Pseudo-observations in survival analysis

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Standard

Pseudo-observations in survival analysis. / Andersen, Per Kragh; Perme, Maja Pohar.

I: Statistical Methods in Medical Research, Bind 19, Nr. 1, 2010, s. 71-99.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Andersen, PK & Perme, MP 2010, 'Pseudo-observations in survival analysis', Statistical Methods in Medical Research, bind 19, nr. 1, s. 71-99. https://doi.org/10.1177/0962280209105020

APA

Andersen, P. K., & Perme, M. P. (2010). Pseudo-observations in survival analysis. Statistical Methods in Medical Research, 19(1), 71-99. https://doi.org/10.1177/0962280209105020

Vancouver

Andersen PK, Perme MP. Pseudo-observations in survival analysis. Statistical Methods in Medical Research. 2010;19(1):71-99. https://doi.org/10.1177/0962280209105020

Author

Andersen, Per Kragh ; Perme, Maja Pohar. / Pseudo-observations in survival analysis. I: Statistical Methods in Medical Research. 2010 ; Bind 19, Nr. 1. s. 71-99.

Bibtex

@article{88971d108b5511df928f000ea68e967b,
title = "Pseudo-observations in survival analysis",
abstract = "We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competing risks cumulative incidence function. Graphical and numerical methods for assessing goodness-of-fit for hazard regression models and for the Fine-Gray model in competing risks studies based on pseudo-observations are also reviewed. Sensitivity to covariate-dependent censoring is studied. The methods are illustrated using a data set from bone marrow transplantation.",
author = "Andersen, {Per Kragh} and Perme, {Maja Pohar}",
note = "Keywords: Adult; Bone Marrow Transplantation; Female; Humans; Leukemia, Myeloid, Acute; Male; Middle Aged; Precursor Cell Lymphoblastic Leukemia-Lymphoma; Proportional Hazards Models; Regression Analysis; Risk Assessment; Survival Analysis; Survival Rate; Young Adult",
year = "2010",
doi = "10.1177/0962280209105020",
language = "English",
volume = "19",
pages = "71--99",
journal = "Statistical Methods in Medical Research",
issn = "0962-2802",
publisher = "SAGE Publications",
number = "1",

}

RIS

TY - JOUR

T1 - Pseudo-observations in survival analysis

AU - Andersen, Per Kragh

AU - Perme, Maja Pohar

N1 - Keywords: Adult; Bone Marrow Transplantation; Female; Humans; Leukemia, Myeloid, Acute; Male; Middle Aged; Precursor Cell Lymphoblastic Leukemia-Lymphoma; Proportional Hazards Models; Regression Analysis; Risk Assessment; Survival Analysis; Survival Rate; Young Adult

PY - 2010

Y1 - 2010

N2 - We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competing risks cumulative incidence function. Graphical and numerical methods for assessing goodness-of-fit for hazard regression models and for the Fine-Gray model in competing risks studies based on pseudo-observations are also reviewed. Sensitivity to covariate-dependent censoring is studied. The methods are illustrated using a data set from bone marrow transplantation.

AB - We review recent work on the application of pseudo-observations in survival and event history analysis. This includes regression models for parameters like the survival function in a single point, the restricted mean survival time and transition or state occupation probabilities in multi-state models, e.g. the competing risks cumulative incidence function. Graphical and numerical methods for assessing goodness-of-fit for hazard regression models and for the Fine-Gray model in competing risks studies based on pseudo-observations are also reviewed. Sensitivity to covariate-dependent censoring is studied. The methods are illustrated using a data set from bone marrow transplantation.

U2 - 10.1177/0962280209105020

DO - 10.1177/0962280209105020

M3 - Journal article

C2 - 19654170

VL - 19

SP - 71

EP - 99

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

SN - 0962-2802

IS - 1

ER -

ID: 20738642