
doi: 10.2307/2533192
pmid: 7916217
Nonidentified response (NR), an important form of nonindependent censoring, is modelled in a proportional hazards setting. Methods to test for existence of and identify NR censored observations are developed. Incorporation of NR censoring information into appropriate algorithms can improve parameter and underlying baseline hazard estimation. Application to estimating time until death from AIDS is made.
CD4-Positive T-Lymphocytes, Male, Biometry, Time Factors, conditional likelihood function, Applications of statistics to biology and medical sciences; meta analysis, survival analysis, censored observations, Leukocyte Count, Humans, nonidentified response, Probability, Proportional Hazards Models, Acquired Immunodeficiency Syndrome, misclassification, dependent censoring, covariates, proportional hazards, Survival Analysis, AIDS, classification, Baltimore, HIV-1, estimating time until death, nonindependent censoring, Algorithms
CD4-Positive T-Lymphocytes, Male, Biometry, Time Factors, conditional likelihood function, Applications of statistics to biology and medical sciences; meta analysis, survival analysis, censored observations, Leukocyte Count, Humans, nonidentified response, Probability, Proportional Hazards Models, Acquired Immunodeficiency Syndrome, misclassification, dependent censoring, covariates, proportional hazards, Survival Analysis, AIDS, classification, Baltimore, HIV-1, estimating time until death, nonindependent censoring, Algorithms
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