get_cost_ip_dc_description

Function to extract the unit hospital inpatient admission by
matching description

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

get_cost_ip_dc_description function

<dl><dt>description</dt>
<dd>description corresponding to the inpatient admission</dd>
<dt>ref_cost_data_file</dt>
<dd>file that has unit cost</dd>
<dt>col_name_description</dt>
<dd>name of the column that has the description</dd>
<dt>unit_cost_col</dt>
<dd>name of the column with the unit cost</dd>
<dt>sheet</dt>
<dd>sheet if excel file is given</dd></dl>

Arguments

Function to extract the unit hospital inpatient admission by
matching description — get_cost_ip_dc_description

<dl>

<dt>description</dt>
<dd>description corresponding to the inpatient admission</dd>


<dt>ref_cost_data_file</dt>
<dd>file that has unit cost</dd>


<dt>col_name_description</dt>
<dd>name of the column that has the description</dd>


<dt>unit_cost_col</dt>
<dd>name of the column with the unit cost</dd>


<dt>sheet</dt>
<dd>sheet if excel file is given</dd>

</dl>

get_cost_ip_dc_description: Function to extract the unit hospital inpatient admission by matching description

Description

Usage

Value

Arguments

Examples