: prevalence and consequences.

Monheit AC.

Med Care. 2003 Jul;41(7 Suppl):III53-III64.

PMID:
12865727
11.

Special issues in assessing care of Medicaid recipients.

Brown JA, Nederend SE, Hays RD, Short PF, Farley DO.

Med Care. 1999 Mar;37(3 Suppl):MS79-88.

PMID:
10098562
12.

The utility of extended longitudinal profiles in predicting future health care expenditures.

Cohen SB, Ezzati-Rice T, Yu W.

Med Care. 2006 May;44(5 Suppl):I45-53.

PMID:
16625064
13.

Health care for children and youth in the United States: annual report on patterns of coverage, utilization, quality, and expenditures by income.

Simpson L, Owens PL, Zodet MW, Chevarley FM, Dougherty D, Elixhauser A, McCormick MC.

Ambul Pediatr. 2005 Jan-Feb;5(1):6-44.

PMID:
15656707
14.

Facility-level factors influencing chronic heart failure care process performance in a national integrated health delivery system.

Subramanian U, Sutherland J, McCoy KD, Welke KF, Vaughn TE, Doebbeling BN.

Med Care. 2007 Jan;45(1):28-45.

PMID:
17279019
15.

Reliability and validity of the SF-12v2 in the medical expenditure panel survey.

Cheak-Zamora NC, Wyrwich KW, McBride TD.

Qual Life Res. 2009 Aug;18(6):727-35. doi: 10.1007/s11136-009-9483-1. Epub 2009 May 8.

PMID:
19424821
16.
17.

Using the SF-12 health status measure to improve predictions of medical expenditures.

Fleishman JA, Cohen JW, Manning WG, Kosinski M.

Med Care. 2006 May;44(5 Suppl):I54-63.

PMID:
16625065
18.

The role of race and ethnicity in the State Children's Health Insurance Program (SCHIP) in four states: are there baseline disparities, and what do they mean for SCHIP?

Shone LP, Dick AW, Brach C, Kimminau KS, LaClair BJ, Shenkman EA, Col JF, Schaffer VA, Mulvihill F, Szilagyi PG, Klein JD, VanLandeghem K, Bronstein J.

Pediatrics. 2003 Dec;112(6 Pt 2):e521.

PMID:
14654674
19.

Short-term persistence of high health care costs in a nationally representative sample of children.

Liptak GS, Shone LP, Auinger P, Dick AW, Ryan SA, Szilagyi PG.

Pediatrics. 2006 Oct;118(4):e1001-9.

PMID:
17015496
20.

The utility of prediction models to oversample the long-term uninsured.

Cohen SB, Yu WW.

Med Care. 2009 Jan;47(1):80-7. doi: 10.1097/MLR.0b013e3181844e2e.

PMID:
19106735

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