Selected article for: "Cox proportional hazard model and proportional hazard model"

Author: Tian Gu; Qiao Chu; Zhangsheng Yu; Botao Fa; Anqi Li; Lei Xu; Ruijun Wu; Yaping He
Title: History of Coronary Heart Disease Increases the Mortality Rate of Coronavirus Disease 2019 (COVID-19) Patients: A Nested Case-Control Study Based on Publicly Reported Confirmed Cases in Mainland China
  • Document date: 2020_3_27
  • ID: nrdiqees_22
    Snippet: In order to utilize the time-to-event information under the NCC design, the inverse probability weighting Cox proportional hazard regression model was employed [32] . The matching between cases and controls, and relative weights were simultaneously obtained via KMprob function in multipleNCC R package [31] , by specifying the Kaplan-Meier type weights with additional matching on gender and age ±1 year old. Only survivors were assigned weights, A.....
    Document: In order to utilize the time-to-event information under the NCC design, the inverse probability weighting Cox proportional hazard regression model was employed [32] . The matching between cases and controls, and relative weights were simultaneously obtained via KMprob function in multipleNCC R package [31] , by specifying the Kaplan-Meier type weights with additional matching on gender and age ±1 year old. Only survivors were assigned weights, All rights reserved. No reuse allowed without permission.

    Search related documents:
    Co phrase search for related documents
    • age gender and control case matching: 1
    • age gender and Cox proportional hazard regression model: 1, 2, 3, 4, 5
    • age gender and event time: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • age gender and hazard regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
    • age gender and hazard regression model: 1, 2, 3, 4, 5, 6, 7
    • age gender and inverse probability: 1, 2, 3, 4, 5, 6, 7
    • control case and event time: 1, 2
    • control case and hazard regression: 1, 2
    • control case and inverse probability: 1, 2, 3, 4, 5, 6
    • control case and NCC design: 1
    • Cox proportional hazard regression model and event time: 1
    • Cox proportional hazard regression model and hazard regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • Cox proportional hazard regression model and hazard regression model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • event time and hazard regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • event time and hazard regression model: 1, 2
    • event time and inverse probability: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17
    • event time information and hazard regression: 1
    • hazard regression and inverse probability: 1, 2, 3