title: Designing adaptive intensive interventions using methods from engineering.
abstract: OBJECTIVE
  Adaptive intensive interventions are introduced, and new methods from the field of control engineering for use in their design are illustrated.
  
  
  METHODS
  A detailed step-by-step explanation of how control engineering methods can be used with intensive longitudinal data to design an adaptive intensive intervention is provided. The methods are evaluated via simulation.
  
  
  RESULTS
  Simulation results illustrate how the designed adaptive intensive intervention can result in improved outcomes with less treatment by providing treatment only when it is needed. Furthermore, the methods are robust to model misspecification as well as the influence of unobserved causes.
  
  
  CONCLUSIONS
  These new methods can be used to design adaptive interventions that are effective yet reduce participant burden.
authors.affiliation: Department of Electrical Engineering, The Pennsylvania State University.
authors.forename: Constantino M
authors.initials: CM
authors.lastname: Lagoa
authors.affiliation: Department of Electrical Engineering, The Pennsylvania State University.
authors.forename: Korkut
authors.initials: K
authors.lastname: Bekiroglu
authors.affiliation: The Methodology Center, The Pennsylvania State University.
authors.forename: Stephanie T
authors.initials: ST
authors.lastname: Lanza
authors.affiliation: Department of Statistics.
authors.forename: Susan A
authors.initials: SA
authors.lastname: Murphy
mesh_terms: D003657:Decision Making; D004738:Engineering; D006801:Humans; D008432:Mathematical Computing; D011613:Psychotherapy / Q000379:methods*; D011619:Psychotropic Drugs / Q000627:therapeutic use*; D016540:Smoking Cessation / Q000379:methods*; D016896:Treatment Outcome
chemical_list: D011619:Psychotropic Drugs