modSearch

a formula object with the response on the left of the <code>~</code> operator, and the linear
 predictor on the right.

formula

a matrix of at least two predictors

a character string specifying the type of the response variable; possible values are 
 "<code>quantitative</code>" or "<code>dichotomous</code>".

endpoint

a character string specifying the type of search technique used in the model selection procedure; 
 possible values are "<code>exhaustive</code>", "<code>forward</code>", or "<code>backward</code>".

method

specifies the optimization criterion for model selection; possible values are "<code>cp</code>" for 
 Mallow's Cp, "<code>bic</code>" for BIC, and "<code>rsq</code>" for R-squared.

optimal

a vector of indices to columns of the design matrix that should be included in each regression model.

force.in

the maximum number of covariates considered for inclusion in a model.

nvmax

<code>modSearch</code> is used internally by <code>speff</code> to construct an optimal model for 
prediction of the study endpoint or estimation of the missingness mechanism.

Performs estimation and testing of the treatment effect in a 2-group randomized clinical trial with a quantitative, dichotomous, or right-censored time-to-event endpoint. The method improves efficiency by leveraging baseline predictors of the endpoint. The inverse probability weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to provide unbiased estimation when the endpoint is missing at random.

modSearch: Internal function for speff()

Description

Usage

Arguments

See Also