View source: R/SingleTable-methods-exported.R
SingleTable.create | R Documentation |
singletable
.Create an object of class SingleTable
, which is
a components list of exact posterior inference based on single 2x2 table.
SingleTable.create(a1,b1,a2,b2,rho,y1,n1,y2,n2,model,measure)
a1 |
a numeric value specifying the first hyperparameter of the beta prior for group 1. |
b1 |
a numeric value specifying the second hyperparameter of the beta prior for group 1. |
a2 |
a numeric value specifying the first hyperparameter of the beta prior for group 2. |
b2 |
a numeric value specifying the second hyperparameter of the beta prior for group 2. |
rho |
a numeric value specifying correlation coefficient for Sarmanov bivariate prior distribution. |
y1 |
an integer indicating the number of events in group 1. |
n1 |
an integer indicating the total number of subjects in group 1. |
y2 |
an integer indicating the number of events in group 2. |
n2 |
an integer indicating the total number of subjects in group 2. |
model |
a character string specifying the model. Options are |
measure |
a character string specifying a measure. Options are
|
There are two kinds of study design, i.e., prospective study or
clinical trial, and retrospective or case-control study.
In a prospective study or clinical trial, data
is a data
frame that contains y1
, n1
, y2
, n2
.
y1
is the number of subjects
experienced a certain event in the unexposed group. n1
is the number
of subjects in the unexposed group. y2
is the number of subjects experienced
a certain event in the exposed group. n2
is the number of
subjects in the exposed group. In this study, OR
is odds ratio
of event comparing exposed group with unexposed group. RR
is relative risk of event comparing exposed group with unexposed group. RD
is risk
difference of event comparing exposed group with unexposed group.
For case-control study, y1
is the number of subjects with
exposure in the control group. n1
is the number of
subjects in the control group. y2
is the number of
subjects with exposure in the case group. n2
is the
number of subjects in the case group. In this study, OR
is odds ratio
of event comparing case group with control group. RR
is
relative risk of event comparing case group with control group. RD
is risk
difference of event comparing case group with control group.
When model='Sarmanov
', rho
is subject to constraints. See Chen et al(2011) for details.
An object is returned, inheriting from class singletable
.
The Objects of this class contain the meta-data for generic functions: SingleTable.modelFit
,
SingleTable.summary
, and SingleTable.plot
. The following values
of the object must be non-null under SingleTable.create
:
measure |
the value of |
model |
the value of |
data |
a numeric vector of input data with components: |
parameter |
a numeric vector of the hyperparameters: |
Chen, Y., Luo, S., (2011a). A Few Remarks on "Statistical Distribution of the Difference of
Two Proportions' by Nadarajah and Kotz, Statistics in Medicine 2007; 26(18):3518-3523".
Statistics in Medicine, 30(15), 1913-1915.
<doi:10.1002/sim.4248>
SingleTable.modelFit
, SingleTable.summary
, SingleTable.plot
.
## Specify data (y1, n1, y2, n2), parameters (a1, b1, a2, b2, rho), model (Sarmanov/Independent), ## and Specify measure(OR/RR/RD) ## Assume we have a 2x2 table:{{40,56},{49,60}} and set prior parameters as a1=b1=a2=b2=rho=0.5. ## Create object \code{single_table_obj} library(mmeta) library(ggplot2) single_table_obj <- SingleTable.create(a1=0.5,b1=0.5, a2=0.5,b2=0.5,rho=0.5, y1=40, n1=96, y2=49, n2=109,model="Sarmanov",measure="OR")
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