model.tables.lmm

Export estimates, standard errors, degrees of freedom, confidence intervals (CIs) and p-values for the mean coefficients of a linear mixed model.

methods

Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers"
taught by the section of Biostatistics of the University of Copenhagen.
It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...).
Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom.
Normalized residuals are provided to assess model misspecification.
Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients.
Predictions can be computed conditional to covariates only or also to outcome values.

Brice Ozenne

LMMstar

Repeated Measurement Models for Discrete Times

Julie Forman

model.tables.lmm function

<dl><dt>x</dt>
<dd>a <code>lmm</code> object.</dd>
<dt>columns</dt>
<dd>[character vector] Columns to be output.
Can be any of <code>"estimate"</code>, <code>"se"</code>, <code>"statistic"</code>, <code>"df"</code>, <code>"null"</code>, <code>"lower"</code>, <code>"upper"</code>, <code>"p.value"</code>.</dd>
<dt>...</dt>
<dd>arguments to be passed to the <code>confint</code> method. Should not contain the argument <code>column</code>.</dd>
<dt>method</dt>
<dd>[character] type of adjustment for multiple comparisons, one of <code>"none"</code>, <code>"bonferroni"</code>, ..., <code>"fdr"</code>, <code>"single-step"</code>, <code>"single-step2"</code>.
Alternatively, method for combining the estimates, one of <code>"average"</code>, <code>"pool.se"</code>, <code>"pool.gls"</code>, <code>"pool.rubin"</code>.</dd></dl>

Arguments

Statistical Inference for Linear Mixed Model — model.tables.lmm

<dl>

<dt>x</dt>
<dd>a <code>lmm</code> object.</dd>


<dt>columns</dt>
<dd>[character vector] Columns to be output.
Can be any of <code>"estimate"</code>, <code>"se"</code>, <code>"statistic"</code>, <code>"df"</code>, <code>"null"</code>, <code>"lower"</code>, <code>"upper"</code>, <code>"p.value"</code>.</dd>


<dt>...</dt>
<dd>arguments to be passed to the <code>confint</code> method. Should not contain the argument <code>column</code>.</dd>


<dt>method</dt>
<dd>[character] type of adjustment for multiple comparisons, one of <code>"none"</code>, <code>"bonferroni"</code>, ..., <code>"fdr"</code>, <code>"single-step"</code>, <code>"single-step2"</code>.
Alternatively, method for combining the estimates, one of <code>"average"</code>, <code>"pool.se"</code>, <code>"pool.gls"</code>, <code>"pool.rubin"</code>.</dd>

</dl>

model.tables.lmm: Statistical Inference for Linear Mixed Model

Description

Usage

Arguments

Details