Epidemiologic Approaches for Studying Recurrent Pregnancy Outcomes: Challenges and Implications for Research

Seminars in Perinatology

Volumn 31, Issue 3, 2007, Pages 196-201

  Ananth, Cande V ^a  

^a ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

Author keywords

case crossover design; clustered data; cohort studies; epidemiology; heterogeneity; prospective cohort; recurrence risk

Indexed keywords

ENVIRONMENTAL FACTOR; FEMALE; HUMAN; MATERNAL HYPERTENSION; PREECLAMPSIA; PREGNANCY COMPLICATION; PREGNANCY DIABETES MELLITUS; PREGNANCY OUTCOME; PREMATURE LABOR; PRIORITY JOURNAL; RECURRENCE RISK; REVIEW;

EPIDEMIOLOGIC STUDIES; FEMALE; HUMANS; PREGNANCY; PREGNANCY COMPLICATIONS; PREGNANCY OUTCOME; RECURRENCE; RESEARCH DESIGN;

EID: 34248679628     PISSN: 01460005     EISSN: None     Source Type: Journal    
DOI: 10.1053/j.semperi.2007.03.008     Document Type: Review

References (32)

1. Ananth CV: Second International Symposium on Successive Pregnancy Outcomes: a decade of progress. Paediatr Perinat Epidemiol 21(Suppl) 2007, in press
2. Wilcox AJ: The analysis of recurrence risks as an epidemiologic tool. Paediatr Perinat Epidemiol 21(Suppl) 2007, in press
3. Berkowitz G.S., Blackmore-Prince C., Lapinski R.H., et al. Risk factors for preterm birth subtypes. Epidemiology 9 (1998) 279-285
4. Savitz D.A., Blackmore C.A., and Thorp J.M. Epidemiologic characteristics of preterm delivery: etiologic heterogeneity. Am J Obstet Gynecol 164 (1991) 467-471
5. Ananth C.V., Platt R.W., and Savitz D.A. Regression models for clustered binary responses: implications of ignoring the intracluster correlation in an analysis of perinatal mortality in twin gestations. Ann Epidemiol 15 (2005) 293-301
6. Ananth C.V., and Vintzileos A.M. Maternal-fetal conditions necessitating a medical intervention resulting in preterm birth. Am J Obstet Gynecol 195 (2006) 1557-1563
7. Ananth C.V., Getahun D., Peltier M.R., et al. Recurrence of spontaneous versus medically indicated preterm birth. Am J Obstet Gynecol 195 (2006) 643-650
8. Basso O: Options and limitations in studies of successive pregnancy outcomes: an overview. Paediatr Perinat Epidemiol 21(Suppl) 2007, in press
9. Wilcox A.J., Skjaerven R., and Irgens L.M. Harsh social conditions and perinatal survival: an age-period-cohort analysis of the World War II occupation of Norway. Am J Public Health 84 (1994) 1463-1467
10. Ananth C.V., Wilcox A.J., Savitz D.A., et al. Effect of maternal age and parity on the risk of uteroplacental bleeding disorders in pregnancy. Obstet Gynecol 88 (1996) 511-516
11. Basso O., Olsen J., Knudsen L.B., et al. Low birth weight and preterm birth after short interpregnancy intervals. Am J Obstet Gynecol 178 (1998) 259-263
12. Smith G.C., Pell J.P., and Dobbie R. Interpregnancy interval and risk of preterm birth and neonatal death: retrospective cohort study. Br Med J 327 (2003) 313
13. Zhu B.P., Rolfs R.T., Nangle B.E., et al. Effect of the interval between pregnancies on perinatal outcomes. N Engl J Med 340 (1999) 589-594
14. Conde-Agudelo A., Rosas-Bermudez A., and Kafury-Goeta A.C. Birth spacing and risk of adverse perinatal outcomes: a meta-analysis. J Am Med Assoc 295 (2006) 1809-1823
15. Resnik R. Intrauterine growth restriction. Obstet Gynecol 99 (2002) 490-496
16. Maclure M. The case-crossover design: a method for studying transient effects on the risk of acute events. Am J Epidemiol 133 (1991) 144-153
17. Maclure M., and Mittleman M.A. Should we use a case-crossover design?. Annu Rev Public Health 21 (2000) 193-221
18. Greenland S., and Rothman K.J. Measures of effect and measures of association. In: Rothman K.J., and Greenland S. (Eds). Modern Epidemiology. 2 (1998), Lippincott Williams & Wilkins, Philadelphia, PA 47-64
19. Warner L., Macaluso M., Austin H.D., et al. Application of the case-crossover design to reduce unmeasured confounding in studies of condom effectiveness. Am J Epidemiol 161 (2005) 765-773
20. Bodnar L.M., Davidian M., Siega-Riz A.M., et al. Marginal structural models for analyzing causal effects of time-dependent treatments: an application in perinatal epidemiology. Am J Epidemiol 159 (2004) 926-934
21. Robins J.M., Hernan M.A., and Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 11 (2000) 550-560
22. Wilcox A.J., and Gladen B.C. Spontaneous abortion: the role of heterogeneous risk and selective fertility. Early Hum Dev 7 (1982) 165-178
23. Skjaerven R., Wilcox A.J., Lie R.T., et al. Selective fertility and the distortion of perinatal mortality. Am J Epidemiol 128 (1988) 1352-1363
24. Lydon-Rochelle M., Holt V.L., Easterling T.R., et al. Risk of uterine rupture during labor among women with a prior cesarean delivery. N Engl J Med 345 (2001) 3-8
25. Kinzler WL, Kaminsky L: Fetal growth restriction and subsequent pregnancy risks. Semin Perinatol 2007, in press
26. Liang K.Y., and Zeger S.L. Regression analysis for correlated data. Annu Rev Public Health 14 (1993) 43-68
27. Zeger S.L., and Liang K.Y. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42 (1986) 121-130
28. Liang K.-Y., and Zeger S.L. Longitudinal data analysis using generalized linear models. Biometrika 73 (1986) 13-22
29. Louis G.B., Dukic V., Heagerty P.J., et al. Analysis of repeated pregnancy outcomes. Stat Methods Med Res 15 (2006) 103-126
30. Zeger S.L., and Liang K.Y. An overview of methods for the analysis of longitudinal data. Stat Med 11 (1992) 1825-1839
31. Zeger S.L., Liang K.Y., and Albert P.S. Models for longitudinal data: a generalized estimating equation approach. Biometrics 44 (1988) 1049-1060
32. Smulian JC: Research on recurrent pregnancy complications: a clinician's perspective. Paediatr Perinat Epidemiol Suppl 2007, in press