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Items: 1 to 20 of 185

1.

Breast cancer incidence using administrative data: correction with sensitivity and specificity.

Couris CM, Polazzi S, Olive F, Remontet L, Bossard N, Gomez F, Schott AM, Mitton N, Colonna M, Trombert B.

J Clin Epidemiol. 2009 Jun;62(6):660-6. doi: 10.1016/j.jclinepi.2008.07.013. Epub 2008 Dec 12.

PMID:
19070463
2.

Method of correction to assess the number of hospitalized incident breast cancer cases based on claims databases.

Couris CM, Colin C, Rabilloud M, Schott AM, Ecochard R.

J Clin Epidemiol. 2002 Apr;55(4):386-91.

PMID:
11927207
3.

Evaluation of an algorithm to identify incident breast cancer cases using DRGs data.

Ganry O, Taleb A, Peng J, Raverdy N, Dubreuil A.

Eur J Cancer Prev. 2003 Aug;12(4):295-9.

PMID:
12883382
4.

[Role of hospital claims databases from care units for estimating thyroid cancer incidence in the Rhône-Alpes region of France].

Hafdi-Nejjari Z, Couris CM, Schott AM, Perrot L, Bourgoin F, Borson-Chazot F, Sassolas G.

Rev Epidemiol Sante Publique. 2006 Oct;54(5):391-8. French. Erratum in: Rev Epidemiol Sante Publique. 2007 Feb;55(1):76. Schot, A-M [corrected to Schott, A-M].

PMID:
17149160
5.

[Sensitivity and specificity of two methods used to identify incident breast cancer in specialized units using claims databases].

Couris CM, Forêt-Dodelin C, Rabilloud M, Colin C, Bobin JY, Dargent D, Raudrant D, Schott AM.

Rev Epidemiol Sante Publique. 2004 Apr;52(2):151-60. French.

PMID:
15138394
6.

A high positive predictive value algorithm using hospital administrative data identified incident cancer cases.

Baldi I, Vicari P, Di Cuonzo D, Zanetti R, Pagano E, Rosato R, Sacerdote C, Segnan N, Merletti F, Ciccone G.

J Clin Epidemiol. 2008 Apr;61(4):373-9. doi: 10.1016/j.jclinepi.2007.05.017. Epub 2007 Oct 22.

PMID:
18313562
7.

Using administrative data to identify and stage breast cancer cases: implications for assessing quality of care.

Yuen E, Louis D, Cisbani L, Rabinowitz C, De Palma R, Maio V, Leoni M, Grilli R.

Tumori. 2011 Jul-Aug;97(4):428-35. doi: 10.1700/950.10393.

8.

Ability of Medicare claims data and cancer registries to identify cancer cases and treatment.

McClish DK, Penberthy L, Whittemore M, Newschaffer C, Woolard D, Desch CE, Retchin S.

Am J Epidemiol. 1997 Feb 1;145(3):227-33.

PMID:
9012595
9.

Comparing breast cancer case identification using HMO computerized diagnostic data and SEER data.

Rolnick SJ, Hart G, Barton MB, Herrinton L, Flores SK, Paulsen KJ, Husson G, Harris EL, Geiger AM, Elmore JG, Fletcher SW.

Am J Manag Care. 2004 Apr;10(4):257-62.

10.

Is it possible to estimate the incidence of breast cancer from medico-administrative databases?

Remontet L, Mitton N, Couris CM, Iwaz J, Gomez F, Olive F, Polazzi S, Schott AM, Trombert B, Bossard N, Colonna M.

Eur J Epidemiol. 2008;23(10):681-8. doi: 10.1007/s10654-008-9282-y. Epub 2008 Aug 21.

PMID:
18716885
11.

French claims data as a source of information to describe cancer incidence: predictive values of two identification methods of incident prostate cancers.

Couris CM, Seigneurin A, Bouzbid S, Rabilloud M, Perrin P, Martin X, Colin C, Schott AM.

J Med Syst. 2006 Dec;30(6):459-63.

PMID:
17233158
12.

Linked insurance-tumor registry database for health services research.

Doebbeling BN, Wyant DK, McCoy KD, Riggs S, Woolson RF, Wagner D, Wilson RT, Lynch CF.

Med Care. 1999 Nov;37(11):1105-15.

PMID:
10549613
13.

An algorithm for the use of Medicare claims data to identify women with incident breast cancer.

Nattinger AB, Laud PW, Bajorunaite R, Sparapani RA, Freeman JL.

Health Serv Res. 2004 Dec;39(6 Pt 1):1733-49.

14.

Use of Medicare hospital and physician data to assess breast cancer incidence.

Warren JL, Feuer E, Potosky AL, Riley GF, Lynch CF.

Med Care. 1999 May;37(5):445-56.

PMID:
10335747
15.

[Female genital and breast cancers in France: geographic distribution and estimation of incidence].

Chaplain G, Grosclaude P, Arveux P, Raverdy N, Menegoz F, Henry-Amar M, Schaffer P, Daures JP, de Vathaire F.

Bull Cancer. 1997 Oct;84(10):935-40. French.

16.

An approach to identifying incident breast cancer cases using Medicare claims data.

Freeman JL, Zhang D, Freeman DH, Goodwin JS.

J Clin Epidemiol. 2000 Jun;53(6):605-14.

PMID:
10880779
17.

Finding incident breast cancer cases through US claims data and a state cancer registry.

Wang PS, Walker AM, Tsuang MT, Orav EJ, Levin R, Avorn J.

Cancer Causes Control. 2001 Apr;12(3):257-65.

PMID:
11405331
18.

Estimating infra-national and national thyroid cancer incidence in France from cancer registries data and national hospital discharge database.

Uhry Z, Colonna M, Remontet L, Grosclaude P, Carré N, Couris CM, Velten M.

Eur J Epidemiol. 2007;22(9):607-14. Epub 2007 Jul 18.

PMID:
17636414
19.

[Performance evaluation of hospital claims database for the identification of incident central nervous system tumors compared with a cancer registry in Gironde, France, 2004].

Coureau G, Baldi I, Savès M, Jaffré A, Barat C, Gruber A, Loiseau H, Kostrzewa A, Servas V, Salamon R, Gilleron V.

Rev Epidemiol Sante Publique. 2012 Aug;60(4):295-304. doi: 10.1016/j.respe.2012.02.003. Epub 2012 Jun 15. French.

PMID:
22704681
20.

Cancer registry data based estimation of regional cancer incidence: application to breast and colorectal cancer in French administrative regions.

Colonna M, Grosclaude P, Faivre J, Revzani A, Arveux P, Chaplain G, Tretarre B, Launoy G, Lesec'h JM, Raverdy N, Schaffer P, Buémi A, Ménégoz F, Black RJ.

J Epidemiol Community Health. 1999 Sep;53(9):558-64.

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