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Publication: , 1930
URN: urn:nbn:de:kobv:109-1-3955025
Path:
Volume Teil I. Einwohner Berlins L Lem

Journal of causal inference

Periodical

Title:
Journal of causal inference
Publication:
Berlin: ˜deœ Gruyter
Note:
Gesehen am 28.07.14
Open Access
Namensnennung 4.0 International
C!z LF gelöscht(28-07-14)
Scope:
Online-Ressource
ISSN:
2193-3685
ZDB-ID:
2742570-8 ZDB
Keywords:
Zeitschrift
Classification:
Mathematik
Wirtschaft
Collection:
Mathematik
Wirtschaft
Copyright:
Rights reserved
Accessibility:
Free Access
Title:
Journal of causal inference
Publication:
Berlin: ˜deœ Gruyter
Note:
Gesehen am 28.07.14
Open Access
Namensnennung 4.0 International
C!z LF gelöscht(28-07-14)
Scope:
Online-Ressource
ISSN:
2193-3685
ZDB-ID:
2742570-8 ZDB
Keywords:
Zeitschrift
Classification:
Mathematik
Wirtschaft
Collection:
Mathematik
Wirtschaft
Copyright:
Rights reserved
Accessibility:
Free Access

Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection

Article

Author:
Lok, Judith J.
Title:
Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection
Publication:
Berlin: ˜deœ Gruyter, 2025
Language:
English
Information:
Abstract: Time-dependent coarse structural nested mean models (coarse SNMMs) were developed to estimate treatment effects from longitudinal observational data. Coarse SNMMs estimate the combined effect of multiple treatment dosages and are thus useful to estimate the effect of treatments that are initiated and then never stopped. Coarse SNMMs lead to a large class of estimators, with widely varying estimates and standard errors. To optimize precision, we derive an explicit solution for the optimal coarse SNMM estimator. We apply our methods by estimating how the effect on immune reconstitution of initiating 1 year of ART depends on the time between HIV infection and ART initiation, in the early stages of HIV infection. The CDC and the WHO are encouraging HIV testing, leading to earlier HIV diagnoses. Thus, more treatment decisions need to be made in early and acute infection. However, evidence is lacking about the clinical benefits of initiating ART in early and acute HIV infection, with guidelines developed mostly from analyzing patients with chronic infection. In the simulations and our motivating HIV application, naive coarse SNMM estimators render useless inference, whereas our new fitting methods render informative analyses. We thus hope that this article leads to broader applicability of SNMMs.
Scope:
Online-Ressource
Note:
Open Access
Archivierung/Langzeitarchivierung gewährleistet
Keywords:
doubly robust estimation ; early HIV detection ; HIV/AIDS ; structural nested models ; 62L12 ; 62L10 ; 62M10 ; 62P10
Classification:
Mathematik
Wirtschaft
Sonstiges
URN:
urn:nbn:de:101:1-2502120447352.416979487136
Collection:
Mathematik
Wirtschaft
Sonstiges
Copyright:
CC BY
Accessibility:
Free Access
Author:
Lok, Judith J.
Title:
Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection
Publication:
Berlin: ˜deœ Gruyter, 2025
Language:
English
Information:
Abstract: Time-dependent coarse structural nested mean models (coarse SNMMs) were developed to estimate treatment effects from longitudinal observational data. Coarse SNMMs estimate the combined effect of multiple treatment dosages and are thus useful to estimate the effect of treatments that are initiated and then never stopped. Coarse SNMMs lead to a large class of estimators, with widely varying estimates and standard errors. To optimize precision, we derive an explicit solution for the optimal coarse SNMM estimator. We apply our methods by estimating how the effect on immune reconstitution of initiating 1 year of ART depends on the time between HIV infection and ART initiation, in the early stages of HIV infection. The CDC and the WHO are encouraging HIV testing, leading to earlier HIV diagnoses. Thus, more treatment decisions need to be made in early and acute infection. However, evidence is lacking about the clinical benefits of initiating ART in early and acute HIV infection, with guidelines developed mostly from analyzing patients with chronic infection. In the simulations and our motivating HIV application, naive coarse SNMM estimators render useless inference, whereas our new fitting methods render informative analyses. We thus hope that this article leads to broader applicability of SNMMs.
Scope:
Online-Ressource
Note:
Open Access
Archivierung/Langzeitarchivierung gewährleistet
Keywords:
doubly robust estimation ; early HIV detection ; HIV/AIDS ; structural nested models ; 62L12 ; 62L10 ; 62M10 ; 62P10
Classification:
Mathematik
Wirtschaft
Sonstiges
URN:
urn:nbn:de:101:1-2502120447352.416979487136
Collection:
Mathematik
Wirtschaft
Sonstiges
Copyright:
CC BY
Accessibility:
Free Access
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