Estimation of lag time between onset of and death from an occult tumor

被引:1
作者
Ahn, Hongshik [1 ]
Moon, Hojin [2 ]
Kodell, Ralph L. [3 ]
机构
[1] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[2] Calif State Univ Long Beach, Dept Math & Stat, Long Beach, CA 90840 USA
[3] Univ Arkansas Med Sci, Dept Biostat, Little Rock, AR 72205 USA
关键词
bioassay; cause of death; likelihood; sacrifice; tumor lethality;
D O I
10.1080/10543400802287453
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
A new statistical method for estimating the lag time between onset of and death from an occult tumor is proposed for data without cause-of-death information. In this method, the survival function for time to tumor onset, tumor-specific survival function, and competing risks survival function are estimated using the maximum likelihood estimates of the parameters. The proposed method utilizes the estimated survival functions and statistically imputed fatal tumors to estimate the lag time. This approach is developed for rodent tumorigenicity assays that have at least one interim sacrifice and a terminal sacrifice. If the data contain cause-of-death information given by pathologists and it is believed to be reliable, it may be used for estimating the lag time. The proposed method is illustrated using a real data set. The accuracy of the estimation of lag time is evaluated via a Monte Carlo simulation study. This study shows that the estimated lag time is quite reliable.
引用
收藏
页码:901 / 914
页数:14
相关论文
共 10 条
[1]   Attribution of tumour lethality and estimation of the time to onset of occult tumours in the absence of cause-of-death information [J].
Ahn, H ;
Moon, H .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2000, 49 :157-169
[2]   EFFECTS OF TREATMENT-INDUCED MORTALITY AND TUMOR-INDUCED MORTALITY ON TESTS FOR CARCINOGENICITY IN SMALL SAMPLES [J].
BAILER, AJ ;
PORTIER, CJ .
BIOMETRICS, 1988, 44 (02) :417-431
[3]   A dose-response test via closed-form solutions for constrained MLEs in survival/sacrifice experiments [J].
Kim, Wonkuk ;
Ahn, Hongshik ;
Moon, Hojin .
STATISTICS IN MEDICINE, 2007, 26 (03) :694-708
[4]   An age-adjusted trend test for the tumor incidence rate for multiple-sacrifice experiments [J].
Kodell, RL ;
Ahn, H .
BIOMETRICS, 1997, 53 (04) :1467-1474
[5]   AN ILLNESS-DEATH MODEL FOR THE STUDY OF THE CARCINOGENIC PROCESS USING SURVIVAL-SACRIFICE DATA [J].
KODELL, RL ;
NELSON, CJ .
BIOMETRICS, 1980, 36 (02) :267-277
[6]  
Lagakos S.W, 1982, UTILITAS MATH B, V21B, P239
[7]  
LAGAKOS SW, 1988, APPL STATIST, V37, P169
[8]   COMPARISON OF 2 TREATMENTS IN ANIMAL CARCINOGENICITY EXPERIMENTS [J].
MALANI, HM ;
VANRYZIN, J .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1988, 83 (404) :1171-1177
[9]   Extension of Peto's test by attribution of tumor lethality in the absence of cause-of-death information [J].
Moon, H ;
Ahn, H ;
Kodell, RL .
BIOMETRICAL JOURNAL, 2002, 44 (08) :982-1001
[10]   NONPARAMETRIC-ESTIMATION OF THE SURVIVAL FUNCTION WHEN CAUSE OF DEATH IS UNCERTAIN [J].
RACINEPOON, AH ;
HOEL, DG .
BIOMETRICS, 1984, 40 (04) :1151-1158