get_slope_diff

get_slope_diff.plcp

get_slope_diff.plcp_multi

A <code><a rd-options="" href="/link/study_parameters?package=powerlmm&version=0.4.0" data-mini-rdoc="powerlmm::study_parameters">study_parameters</a></code>-object.

object

Used internally to calculate the difference in change over time
between the two treatment groups.

Calculate power for the 'time x treatment' effect
in two- and three-level multilevel longitudinal studies with missing data.
Both the third-level factor (e.g. therapists, schools, or physicians),
and the second-level factor (e.g. subjects), can be assigned random slopes.
Studies with partially nested designs, unequal cluster sizes,
unequal allocation to treatment arms, and different dropout patterns
per treatment are supported. For all designs power can be
calculated both analytically and via simulations. The analytical
calculations extends the method described in Galbraith et al. (2002)
<doi:10.1016/S0197-2456(02)00205-2>, to three-level models.
Additionally, the simulation tools provides flexible ways to investigate
bias, Type I errors and the consequences of model misspecification.

Kristoffer Magnusson

powerlmm

Power Analysis for Longitudinal Multilevel Models

get_slope_diff function

A <code><a rd-options='' href='study_parameters'>study_parameters</a></code>-object.

get_slope_diff: Return the raw difference between the groups at posttest

Description

Usage

Arguments

Value