A poisson process approach for recurrent event data with environmental covariates

Environmetrics

Volumn 11, Issue 6, 2000, Pages 665-673

  Dewanji, Anup ^a   Moolgavkar, Suresh H ^b  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b Fred Hutchinson Cancer Research Center   (United States)

Author keywords

Case crossover design; Chronic respiratory disease; Conditional likelihood analysis; Environmental covariates; Recurrent event data

Indexed keywords

EID: 0034543640     PISSN: 11804009     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-095X(200011/12)11:6<665::AID-ENV432>3.0.CO;2-L     Document Type: Article

References (14)

1. Covariance analysis of censored survival data
2. Partial likelihood
3. Application of likelihood methods to models involving large number of parameters
4. Some simple robust methods for the analysis of recurrent events
5. Air pollution, pollens, and respiratory admissions for chronic obstructive pulmonary disease in King County
6. Bidirectional case-crossover designs for exposures with time trends
7. Some graphical displays and marginal regression analyses for recurrent failure times and time dependent covariates
8. On the regression analysis of multivariate failure time data
9. Air pollution and daily mortality in Birmingham,, Alabama
10. Air pollution and hospital admissions for the elderly in Birmingham, Alabama
11. Effects of ambient air pollution on nonelderly asthma hospital admissions in Seattle, Washington, 1987-1994
12. Regression analysis of multivariate incomplete failure time data by modeling marginal disiributions