The function draws randomly n1+n0 individuals among N1 + N0 individuals with N0 > n0 representing the numbers of non-cases and N1 > n1 representing the number of cases.
Implementation of a method of general semiparametric maximum likelihood estimation for logistic models in case-mother control-mother designs. The method was proposed by Chen et al., (2012) for the complete data and Nguile-Makao et al., (2015) proposed an extension of the method allowing missing offspring genotype.
● Data Source:
CranContrib
● Keywords: Case-Control, Maximum Likelihood, Mother-Child Pair, Semiparametric
● Alias: SPmlficmcm, SPmlficmcm-package
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The function builds the nonlinear system from the data, solves the system and assesses the effect of each factor of the model, computes the variance - covariance matrix and deduces from it the standard deviations of each factor.
● Data Source:
CranContrib
● Keywords: case-mother, maximum likelihood, semiparametric
● Alias: Spmlficmcm
●
0 images
The function generates data from a logistic regression model. The data obtained contain: an outcome variable, the mother and child genotype coded as the number of minor allele and the environmental factors. For simulation of each environmental variable, the user can specify the coefficients of linear dependency between the mother genotype and the environmental factors.
providing 
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