OCdata

A dataset containing three dichotomous variables: oral cancer, alcohol and smoking

datasets

Produces a publication-ready table that includes all effect estimates necessary for full reporting effect modification and interaction analysis as recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>]. It also estimates confidence interval for the trio of additive interaction measures using the delta method (see Hosmer and Lemeshow (1992), [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).

Babatunde Alli

interactionR

Full Reporting of Interaction Analyses

OCdata function

A data frame with 458 observations and 3 variables:<dl>
 <dt>oc</dt>
<dd>oral cancer, the outcome</dd> <dt>alc</dt>
<dd>alcohol use, the first exposure</dd> <dt>smk</dt>
<dd>smoking, the second exposure</dd> ...</dl>

Format

Case-control study of the joint effect of alcohol and smoking on oral cancer by Rothman and Keller. — OCdata

A data frame with 458 observations and 3 variables:<dl>
 <dt>oc</dt>
<dd>oral cancer, the outcome</dd>

 <dt>alc</dt>
<dd>alcohol use, the first exposure</dd>

 <dt>smk</dt>
<dd>smoking, the second exposure</dd>

 ...

</dl>

OCdata: Case-control study of the joint effect of alcohol and smoking on oral cancer by Rothman and Keller.

Description

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