A practical overview and statistical analysis of interval-censored data in cancer

Tanujit Dey; Stuart Lipsitz; Zara Cooper; Debajyoti Sinha; Quoc-Dien Trinh; Alexander Cole; Timothy N. Clinton

doi:10.1002/cac2.70073

Cancer Communications ›› 2025, Vol. 45 ›› Issue (12) :1666 -1669. DOI: 10.1002/cac2.70073

LETTER TO THE JOURNAL

A practical overview and statistical analysis of interval-censored data in cancer

Author information +

History +

PDF

Cite this article

Download citation ▾

Tanujit Dey, Stuart Lipsitz, Zara Cooper, Debajyoti Sinha, Quoc-Dien Trinh, Alexander Cole, Timothy N. Clinton. A practical overview and statistical analysis of interval-censored data in cancer. Cancer Communications, 2025, 45(12): 1666-1669 DOI:10.1002/cac2.70073

登录浏览全文

4963

注册一个新账户忘记密码

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Peto R. Experimental survival curves for interval-censored data. J R Stat Soc Series C (Applied Statistics). 1973;22(1):86-91.

[2]	Turnbull BW. The Empirical Distribution Function with Arbitrarily Grouped, Censored and Truncated Data. J R Stat Soc Series B Stat Methodol. 1976;38(3):290-5.

[3]	Sun J. The statistical analysis of interval-censored failure time data. New York, NY: Springer New York; 2006.

[4]	Liu H, Shen Y. A semiparametric regression cure model for interval-censored data. J Am Statist Assoc. 2009;104(487):1168-78.

[5]

Messing EM, Tangen CM, Lerner SP, Sahasrabudhe DM, Koppie TM, Wood DP, et al. Effect of intravesical instillation of gemcitabine vs saline immediately following resection of suspected low-grade non–muscle-invasive bladder cancer on tumor recurrence: SWOG S0337 randomized clinical trial. JAMA. 2018;319(18):1880-8.