This simulation experiment examines the correspondence between true risk factor effects and estimated risk factor effects at the single set of parameter settings where the only difference between individuals that should affect their risk of infection is the chance number of sex acts or partners which they have. The infection simulated stimulates no immunity.
Individuals never recover from infection and they never die or leave the population.
They remain equally contagious throught their infection and continue infecting others. Individuals are distinguished by whether they have an insertive preference or a receptive preference but this preference makes no difference for the individuals behavior. Mixing is completely random and there is only one sex act per partnership. Describe how risk of infection is related to total number of partnerships during the early, middle, and late periods of epidemics across a series of 10 simulations. Determine if the increase in infection risk attributable to an additional sexual partnership as estimated by logistic regression corresponds to the observed increase in infection risks per additional partnership described from objective 1.