Assessing the effect of vaccine on spontaneous abortion using time-dependent covariates Cox models

Pharmacoepidemiology and Drug Safety

Volumn 21, Issue 8, 2012, Pages 844-850

  Xu, Ronghui ^a   Luo, Yunjun ^a   Chambers, Christina ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Cox proportional hazards regression model; H1N1 vaccine; Left truncation; Pharmacoepidemiology; Spontaneous abortion; Survival analysis; Time dependent covariates

Indexed keywords

INFLUENZA VACCINE;

ARTICLE; CONTROLLED STUDY; DRUG EFFECT; FEMALE; HUMAN; INFLUENZA A (H1N1); PREGNANCY; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; SPONTANEOUS ABORTION; SURVIVAL; VACCINATION;

ABORTION, SPONTANEOUS; FEMALE; GESTATIONAL AGE; HEALTH SURVEYS; HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; INFLUENZA VACCINES; KAPLAN-MEIER ESTIMATE; PREGNANCY; PROPORTIONAL HAZARDS MODELS; RISK FACTORS; TIME FACTORS;

EID: 84864332603     PISSN: 10538569     EISSN: 10991557     Source Type: Journal    
DOI: 10.1002/pds.3301     Document Type: Article

References (16)

1. Xu R, Chambers C. A sample size calculation for spontaneous abortion in observational studies. Reprod Toxicol 2011; 32: 490-493.
2. Sammon C, McGrogan A, Snowball J, de Vries C. Swine flu vaccination in pregnancy and associated miscarriage risk. Pharmacoepidemiol Drug Saf 2011; 20: S58-S59.
3. Beyersmann J, Wolkewitz M, Schumacher M. The impact of time-dependent bias in proportional hazards modelling. Stat Med 2008; 27: 6439-6454.
4. O'Neill M, Hertz-Picciotto I, pastore L, Weatherley B. Have studies of urinary tract infection and preterm delivery used the most appropriate methods? Paediatr Perinat Epidemiol 2003; 17: 226-233.
5. Cox DR. Regression models and life tables (with discussion). J Roy Stat Soc B 1972; 34: 187-220.
6. Cox DR. Partial likelihood. Biometrika 1975; 62: 269-276.
7. Andersen PK, Gill RD. Cox's regression model for counting processes: a large sample study. Ann Stat 1982; 10: 1100-20.
8. Cox DR, Isham V. Point Processes. Chapman & Hall: London, UK, 1980.
9. Meister R, Schaefer C. Statistical methods for estimating the probability of spontaneous abortion in observational studies - analyzing pregnancies exposed to coumarin derivatives. Reprod Toxicol 2008; 26: 31-35.
10. Robins J, Tsiatis AA. Semiparametric estimation of an accelerated failure time modek with time-dependent covariates. Biometrika 1992; 79: 311-319.
11. Xu R, O'Quigley J. Estimating average regression effect under non-proportional hazards. Biostatistics 2000; 1: 423-439.
12. Gray RJ. Flexible methods for analyzing survival data using splines, wich applications to breast cancer prognosis. J Am Stat Assoc 1992; 87: 942-951.
13. Xu R, Adak S. Survival analysis with time-varying regression effects using a tree-based approach. Biometrics 2002; 58: 305-315.
14. Li YP, Propert KJ, Rosenbaum PR. Balanced risk set matching. J Am Stat Assoc 2001; 96: 870-882.
15. Cleves MA, Gould WG, Gutierrez R. An Introduction To Survival Analysis Using Stata (Revised Edn). StataPress, College Station: TX, USA, 2004.
16. Allison PD. Survival Analysis Using the SAS System: a Practical Guide. SAS Institute, Inc.: Cary, North Carolina, USA, 1995.