Nonparametric and semiparametric trend analysis for stratified recurrence times

Biometrics

Volumn 56, Issue 3, 2000, Pages 789-794

  Wang, Mei Cheng ^a   Chen, Ying Qing ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Accelerated failure time model; Comparable recurrence times; Longitudinal studies; Recurrent event data; Truncation

Indexed keywords

ACCELERATED FAILURE TIME MODEL; COMPARABLE RECURRENCE TIME; FAILURE TIME; LONGITUDINAL STUDY; NONPARAMETRICS; RECURRENCE TIME; RECURRENT EVENT DATUM; SEMIPARAMETRIC; TIME MODELING; TRUNCATION;

REGRESSION ANALYSIS;

ARTICLE; COHORT ANALYSIS; DATA ANALYSIS; FOLLOW UP; HOSPITALIZATION; LONGITUDINAL STUDY; OUTCOMES RESEARCH; SAMPLING; SCHIZOPHRENIA; SURVIVAL;

EID: 0033856782     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2000.00789.x     Document Type: Article

References (15)

1. Statistical analysis of repeated events forming renewal processes
2. Efficient utilization of non-numerical information in quantitative analysis: General theory and the case of simple order
3. Nonparametric estimation of the slope of a truncated regression
4. Conditional regression analysis for recurrence time data
5. Long-term course of hospitalization for schizophrenia: Part II. Change with passage of time
6. Nonparametric methods for doubly truncated data
7. An analysis of comparative carcinogenesis experiments based on multiple times to tumor
8. Linear rank statistics in regression analysis with censored or truncated data
9. Random effects models for longitudinal data
10. On the regression analysis of multivariate failure time data
11. The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
12. Simultaneous estimation of parameters in different linear models and application to biometric problems
13. Nonparametric estimation of a recurrent survival function