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Items: 18

1.

Assessing validity of ICD-9-CM and ICD-10 administrative data in recording clinical conditions in a unique dually coded database.

Quan H, Li B, Saunders LD, Parsons GA, Nilsson CI, Alibhai A, Ghali WA; IMECCHI Investigators.

Health Serv Res. 2008 Aug;43(4):1424-41.

2.

Identification of patients with diabetic macular edema from claims data: a validation study.

Bearelly S, Mruthyunjaya P, Tzeng JP, Suñer IJ, Shea AM, Lee JT, Kowalski JW, Curtis LH, Schulman KA, Lee PP.

Arch Ophthalmol. 2008 Jul;126(7):986-9. doi: 10.1001/archopht.126.7.986.

PMID:
18625948
3.

Using multiple data features improved the validity of osteoporosis case ascertainment from administrative databases.

Lix LM, Yogendran MS, Leslie WD, Shaw SY, Baumgartner R, Bowman C, Metge C, Gumel A, Hux J, James RC.

J Clin Epidemiol. 2008 Dec;61(12):1250-60. doi: 10.1016/j.jclinepi.2008.02.002. Epub 2008 Jul 10.

PMID:
18619800
4.

A public health collaboration for the surveillance of autism spectrum disorders.

Rice CE, Baio J, Van Naarden Braun K, Doernberg N, Meaney FJ, Kirby RS; ADDM Network.

Paediatr Perinat Epidemiol. 2007 Mar;21(2):179-90.

PMID:
17302648
5.

Prevalence of autism spectrum disorders--autism and developmental disabilities monitoring network, 14 sites, United States, 2002.

Autism and Developmental Disabilities Monitoring Network Surveillance Year 2002 Principal Investigators; Centers for Disease Control and Prevention.

MMWR Surveill Summ. 2007 Feb 9;56(1):12-28.

6.

Pervasive developmental disorders in Montreal, Quebec, Canada: prevalence and links with immunizations.

Fombonne E, Zakarian R, Bennett A, Meng L, McLean-Heywood D.

Pediatrics. 2006 Jul;118(1):e139-50.

PMID:
16818529
7.
8.

Systematic review of prevalence studies of autism spectrum disorders.

Williams JG, Higgins JP, Brayne CE.

Arch Dis Child. 2006 Jan;91(1):8-15. Epub 2005 Apr 29. Review.

9.

National autism prevalence trends from United States special education data.

Newschaffer CJ, Falb MD, Gurney JG.

Pediatrics. 2005 Mar;115(3):e277-82.

PMID:
15741352
10.

The prevalence of autism.

Fombonne E.

JAMA. 2003 Jan 1;289(1):87-9. No abstract available.

PMID:
12503982
11.

Descriptive epidemiology of autism in a California population: who is at risk?

Croen LA, Grether JK, Selvin S.

J Autism Dev Disord. 2002 Jun;32(3):217-24.

PMID:
12108623
12.

Diabetes in Ontario: determination of prevalence and incidence using a validated administrative data algorithm.

Hux JE, Ivis F, Flintoft V, Bica A.

Diabetes Care. 2002 Mar;25(3):512-6.

PMID:
11874939
13.

The autism diagnostic observation schedule-generic: a standard measure of social and communication deficits associated with the spectrum of autism.

Lord C, Risi S, Lambrecht L, Cook EH Jr, Leventhal BL, DiLavore PC, Pickles A, Rutter M.

J Autism Dev Disord. 2000 Jun;30(3):205-23.

PMID:
11055457
14.

Practice parameter: screening and diagnosis of autism: report of the Quality Standards Subcommittee of the American Academy of Neurology and the Child Neurology Society.

Filipek PA, Accardo PJ, Ashwal S, Baranek GT, Cook EH Jr, Dawson G, Gordon B, Gravel JS, Johnson CP, Kallen RJ, Levy SE, Minshew NJ, Ozonoff S, Prizant BM, Rapin I, Rogers SJ, Stone WL, Teplin SW, Tuchman RF, Volkmar FR.

Neurology. 2000 Aug 22;55(4):468-79.

PMID:
10953176
15.

The screening and diagnosis of autistic spectrum disorders.

Filipek PA, Accardo PJ, Baranek GT, Cook EH Jr, Dawson G, Gordon B, Gravel JS, Johnson CP, Kallen RJ, Levy SE, Minshew NJ, Ozonoff S, Prizant BM, Rapin I, Rogers SJ, Stone WL, Teplin S, Tuchman RF, Volkmar FR.

J Autism Dev Disord. 1999 Dec;29(6):439-84. Review. Erratum in: J Autism Dev Disord 2000 Feb;30(1):81.

PMID:
10638459
16.

R2: a useful measure of model performance when predicting a dichotomous outcome.

Ash A, Shwartz M.

Stat Med. 1999 Feb 28;18(4):375-84.

PMID:
10070680
18.

First report of a Canadian epidemiological study of autistic syndromes.

Bryson SE, Clark BS, Smith IM.

J Child Psychol Psychiatry. 1988 Jul;29(4):433-45.

PMID:
3265136
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