ods_data

Data example for analyzing the primary response in ODS design (zhou et al.
2002)

datasets

Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance study efficiency.
In ODS designs, one observes the exposure/covariates with a probability that depends on the outcome
variable. Popular ODS designs include case-control for binary outcome, case-cohort for time-to-event
outcome, and continuous outcome ODS design (Zhou et al. 2002) <doi: 10.1111/j.0006-341X.2002.00413.x>.
Because ODS data has biased sampling nature, standard statistical analysis such as linear regression
will lead to biases estimates of the population parameters. This package implements four statistical
methods related to ODS designs: (1) An empirical likelihood method analyzing the primary continuous
outcome with respect to exposure variables in continuous ODS design (Zhou et al., 2002). (2) A partial
linear model analyzing the primary outcome in continuous ODS design (Zhou, Qin and Longnecker, 2011)
<doi: 10.1111/j.1541-0420.2010.01500.x>. (3) Analyze a secondary outcome in continuous ODS design
(Pan et al. 2018) <doi: 10.1002/sim.7672>. (4) An estimated likelihood method analyzing a secondary
outcome in case-cohort data (Pan et al. 2017) <doi: 10.1111/biom.12838>.

Yinghao Pan

Statistical Methods for Outcome-Dependent Sampling Designs

Haibo Zhou

Mark Weaver

Guoyou Qin

Jianwen Cai

ods_data function

A matrix with 400 rows and 5 columns. The first 200 observations are
 from the simple random sample, while 2 supplemental samples each with size
 100 are taken from one standard deviation above the mean and below the
 mean, i.e. (Y1 &lt; 0.162) and (Y1 &gt; 2.59).<dl class="dl-horizontal">
<dt>Y1</dt><dd>primary
 outcome for which the ODS sampling scheme is based on</dd> <dt>X</dt><dd>expensive
 exposure</dd> <dt>Z1</dt><dd>a simulated covariate</dd> <dt>Z2</dt><dd>a simulated covariate</dd>
 <dt>Z3</dt><dd>a simulated covariate</dd> </dl>

Format

Data example for analyzing the primary response in ODS design — ods_data

A matrix with 400 rows and 5 columns. The first 200 observations are
 from the simple random sample, while 2 supplemental samples each with size
 100 are taken from one standard deviation above the mean and below the
 mean, i.e. (Y1 &lt; 0.162) and (Y1 &gt; 2.59).<dl class='dl-horizontal'>
<dt>Y1</dt><dd>primary
 outcome for which the ODS sampling scheme is based on</dd> <dt>X</dt><dd>expensive
 exposure</dd> <dt>Z1</dt><dd>a simulated covariate</dd> <dt>Z2</dt><dd>a simulated covariate</dd>
 <dt>Z3</dt><dd>a simulated covariate</dd> </dl>

ods_data: Data example for analyzing the primary response in ODS design

Description

Usage

Arguments

Format