Works Published in 2007

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Displaying all 6 works

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2007 journal article

Comment: Demystifying Double Robustness: A Comparison of Alternative Strategies for Estimating a Population Mean from Incomplete Data

Statistical Science, 22(4), 569–573.

By: A. Tsiatis & M. Davidian*

TL;DR: This discussion aims to complement the presentation of the authors by elaborating on the view from the vantage point of semi-parametric theory, focusing on the assumptions embedded in the statistical models leading to different “types” of estimators rather than on the forms of the estimators themselves. (via Semantic Scholar)
Sources: Crossref, ORCID
Added: January 24, 2020

2007 journal article

Inference under right censoring for transformation models with a change-point based on a covariate threshold

The Annals of Statistics, 35(3), 957–989.

By: M. Kosorok & R. Song*

author keywords: change-point models; empirical processes; nonparametric maximum; likelihood; proportional hazards model; proportional odds model; right censoring; semiparametric efficiency; transformation models
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, ORCID
Added: January 20, 2020

2007 journal article

Robust Covariate-Adjusted Log-Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data

Biometrics, 64(3), 741–750.

author keywords: local alternative; log-rank statistic; power; proportional means; recurrent events data; sample size
MeSH headings : Analysis of Variance; Biometry / methods; Clinical Trials as Topic / statistics & numerical data; Cystic Fibrosis / drug therapy; Data Interpretation, Statistical; Deoxyribonuclease I / therapeutic use; Humans; Models, Statistical; Randomized Controlled Trials as Topic / statistics & numerical data; Recombinant Proteins / therapeutic use; Sample Size; Survival Analysis
TL;DR: Robust covariate‐adjusted log‐rank statistics applied to recurrent events data with arbitrary numbers of events under independent censoring and the corresponding sample size formula are developed. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Crossref, ORCID
Added: January 20, 2020

2007 journal article

Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data

COMPUTATIONAL STATISTICS & DATA ANALYSIS, 51(12), 5776–5790.

By: E. Li*, D. Zhang n & M. Davidian n

author keywords: conditional score; generalized linear model; mixed effects model; pseudo-likelihood; seminonparametric density
TL;DR: A semiparametric joint model is considered that makes only mild assumptions on this distribution and likelihood-based inference on the association and distribution is developed, which offers improved performance relative to existing methods that is insensitive to the true random effects distribution. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 journal article

Using mathematical modeling and control to develop structured treatment interruption strategies for HIV infection

DRUG AND ALCOHOL DEPENDENCE, 88, S41–S51.

author keywords: STI; CD4; HIV dynamics; drug resistance; viral load
MeSH headings : CD4 Antigens / immunology; HIV Infections / drug therapy; HIV Infections / immunology; Humans; Models, Theoretical
TL;DR: It is argued that the most promising STI strategies are adaptive treatment strategies, which involve cycles of treatment withdrawal and re-initiation and that, when such mathematical representations of processes underlying a disease or disorder are available, they can be an important tool for suggesting adaptive treatment Strategies for clinical study. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2007 journal article

Estimation and prediction with HIV-treatment interruption data

BULLETIN OF MATHEMATICAL BIOLOGY, 69(2), 563–584.

By: B. Adams n, H. Banks n, M. Davidian n & E. Rosenberg*

author keywords: HIV models; treatment interruptions; censored data; parameter estimation; prediction
MeSH headings : Antiretroviral Therapy, Highly Active / methods; CD4 Lymphocyte Count; Cohort Studies; Data Interpretation, Statistical; Drug Administration Schedule; HIV Infections / drug therapy; HIV Infections / immunology; HIV-1; Humans; Longitudinal Studies; Models, Biological; Predictive Value of Tests; Viral Load
TL;DR: This work uses a nonlinear dynamical mathematical model in attempts to fit individual patient data for HIV patients undergoing treatment interruptions using a statistically-based censored data method and inverse problem techniques to estimate dynamic parameters. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: August 6, 2018

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