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An early first pregnancy is protective against postmenopausal breast cancer. However, pregnancy is also a key contributor to weight gain, and adult weight gain increases postmenopausal breast cancer risk. This prospective cohort study quantified the combined effect of adult weight gain and age at first pregnancy on postmenopausal breast cancer risk ...
Lee Malcomson +7 more
wiley +1 more source
Uncertainty persists over whether the benefits of prostate‐specific antigen (PSA) screening outweigh harms from overdiagnosis, a key barrier to population‐wide adoption. Here, English male mortality rates were analyzed alongside long‐term data from the UK Cluster Randomized Trial of PSA Testing for Prostate Cancer (CAP) to estimate age‐specific ...
Adam R. Brentnall +5 more
wiley +1 more source
Uncertainty has persisted over whether human papillomavirus (HPV) testing outperforms high‐quality cytology in real‐world cervical cancer screening programs. To address this, Denmark launched a nationwide trial in 2021, implementing an HPV‐based screening strategy using specialized algorithms integrated with molecular and cytology triage to optimize ...
Jesper Bonde +12 more
wiley +1 more source
Outcomes after resection of pancreatic ductal adenocarcinoma remain highly variable, and existing prognostic models lack sufficient accuracy. Here, the authors aimed to improve survival prediction by integrating transcriptome‐based subtyping into a validated clinical model and applying it to a multicenter real‐world cohort of fresh‐frozen resection ...
Marjolein F. Lansbergen +20 more
wiley +1 more source
Chemotherapy‐induced nausea and vomiting (CINV) remains a significant clinical problem despite modern antiemetics. In particular, antiemetic strategies for emerging cancer therapies lack detailed evaluation. This randomized trial analyzed hourly CINV data for patients with early breast cancer who received either docetaxel plus cyclophosphamide (TC) or ...
Manuel Hörner +16 more
wiley +1 more source
Estimation of the bivariate distribution function for interval censored data [comunicação oral]
Gustavo Soutinho +2 more
openalex +1 more source
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Bayesian transformation models with partly interval‐censored data
Statistics in Medicine, 2021In many scientific fields, partly interval‐censored data, which consist of exactly observed and interval‐censored observations on the failure time of interest, appear frequently. However, methodological developments in the analysis of partly interval‐censored data are relatively limited and have mainly focused on additive or proportional hazards models.
Chunjie Wang +2 more
openaire +3 more sources
Regression with Interval-Censored Data
Biometrika, 1995Summary: Interval-censored data result when survival times are not known exactly, but are only known to have occurred between intermittent examination times. Here the accelerated failure time model is treated for interval- censored data. A class of score statistics that may be used for estimation and confidence procedures is proposed.
Rabinowitz, Daniel +2 more
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Hazard Regression with Interval-Censored Data
Biometrics, 1997In a recent paper, Kooperberg, Stone, and Truong (1995a) introduced hazard regression (HARE), in which linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates.
Kooperberg, Charles +1 more
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Restricted mean survival time for interval‐censored data
Statistics in Medicine, 2020Restricted mean survival time (RMST) evaluates the mean event‐free survival time up to a prespecified time point. It has been used as an alternative measure of treatment effect owing to its model‐free structure and clinically meaningful interpretation of treatment benefit for right‐censored data.
Chenyang Zhang +2 more
openaire +2 more sources

