stu1

<p></p><p>  Data on quality of life in n=646 breast cancer patients in an
  observational treatment study of the German Breast Cancer Study Group
  (GBSG) </p>

datasets

This package offers a comprehensive data analysis if
stratification and matching by the propensity score is done.
Several functions are implemented, starting from the selection
of the propensity score model up to estimating propensity score
based treatment or exposure effects. All functions can be
applied separately as well as combined.

Susanne Stampf

nonrandom

Stratification and matching by the propensity score

stu1 function

A data frame with 648 observations on the following 9 variables.
  <dl>
    <dt>klinik</dt><dd>clinic center</dd> <dt>idnr</dt><dd>patient id</dd> <dt>tmass</dt><dd>tumor size in mm</dd> <dt>alter</dt><dd>age</dd> <dt>therapie</dt><dd>therapy:
      <dl>
       <dt>1:</dt><dd>mastectomy</dd> <dt>2:</dt><dd>breast conservation</dd> </dl> </dd> <dt>tgr</dt><dd>tumor size:
      <dl>
       <dt>1:</dt><dd><= 10="" mm<="" dd=""> <dt>2:</dt><dd>>  10 mm</dd> </=></dd></dl> </dd> <dt>age</dt><dd>age:
      <dl>
       <dt>1:</dt><dd><= 55="" yrs<="" dd=""> <dt>2:</dt><dd>>  55 yrs</dd> </=></dd></dl> </dd> <dt>ewb</dt><dd>emotional status</dd> <dt>pst</dt><dd>physical status</dd> </dl> 

stu1: Data example stu1

Description

Usage

Arguments

Format

Examples