osteoarthritis

The dataset <code>osteoarthritis</code> includes demographic data of 2,585 observations (individuals) with or at risk of knee osteoarthritis. The recorded data has missing values in body mass index (<code>BMI</code>, a quantitative variable), race (<code>RAC</code>, a categorical qualitative variable), smoking status (<code>SMK</code>, a binary qualitative variable), osteoporosis status (<code>OSP</code>, a binary qualitative variable), and knee osteoarthritis status (<code>KOA</code>, a binary qualitative variable).

datasets

Provides the necessary tools for the pre-processing technique of matching in multiply imputed datasets, to improve the robustness and transparency of deriving causal inferences from studying these datasets. This package includes functions to perform propensity score matching within or across the imputed datasets as well as to estimate weights (including inverse propensity score weights) of observations, to analyze each matched or weighted datasets using parametric or non-parametric statistical models, and to combine the obtained results from these models according to Rubin<e2><80><99>s rules. Please see the package repository <https://github.com/FarhadPishgar/MatchThem> for details.

Farhad Pishgar

MatchThem

Matching Multiply Imputed Datasets

Cl<c3><a9>mence Leyrat

osteoarthritis function

This dataset contains 2,585 rows and 7 columns. Each row presents data of an observation (individual) and each column presents data of a characteristics of that observation. The columns are:<dl class="dl-horizontal">
 <dt>AGE</dt><dd>Age of each observation (individual);</dd>
 <dt>SEX</dt><dd>Gender of each observation (individual), coded as <code>0</code> (female) and <code>1</code> (male);</dd>
 <dt>BMI</dt><dd>Estimated body mass index of each observation (individual);</dd>
 <dt>RAC</dt><dd>Race of each observation (individual), coded as <code>0</code> (Other), <code>1</code> (Caucasian), <code>2</code> (African American), and <code>3</code> (Asian);</dd>
 <dt>SMK</dt><dd>The smoking status of each observation, coded as <code>0</code> (non-smoker) and <code>1</code> (smoker)</dd>
 <dt>OSP</dt><dd>Osteoporosis status of each observation (individual) at baseline, coded as <code>0</code> (negative) and <code>1</code> (positive); and</dd>
 <dt>KOA</dt><dd>Knee osteoarthritis status of each observation (individual) in the follow-up, coded as <code>0</code> (at risk) and <code>1</code> (diagnosed).</dd>
</dl>

Format

Data of 2,585 Participants in the OAI Project — osteoarthritis

This dataset contains 2,585 rows and 7 columns. Each row presents data of an observation (individual) and each column presents data of a characteristics of that observation. The columns are:<dl class='dl-horizontal'>
 <dt>AGE</dt><dd>Age of each observation (individual);</dd>
 <dt>SEX</dt><dd>Gender of each observation (individual), coded as <code>0</code> (female) and <code>1</code> (male);</dd>
 <dt>BMI</dt><dd>Estimated body mass index of each observation (individual);</dd>
 <dt>RAC</dt><dd>Race of each observation (individual), coded as <code>0</code> (Other), <code>1</code> (Caucasian), <code>2</code> (African American), and <code>3</code> (Asian);</dd>
 <dt>SMK</dt><dd>The smoking status of each observation, coded as <code>0</code> (non-smoker) and <code>1</code> (smoker)</dd>
 <dt>OSP</dt><dd>Osteoporosis status of each observation (individual) at baseline, coded as <code>0</code> (negative) and <code>1</code> (positive); and</dd>
 <dt>KOA</dt><dd>Knee osteoarthritis status of each observation (individual) in the follow-up, coded as <code>0</code> (at risk) and <code>1</code> (diagnosed).</dd>
</dl>

osteoarthritis: Data of 2,585 Participants in the OAI Project

Description

Usage

Arguments

Format