scholarly journals Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies

Biometrics ◽  
2020 ◽  
Author(s):  
Noémi Kreif ◽  
Oleg Sofrygin ◽  
Julie A. Schmittdiel ◽  
Alyce S. Adams ◽  
Richard W. Grant ◽  
...  
Keyword(s):  
Treatment Strategies ◽  
Causal Effects ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies

scholarly journals A global logrank test for adaptive treatment strategies based on observational studies

2013 ◽  
Vol 33 (5) ◽  
pp. 760-771 ◽  
Author(s):  
Zhiguo Li ◽  
Marcia Valenstein ◽  
Paul Pfeiffer ◽  
Dara Ganoczy
Keyword(s):  
Observational Studies ◽  
Treatment Strategies ◽  
Logrank Test ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies

Personalizing medicine: a review of adaptive treatment strategies

2014 ◽  
Vol 23 (6) ◽  
pp. 580-585 ◽  
Author(s):  
Michael P. Wallace ◽  
Erica E. M. Moodie
Keyword(s):  
Treatment Strategies ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies

scholarly journals Weighted log-rank statistic to compare shared-path adaptive treatment strategies

Biostatistics ◽  
2012 ◽  
Vol 14 (2) ◽  
pp. 299-312 ◽  
Author(s):  
K. M. Kidwell ◽  
A. S. Wahed
Keyword(s):  
Treatment Strategies ◽  
Rank Statistic ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies

Comparative Effectiveness of Adaptive Treatment Strategies

2018 ◽  
pp. 253-276
Author(s):  
Romain S. Neugebauer ◽  
Julie A. Schmittdiel ◽  
Patrick J. O’Connor ◽  
Mark J. van der Laan
Keyword(s):  
Comparative Effectiveness ◽  
Treatment Strategies ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies

Adaptive treatment strategies for children and adolescents with Obsessive-Compulsive Disorder: A sequential multiple assignment randomized trial

2018 ◽  
Vol 58 ◽  
pp. 42-50 ◽  
Author(s):  
Daniel Fatori ◽  
Carlos Alberto de Bragança Pereira ◽  
Fernando R. Asbahr ◽  
Guaraci Requena ◽  
Pedro G. Alvarenga ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Children And Adolescents ◽  
Obsessive Compulsive Disorder ◽  
Treatment Strategies ◽  
Obsessive Compulsive ◽  
Compulsive Disorder ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies ◽  
Multiple Assignment

Statistical Methodology for a SMART Design in the Development of Adaptive Treatment Strategies

2011 ◽  
Author(s):  
Alena I. Oetting ◽  
Janet A Levy
Keyword(s):  
Addiction Treatment ◽  
Clinical Decision Making ◽  
Treatment Strategies ◽  
Specific Treatment ◽  
Prescription Opioid ◽  
Opioid Use ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies ◽  
Drug Counseling ◽  
Patient Responses

The past two decades have brought new pharmacotherapies as well as behavioral therapies to the field of drug-addiction treatment (Carroll & Onken, 2005; Carroll, 2005; Ling & Smith, 2002; Fiellin, Kleber, Trumble-Hejduk, McLellan, & Kosten, 2004). Despite this progress, the treatment of addiction in clinical practice often remains a matter of trial and error. Some reasons for this difficulty are as follows. First, to date, no one treatment has been found that works well for most patients; that is, patients are heterogeneous in response to any specific treatment. Second, as many authors have pointed out (McLellan, 2002; McLellan, Lewis, O’Brien, & Kleber, 2000), addiction is often a chronic condition, with symptoms waxing and waning over time. Third, relapse is common. Therefore, the clinician is faced with, first, finding a sequence of treatments that works initially to stabilize the patient and, next, deciding which types of treatments will prevent relapse in the longer term. To inform this sequential clinical decision making, adaptive treatment strategies, that is, treatment strategies shaped by individual patient characteristics or patient responses to prior treatments, have been proposed (Greenhouse, Stangl, Kupfer, & Prien, 1991; Murphy, 2003, 2005; Murphy, Lynch, Oslin, McKay, & Tenhave, 2006; Murphy, Oslin, Rush, & Zhu, 2007; Lavori & Dawson, 2000; Lavori, Dawson, & Rush, 2000; Dawson & Lavori, 2003). Here is an example of an adaptive treatment strategy for prescription opioid dependence, modeled with modifications after a trial currently in progress within the Clinical Trials Network of the National Institute on Drug Abuse (Weiss, Sharpe, & Ling, 2010). . . . Example . . . . . . First, provide all patients with a 4-week course of buprenorphine/naloxone (Bup/Nx) plus medical management (MM) plus individual drug counseling (IDC) (Fiellin, Pantalon, Schottenfeld, Gordon, & O’Connor, 1999), culminating in a taper of the Bup/Nx. If at any time during these 4 weeks the patient meets the criterion for nonresponse, a second, longer treatment with Bup/Nx (12 weeks) is provided, accompanied by MM and cognitive behavior therapy (CBT). However, if the patient remains abstinent from opioid use during those 4 weeks, that is, responds to initial treatment, provide 12 additional weeks of relapse prevention therapy (RPT). . . .

Adaptive treatment strategies for chronic conditions: shared-parameter G-estimation with an application to rheumatoid arthritis

Biostatistics ◽  
2020 ◽  
Author(s):  
Shouao Wang ◽  
Erica Em Moodie ◽  
David A Stephens ◽  
Jagtar S Nijjar
Keyword(s):  
Rheumatoid Arthritis ◽  
Treatment Strategies ◽  
Treatment Decision ◽  
Time Sharing ◽  
Estimation Algorithms ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies ◽  
Decision Points ◽  
Time Invariant ◽  
Treatment Rules

Summary Most estimation algorithms for adaptive treatment strategies assume that treatment rules at each decision point are independent from one another in the sense that they do not possess any common parameters. This is often unrealistic, as the same decisions may be made repeatedly over time. Sharing treatment-decision parameters across decision points offers several advantages, including estimation of fewer parameters and the clinical ease of a single, time-invariant decision to implement. We propose a new computational approach to estimation of shared-parameter G-estimation, which is efficient and shares the double robustness of the “unshared” sequential G-estimation. We use this approach to analyze data from the Scottish Early Rheumatoid Arthritis (SERA) Inception Cohort.

scholarly journals Developing Adaptive Treatment Strategies to Address Suicidal Risk in College Students: A Pilot Sequential, Multiple Assignment, Randomized Trial (SMART)

2018 ◽  
Vol 22 (4) ◽  
pp. 644-664 ◽  
Author(s):  
Jacqueline Pistorello ◽  
David A. Jobes ◽  
Scott N. Compton ◽  
Nadia Samad Locey ◽  
Joseph C. Walloch ◽  
...  
Keyword(s):  
College Students ◽  
Randomized Trial ◽  
Treatment Strategies ◽  
Suicidal Risk ◽  
Adaptive Treatment ◽  
Adaptive Treatment Strategies ◽  
Multiple Assignment
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