most citedGeneralizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials

13 citations · 19 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2021

Evaluation of individual attributes associated with shared HIV risk behaviors among two network-based studies of people who inject drugs

Valerie Ryan, TingFang Lee, Ashley L. Buchanan +3

Social context plays an important role in perpetuating or reducing HIV risk behaviors. This study analyzed the network and individual attributes that were associated with the likel…

stat.ME2021

Estimating Causal Effects of HIV Prevention Interventions with Interference in Network-based Studies among People Who Inject Drugs

TingFang Lee, Ashley L. Buchanan, Natallia V. Katenka +4

Evaluating causal effects in the presence of interference is challenging in network-based studies of hard-to-reach populations. Like many such populations, people who inject drugs…

stat.ME2021★ 13 cited

Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials

Fan Li, Ashley L. Buchanan, Stephen R. Cole

Comparative effectiveness evidence from randomized trials may not be directly generalizable to a target population of substantive interest when, as in most cases, trial participant…

stat.ME2019

Study designs for extending causal inferences from a randomized trial to a target population

Issa J. Dahabreh, Sebastien J-P. A. Haneuse, James M. Robins +4

We examine study designs for extending (generalizing or transporting) causal inferences from a randomized trial to a target population. Specifically, we consider nested trial desig…

stat.ME2019★ 6 cited

Generalizing trial findings using nested trial designs with sub-sampling of non-randomized individuals

Issa J. Dahabreh, Miguel A. Hernan, Sarah E. Robertson +2

To generalize inferences from a randomized trial to the target population of all trial-eligible individuals, investigators can use nested trial designs, where the randomized indivi…

stat.AP2019

Interpretation of the individual effect under treatment spillover

Forrest W. Crawford, Olga Morozova, Ashley L. Buchanan +1

Some interventions may include important spillover or dissemination effects between study participants. For example, vaccines, cash transfers, and education programs may exert a ca…