variance estimator Search Results


log-poisson model with robust error estimation sas proc genmod  (SAS institute)
90
SAS institute log-poisson model with robust error estimation sas proc genmod
Log Poisson Model With Robust Error Estimation Sas Proc Genmod, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariable poisson regression with a robust variance estimator  (SAS institute)
90
SAS institute multivariable poisson regression with a robust variance estimator
Multivariable Poisson Regression With A Robust Variance Estimator, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
multivariable poisson regression with a robust variance estimator - by Bioz Stars, 2026-04
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weighted least square with mean- and variance-adjusted chi-square test statistic (wlsmv) estimator  (CH Instruments)
90
CH Instruments weighted least square with mean- and variance-adjusted chi-square test statistic (wlsmv) estimator
Weighted Least Square With Mean And Variance Adjusted Chi Square Test Statistic (Wlsmv) Estimator, supplied by CH Instruments, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/weighted least square with mean- and variance-adjusted chi-square test statistic (wlsmv) estimator/product/CH Instruments
Average 90 stars, based on 1 article reviews
weighted least square with mean- and variance-adjusted chi-square test statistic (wlsmv) estimator - by Bioz Stars, 2026-04
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imputation and variance estimation software  (Wolters Kluwer Health)
90
Wolters Kluwer Health imputation and variance estimation software
Imputation And Variance Estimation Software, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/imputation and variance estimation software/product/Wolters Kluwer Health
Average 90 stars, based on 1 article reviews
imputation and variance estimation software - by Bioz Stars, 2026-04
90/100 stars
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simultaneous estimation of the mean and the variance in vae  (Skafte MedLab)
90
Skafte MedLab simultaneous estimation of the mean and the variance in vae
Simultaneous Estimation Of The Mean And The Variance In Vae, supplied by Skafte MedLab, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
simultaneous estimation of the mean and the variance in vae - by Bioz Stars, 2026-04
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heteroscedastic-consistent variance estimators from sas proc glimmix  (SAS institute)
90
SAS institute heteroscedastic-consistent variance estimators from sas proc glimmix
Heteroscedastic Consistent Variance Estimators From Sas Proc Glimmix, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/heteroscedastic-consistent variance estimators from sas proc glimmix/product/SAS institute
Average 90 stars, based on 1 article reviews
heteroscedastic-consistent variance estimators from sas proc glimmix - by Bioz Stars, 2026-04
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variance estimation, precision and comparison (vepac) package  (TIBCO)
90
TIBCO variance estimation, precision and comparison (vepac) package
Variance Estimation, Precision And Comparison (Vepac) Package, supplied by TIBCO, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/variance estimation, precision and comparison (vepac) package/product/TIBCO
Average 90 stars, based on 1 article reviews
variance estimation, precision and comparison (vepac) package - by Bioz Stars, 2026-04
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taylor series variance estimate (proc surveylogistic)  (SAS institute)
90
SAS institute taylor series variance estimate (proc surveylogistic)
Taylor Series Variance Estimate (Proc Surveylogistic), supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/taylor series variance estimate (proc surveylogistic)/product/SAS institute
Average 90 stars, based on 1 article reviews
taylor series variance estimate (proc surveylogistic) - by Bioz Stars, 2026-04
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weighted least squares mean and variance-adjusted (wlsmv) estimation method  (RStudio)
90
RStudio weighted least squares mean and variance-adjusted (wlsmv) estimation method
Weighted Least Squares Mean And Variance Adjusted (Wlsmv) Estimation Method, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/weighted least squares mean and variance-adjusted (wlsmv) estimation method/product/RStudio
Average 90 stars, based on 1 article reviews
weighted least squares mean and variance-adjusted (wlsmv) estimation method - by Bioz Stars, 2026-04
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robust variance estimation  (BOHER ARCHITECTURE LIMITED)
90
BOHER ARCHITECTURE LIMITED robust variance estimation
Asymptotic naive and <t>robust</t> standard errors of estimates of treatment effect under the <t>marginal</t> <t>model</t> (left panel) and partially conditional model (right panel) omitting a binary covariate Z as a function of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P(Z=1)$$\end{document} P ( Z = 1 ) ; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document} ϕ is the odds ratio of ( X , Z ); \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi = 2.0$$\end{document} ϕ = 2.0
Robust Variance Estimation, supplied by BOHER ARCHITECTURE LIMITED, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
robust variance estimation - by Bioz Stars, 2026-04
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empirical (huber–white sandwich) variance estimates  (SAS institute)
90
SAS institute empirical (huber–white sandwich) variance estimates
Asymptotic naive and <t>robust</t> standard errors of estimates of treatment effect under the <t>marginal</t> <t>model</t> (left panel) and partially conditional model (right panel) omitting a binary covariate Z as a function of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P(Z=1)$$\end{document} P ( Z = 1 ) ; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document} ϕ is the odds ratio of ( X , Z ); \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi = 2.0$$\end{document} ϕ = 2.0
Empirical (Huber–White Sandwich) Variance Estimates, supplied by SAS institute, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/empirical (huber–white sandwich) variance estimates/product/SAS institute
Average 90 stars, based on 1 article reviews
empirical (huber–white sandwich) variance estimates - by Bioz Stars, 2026-04
90/100 stars
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unbiased estimators of the variance of π  (Tajima Shoji Co Ltd)
90
Tajima Shoji Co Ltd unbiased estimators of the variance of π
Asymptotic naive and <t>robust</t> standard errors of estimates of treatment effect under the <t>marginal</t> <t>model</t> (left panel) and partially conditional model (right panel) omitting a binary covariate Z as a function of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P(Z=1)$$\end{document} P ( Z = 1 ) ; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document} ϕ is the odds ratio of ( X , Z ); \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi = 2.0$$\end{document} ϕ = 2.0
Unbiased Estimators Of The Variance Of π, supplied by Tajima Shoji Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/unbiased estimators of the variance of π/product/Tajima Shoji Co Ltd
Average 90 stars, based on 1 article reviews
unbiased estimators of the variance of π - by Bioz Stars, 2026-04
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Image Search Results


Asymptotic naive and robust standard errors of estimates of treatment effect under the marginal model (left panel) and partially conditional model (right panel) omitting a binary covariate Z as a function of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P(Z=1)$$\end{document} P ( Z = 1 ) ; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document} ϕ is the odds ratio of ( X , Z ); \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi = 2.0$$\end{document} ϕ = 2.0

Journal: Lifetime Data Analysis

Article Title: The effect of omitted covariates in marginal and partially conditional recurrent event analyses

doi: 10.1007/s10985-018-9430-y

Figure Lengend Snippet: Asymptotic naive and robust standard errors of estimates of treatment effect under the marginal model (left panel) and partially conditional model (right panel) omitting a binary covariate Z as a function of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$P(Z=1)$$\end{document} P ( Z = 1 ) ; \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi $$\end{document} ϕ is the odds ratio of ( X , Z ); \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\phi = 2.0$$\end{document} ϕ = 2.0

Article Snippet: The model-based naive variance \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\mathcal {A}}}^{-1}(\beta ^\dagger )$$\end{document} A - 1 ( β † ) will underestimate the variability of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{\beta }}$$\end{document} β ^ under a misspecified marginal model so robust variance estimation is recommended to ensure valid inference (Lin and Wei ; Bernardo and Harrington ; Boher and Cook ).

Techniques:

Estimates of treatment effect for cystic fibrosis trial using marginal and partially conditional models with four strata based on no events, 1 event, 2 events and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge 3$$\end{document} ≥ 3 events when ignoring or controlling for the centered forced expiratory volume (FEVC)

Journal: Lifetime Data Analysis

Article Title: The effect of omitted covariates in marginal and partially conditional recurrent event analyses

doi: 10.1007/s10985-018-9430-y

Figure Lengend Snippet: Estimates of treatment effect for cystic fibrosis trial using marginal and partially conditional models with four strata based on no events, 1 event, 2 events and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge 3$$\end{document} ≥ 3 events when ignoring or controlling for the centered forced expiratory volume (FEVC)

Article Snippet: The model-based naive variance \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\mathcal {A}}}^{-1}(\beta ^\dagger )$$\end{document} A - 1 ( β † ) will underestimate the variability of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{\beta }}$$\end{document} β ^ under a misspecified marginal model so robust variance estimation is recommended to ensure valid inference (Lin and Wei ; Bernardo and Harrington ; Boher and Cook ).

Techniques: