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Analysis of Longitudinal Cardiopulmonary Data

This study has been completed.

Sponsored by:	National Heart, Lung, and Blood Institute (NHLBI)
Information provided by:	National Heart, Lung, and Blood Institute (NHLBI)
ClinicalTrials.gov Identifier:	NCT00005221

Purpose

To define new national norms for pediatric blood pressure by adjusting the available data set of over 60,000 pediatric blood pressure readings for age, height and gender among children of normal body weight.

Condition	Phase
Cardiovascular Diseases Heart Diseases Lung Diseases Hypertension	N/A

MedlinePlus related topics:

Heart Diseases High Blood Pressure

U.S. FDA Resources

Study Type:	Observational

Further study details as provided by National Heart, Lung, and Blood Institute (NHLBI):

Study Start Date:	April 1988
Study Completion Date:	May 2008
Primary Completion Date:	May 2008 (Final data collection date for primary outcome measure)

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Eligibility

Genders Eligible for Study:	Both
Accepts Healthy Volunteers:	No

Criteria

No eligibility criteria

Contacts and Locations

Please refer to this study by its ClinicalTrials.gov identifier: NCT00005221

Sponsors and Collaborators

National Heart, Lung, and Blood Institute (NHLBI)

Investigators


Investigator:	Bernard Rosner	Brigham and Women's Hospital

More Information

Publications:

Rosner B. Multivariate methods for binary longitudinal data with heterogeneous correlation over time. Stat Med. 1992 Oct-Nov;11(14-15):1915-28.

Munoz A, Carey V, Schouten JP, Segal M, Rosner B. A parametric family of correlation structures for the analysis of longitudinal data. Biometrics. 1992 Sep;48(3):733-42.

Rosner B. Multivariate methods for clustered binary data with multiple subclasses, with application to binary longitudinal data. Biometrics. 1992 Sep;48(3):721-31.

Beckett LA, Rosner B, Roche AF, Guo S. Serial changes in blood pressure from adolescence into adulthood. Am J Epidemiol. 1992 May 15;135(10):1166-77.

Rosner B, Langford HG. Judging the effectiveness of antihypertensive therapy in an individual patient. J Clin Epidemiol. 1991;44(8):831-8.

Smith L, Rosner B. Estimation of variance components for censored data with applications to blood pressure variability. Stat Med. 1991 Sep;10(9):1441-52.

D'Agostino RB Jr, Sparrow D, Weiss S, Rosner B. Longitudinal models for analysis of respiratory function. Stat Med. 1995 Oct 30;14(20):2205-16.

Cook NR, Rosner BA. An optimal rule for screening subjects for clinical trials in the presence of within-person variability. Control Clin Trials. 1994 Jun;15(3):173-86.

Schmid CH, Rosner B. A Bayesian approach to logistic regression models having measurement error following a mixture distribution. Stat Med. 1993 Jun 30;12(12):1141-53.

Cook NR, Gillman MW, Rosner BA, Taylor JO, Hennekens CH. Prediction of young adult blood pressure from childhood blood pressure, height, and weight. J Clin Epidemiol. 1997 May;50(5):571-9.

Rockhill B, Colditz GA, Rosner B. Bias in breast cancer analyses due to error in age at menopause. Am J Epidemiol. 2000 Feb 15;151(4):404-8.

Cook NR, Gillman MW, Rosner BA, Taylor JO, Hennekens CH. Combining annual blood pressure measurements in childhood to improve prediction of young adult blood pressure. Stat Med. 2000 Oct 15;19(19):2625-40.

Tishler PV, Carey VJ, Reed T, Fabsitz RR. The role of genotype in determining the effects of cigarette smoking on pulmonary function. Genet Epidemiol. 2002 Mar;22(3):272-82.

Carey VJ, Rosner BA. Analysis of longitudinally observed irregularly timed multivariate outcomes: regression with focus on cross-component correlation. Stat Med. 2001 Jan 15;20(1):21-31.

Rosner B, Grove D. Use of the Mann-Whitney U-test for clustered data. Stat Med. 1999 Jun 15;18(11):1387-400.

Lee ML, Rosner BA, Weiss ST. Relationship of blood pressure to cardiovascular death: the effects of pulse pressure in the elderly. Ann Epidemiol. 1999 Feb;9(2):101-7.

Carey VJ. Using hypertext and the Internet for structure and management of observational studies. Stat Med. 1997 Aug 15;16(15):1667-82.

Cook NR, Rosner BA, Chen W, Srinivasan SR, Berenson GS. Using the area under the curve to reduce measurement error in predicting young adult blood pressure from childhood measures. Stat Med. 2004 Nov 30;23(22):3421-35.

Study ID Numbers:	1100
First Received:	May 25, 2000
Last Updated:	July 1, 2008
ClinicalTrials.gov Identifier:	NCT00005221
Health Authority:	United States: Federal Government

Study placed in the following topic categories:

Heart Diseases

Respiratory Tract Diseases

Lung Diseases

Vascular Diseases

Hypertension

Additional relevant MeSH terms:

Cardiovascular Diseases

ClinicalTrials.gov processed this record on December 03, 2008