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- W2793869021 abstract "Consider a study in which we collect data on N units connected by a social network. For each unit i = 1, …, N, we record baseline covariate (W i ), exposure (A i ), and outcome of interest (Y i ) information. We also observe the set F i that consists of the units in {1, …, N}∖{i} that are connected to and could influence the unit i. The set F i constitutes “i’s friends”. We allow | F i |, the total number of friends of i, to vary in i. In addition, we assume that | F i | goes to zero when scaled by 1∕N. For example, F i could represent the set of all the friends of i in a social network, or the set of all of i’s sexual partners in a study of the effects of early HIV treatment initiation." @default.
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- W2793869021 date "2018-01-01" @default.
- W2793869021 modified "2023-09-26" @default.
- W2793869021 title "Single Time Point Interventions in Network-Dependent Data" @default.
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- W2793869021 doi "https://doi.org/10.1007/978-3-319-65304-4_21" @default.
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