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Applied Science & Technology Full Text (H.W. Wilson)

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Phase-type distributions for product return data with two-layer censoring.

• Authors : Wang, Yudong; Ye, Zhi-Sheng

Subjects: PRODUCT returns; MAXIMUM likelihood statistics; CENSORSHIP

• Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Nov2023, Vol. 72 Issue 5, p1475-1492, 18p

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General independent censoring in event‐driven trials with staggered entry.

• Authors : Rühl, Jasmin; Beyersmann, Jan; Friedrich, Sarah

Subjects: NON-small-cell lung carcinoma; CENSORSHIP; CLINICAL trials

• Source: Biometrics; Sep2023, Vol. 79 Issue 3, p1737-1748, 12p

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A parametric competing risks regression model with unknown dependent censoring.

• Authors : Lo, Simon M S; Wilke, Ralf A

Subjects: REGRESSION analysis; COMPETING risks; JOB applications

• Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Aug2023, Vol. 72 Issue 4, p1079-1093, 15p

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Nonparametric estimation in an illness‐death model with component‐wise censoring.

• Authors : Eaton, Anne; Sun, Yifei; Neaton, James

Subjects: NONPARAMETRIC estimation; CENSORSHIP; CORONARY disease

• Source: Biometrics; Sep2022, Vol. 78 Issue 3, p1168-1180, 13p

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Applied Science & Technology Full Text (H.W. Wilson)

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On the efficiency of type I censored samples.

• Authors : Kittaneh, Omar A; Almorad, Heba; Helal, Sara

Subjects: CENSORSHIP; DISTRIBUTION (Probability theory); CENSORING (Statistics)

• Source: IMA Journal of Mathematical Control & Information; Jun2021, Vol. 38 Issue 2, p743-753, 11p

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Discussion of 'Nonparametric generalized fiducial inference for survival functions under censoring'.

• Authors : Martin, Ryan¹ (AUTHOR)

Subjects: *CENSORING (Statistics); *CENSORSHIP; *RANDOM sets

• Source: Biometrika. Sep2019, Vol. 106 Issue 3, p519-522. 4p.

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Stacked inverse probability of censoring weighted bagging: A case study in the InfCareHIV Register.

• Authors : Gonzalez Ginestet, Pablo; Kotalik, Ales; Vock, David M.

Subjects: RECEIVER operating characteristic curves; PROBABILITY theory; CENSORSHIP

• Source: Journal of the Royal Statistical Society: Series C (Applied Statistics); Jan2021, Vol. 70 Issue 1, p51-65, 15p

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Applied Science & Technology Full Text (H.W. Wilson)

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