form_expression_lm

A collection of functions to construct Markov model for model-based
cost-effectiveness analysis. This includes creating Markov model (both time
homogenous and time dependent models), decision analysis, sensitivity
analysis (deterministic and probabilistic). The package allows estimation
of parameters for the Markov model from a given individual patient level
data, provided the data file follows some standard data entry rules.

Sheeja Manchira Krishnan

packDAMipd

Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data

form_expression_lm function

<dl><dt>param_to_be_estimated</dt>
<dd>parameter of interest</dd>
<dt>indep_var</dt>
<dd>the independent variable (column name in data file)</dd>
<dt>covariates</dt>
<dd>list of covariates</dd>
<dt>interaction</dt>
<dd>boolean value to indicate interaction
in the case of linear regression, false by default</dd></dl>

Arguments

Form expression to use with lm() — form_expression_lm

<dl>

<dt>param_to_be_estimated</dt>
<dd>parameter of interest</dd>


<dt>indep_var</dt>
<dd>the independent variable (column name in data file)</dd>


<dt>covariates</dt>
<dd>list of covariates</dd>


<dt>interaction</dt>
<dd>boolean value to indicate interaction
in the case of linear regression, false by default</dd>

</dl>

form_expression_lm: Form expression to use with lm()

Description

Usage

Value

Arguments

Details

Examples