Results 221 to 230 of about 2,396,506 (265)

Appetite gene expression and gut microbiota in broiler chickens with varying body weights: a new perspective on flock uniformity. [PDF]

Poult Sci
Choi J, Goo D, Kim WK.
europepmc   +1 more source

Correction: The impact of X chromosome inactivation on human health. [PDF]

Front Genet
Gu J, Chen Q.
europepmc   +1 more source

Association of the PROC rs146922325 variant with venous thrombosis in a Taiwanese population. [PDF]

Blood Res
Chen CY, Chen IC, Lin GC, Hsiao TH, Wang JD.   +4 more
europepmc   +1 more source

Diffusion Posterior Sampling for Tomographic Reconstruction with Mixed Resolution Priors. [PDF]

Proc SPIE Int Soc Opt Eng
Teng P, Stayman JW.
europepmc   +1 more source

In This Issue. [PDF]

Proc Natl Acad Sci U S A
europepmc   +1 more source

Bivariate Linear Mixed Models Using SAS Proc MIXED [PDF]

Computer Methods and Programs in Biomedicine, 2002
Bivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effects or first-order auto-regressive process and independent measurement error for both markers.
Rodolphe Thiébaut, Hélène Jacqmin-Gadda, Genevieve Chene   +2 more
exaly   +9 more sources

On Using Proc Mixed for Longitudinal Data [PDF]

Conference on Applied Statistics in Agriculture, 1999
PROC MIXED has become a standard tool for analyzing repeated measures data. Its popularity results from a wide choice of correlated error models compared to other software, e.g. PROC GLM. However, PROC MIXED\u27s versatility comes at a price.
Walter W Stroup
exaly   +4 more sources

Using SAS PROC MIXED to Demystify the Hierarchical Linear Model [PDF]

Journal of Experimental Education, 1997
Abstract Hierarchical data analyses in different disciplines are reviewed to compare statistical applications of the Hierarchical Linear Model (HLM) software and the SAS MIXED procedure. Similar features of the 2 programs are illustrated through use of the SAS MIXED procedure to confirm an HLM example.
Jianjun Wang
exaly   +3 more sources

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An Example of Using Mixed Models and Proc Mixed for Longitudinal Data

Journal of Biopharmaceutical Statistics, 1997
Longitudinal data, or data that are repeated measurements on various subjects across time, are commonplace in biostatistical studies. The general linear mixed model is a useful statistical tool for analyzing such data and drawing meaningful inferences about them.
Russ Wolfinger
exaly   +3 more sources