Maternal smoking during pregnancy and birth outcomes with weight gain adjustments via varying-coefficient models

Statistics in Medicine

Volumn 16, Issue 14, 1997, Pages 1603-1616

  Segal, Mark R ^a   Wight, Suzanne ^b   Hanrahan, John P ^c   Tager, Ira B ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COVARIANCE; ENVIRONMENTAL EXPOSURE; HUMAN; PREGNANCY; PREGNANCY COMPLICATION; SMOKING; STATISTICAL MODEL; UNITED STATES; WEIGHT GAIN;

ADULT; ANALYSIS OF VARIANCE; BIRTH WEIGHT; BOSTON; FEMALE; HUMANS; INFANT, NEWBORN; MODELS, STATISTICAL; PREGNANCY; PRENATAL EXPOSURE DELAYED EFFECTS; REGRESSION ANALYSIS; SMOKING; STATISTICS, NONPARAMETRIC; WEIGHT GAIN;

EID: 0030746561     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0258(19970730)16:14<1603::AID-SIM604>3.0.CO;2-1     Document Type: Article

References (21)

1. Institute of Medicine. Subcommittee on nutritional status and weight gain during pregnancy, National Academy Press, Washington, D.C., 1990.
2. Hediger, M. L., Scholl, T. O., Belsky, D. H., Ances, I. G. and Salmon, R. W. 'Patterns of weight gain in adolescent pregnancy: effects on birth weight and preterm delivery', Obstetrics and Gynecology, 74, 6-12 (1989).
3. Abrams, B. and Newman, V. 'Small-for-gestational-age birth; maternal predictors and comparison of risk factors of spontaneous preterm delivery in the same cohort', American Journal of Obstetrics and Gynecology, 164, 785-790 (1991).
4. Luke, B. 'Maternal-fetal nutrition', Clinical Obstetrics and Gynecology, 37, 93-109 (1994).
5. Perkins, K. A. 'Weight gain following smoking cessation', Journal of Consulting and Clinical Psychology, 61, 768-777 (1993).
6. Hastie, T. J. and Tibshirani, R. J. 'Varying-coefficient models (with Discussion)', Journal of the Royal Statistical Society, Series B, 55, 757-798 (1993).
7. Matthews, J. N. S. 'A refinement to the analysis of serial data using summary measures, Statistics in Medicine, 12, 27-37 (1993).
8. Laird, N. M. and Ware, J. H. 'Random effects models for longitudinal data', Biometrics, 38, 963-974 (1982).
9. Reinsel, G. C. 'Mean square error properties of empirical Bayes estimators in a multivariate random effects general linear model', Journal of the American Statistical Association, 80, 642-650 (1985).
10. Cleveland, W. S. 'Robust locally weighted regressions and smoothing of scatterplots', Journal of the American Statistical Association, 74, 829-836 (1979).
11. Silverman, B. W. Density Estimation for Statistics and Data Analysis, Chapman and Hall, London, 1986.
12. Wahba, G. Spline Models for Observational Data, Society for Industrial and Applied Mathematics, Philadelphia, 1990.
13. Chambers, J. M. and Hastie, T. J. Statistical Models in S, Wadsworth, Pacific Grove, 1992.
14. Splus. Version 3.3., StatSci, a division of MathSoft, Inc., Seattle 1995.
15. McCullagh, P. and Nelder, J. Generalized Linear Models, 2nd edn, Chapman and Hall, London, 1989.
16. Friedman, J. H. 'A variable span smoother', Technical Report LCS5, Department of Statistics, Stanford University, 1984.
17. Hastie, T. J. and Tibshirani, R. J. Generalized Additive Models, Chapman and Hall, London, 1991.
18. Breiman, L., Friedman, J. H., Olshen, R. A. and Stone, C. J. Classification and Regression Trees, Wadsworth, Pacific Grove, 1984.
19. Robinson, L. D. and Jewell, N. P. 'Some surprising results about covariate adjustment in logistic regression models', International Statistical Review, 58, 227-240 (1991).
20. Buja, A. 'Remarks on functional canonical variates, alternating least squares methods and ACE', Annals of Statistics, 18, 1032-1069 (1990).
21. Leurgans, S. E., Moyeed, R. A. and Silverman, B. W. 'Canonical correlation analysis when the data are curves', Journal of the Royal Statistical Society, Series B, 55, 725-740 (1993).