The analysis of peak expiratory flow data using a three-level hierarchical model

Statistics in Medicine

Volumn 23, Issue 24, 2004, Pages 3821-3839

  Lambert, Paul C ^a   Burton, Paul R ^a   Abrams, Keith R ^a   Brooke, Adrian M ^a  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

Author keywords

Asthma; Hierarchical models; Random effects; Repeated measures

Indexed keywords

ARTICLE; ASTHMA; ATOPY; BAYES THEOREM; CHILD; CLINICAL PRACTICE; CONTROLLED STUDY; CORRELATION FUNCTION; COVARIANCE; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PEAK EXPIRATORY FLOW; PREDICTION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE;

ASTHMA; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; CIRCADIAN RHYTHM; COMPUTER SIMULATION; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; PEAK EXPIRATORY FLOW RATE;

EID: 11344260904     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1951     Document Type: Article

References (28)

1. Ayres JG, Turpin PJ. Peak flow measurement. An Illustrated Guide. Chapman & Hall: London, 1997.
2. Enright PL, Lebowitz MD, Cockroft DW. Physiological measures - pulmonary-function tests - asthma outcome. American Journal of Respiratory and Critical Care Medicine 1994; 149:S9-S18.
3. Toogood JH, Andreou P, Baskerville J. A methodological assessment of diurnal variability of peak flow as a basis for comparing different inhaled steroid formulations. Journal of Allergy and Clinical Immunology 1996; 98:555-562.
4. Lebowitz MD, Holberg CJ, Knudson RJ, Burrows B. Longitudinal-study of pulmonary-function development in childhood, adolescence, and early adulthood - development of pulmonary-function. American Review of Respiratory Disease 1987; 136:69-75.
5. Toelle BG, Peat JK, Salome CM, Mellis CM, Woolcock AJ. Toward a definition of asthma for epidemiology. American Review of Respiratory Disease 1992; 146:633-637.
6. Sly PD, Cahill P, Willet K, Burton P. Accuracy of mini peak flow meters in indicating changes in lung function in children with asthma. British Medical Journal 1994; 308:572-574.
7. Kamps AW, Roorda RJ, Brand PL. Peak flow diaries in childhood asthma are unreliable. Thorax 2001; 56: 180-182.
8. Hetzel MR, Clark TJH. Comparison of normal and asthmatic circadian rhythms in peak expiratory flow rate. Thorax 1980; 35 732-738.
9. British Thoratic Society. The British guidelines on asthma management. 1995 review and position statement. Thorax 1996; 52 Suppl.):S1-S21.
10. Bethesda MD. Global initiative for asthma. Global strategy for asthma management and prevention. NIH Publication No. 96-3659A, National Institute of Health, 1995.
11. Matthews JNS. A refinement to the analysis of serial data using summary measures. Statistics in Medicine 1993; 12 27-37.
12. Luyt DK, Burton PR, Simpson H. Epidemiological study of wheeze, doctor diagnosed asthma, and cough in preschool children in Leicestershire. British Medical Journal 1993; 306:1386-1390.
13. Brooke AM, Lambert PC, Burton PR, Clarke C, Luyt DK, Simpson H. The natural-history of respiratory symptoms in preschool-children. American Journal of Respiratory and Critical Care Medicine 1995; 152: 1872-1878.
14. Brooke AM, Lambert PC, Burton PR, Clarke C, Luyt DK, Simpson H. Night cough in a population-based sample of children - characteristics, relation to symptoms and associations with measures of asthma severity. European Respiratory Journal 1996; 9:65-71.
15. Pepys J. Skin tests in diagnosis. In Clinical Aspects of Immunology, Gell PH, Coombs RRA, Lach PJ (eds). Blackwell Scientific Publications: Oxford, 1975; 55-80.
16. Wille S, Svensson K. Peak flow in children aged 4-16 years: normal values for vitalograph peak flow monitorm wright and mini wright peakflow meters. Acta Paediatrica Scandinavia 1989; 78 544-548.
17. Siersted HC, Hansen HS, Hansen NCG, Hyldebrandt N, Mostgaard G, Oxhoj H. Evaluation of peak expiratory flow variability in an adolescent population-sample - the Odense schoolchild study. American Journal of Respiratory and Critical Care Medicine 1994; 149 598-603.
18. Higgins BG, Britton JR, Chinn S, Cooper S, Burney PGJ, Tattersfield AE. Comparison of bronchial reactivity and peak expiratory flow variability measurements for epidemiologic studies. American Review of Respiratory Disease 1992; 145:588-593.
19. Reddel H, Jenkins C, Woolcock A. Diurnal variability - time to change asthma guidelines? British Medical Journal 1999; 319 45-47.
20. Hand DJ, Crowder MJ. Practical Longitudinal Data Analyses Chapman & Hall: London, 1996.
21. Rasbash J, Browne WJ, Goldstein H, Yang M, Plewis IF, Healy MJR, Woodhouse G, Draper D, Langford IH, Lewis T. A User's Guide to MLwiN. Institute of Education, University of London: London, 1999.
22. Clough JB, Williams JD, Holgate ST. Effect of atopy on the natural-history of symptoms, peak expiratory flow, and bronchial responsiveness in 7-year-old and 8-year-old children with cough and wheeze - a 12-month longitudinal-study. American Review of Respiratory Disease 1991; 143:755-760.
23. Goldstein H. Multilevel Statistical Models. Edward Arnold: London, 1995.
24. Longford NT. On estimating standard effors in multilevel analysis. Journal of the Royal Statistical Society, Series D 2000; 49:389-398.
25. Spiegelhalter DJ, Thomas A, Best NG. WinBUGS Version 1.2 User Manual. MRC Biostatistics Unit: Cambridge, 1999.
26. Gelfand AE, Sahu SK, Carlin BP. Efficient parametrizations for generalized linear mixed models. In Bayesian Statistics 5, Bernardo JM, Berger J, Dawid AP, Smith AFM (eds). Oxford University Press: Oxford, 1995.
27. De Groot ME. Optimal Statistical Decisions. McGraw-Hill: New York, 1970.
28. Lambert PC, Abrams KR, Jones DR, Halligan AW, Shennan A. Analysis of ambulatory blood pressure monitor data using a hierarchical model incorporating restricted cubic splines and heterogeneous within-subject variances. Statistics in Medicine 2001; 20 3789-3805.