Sequential Multiple Assignment Randomized Trials (SMART) Designs for COVID-19 Clinical Studies
Cuvinte cheie:
COVID-19; Clinical trials; SMART designs; Treatment policiesRezumat
The impact of COVID-19 has been felt across the whole world. Economies of many countries have suffered yet there is still no cure for the pandemic. In this paper, we present a novel approach of conducting a clinical trial that may be employed in COVID-19 clinical trials. This approach can help in identifying a treatment policy or policies which can result in quicker recovery.
Referințe
Centers for Disease Control (CDC), 2020. Centers for Disease Control web site. [Online] Available at: https://www.cdc.gov/coronavirus/2019-ncov/index.html [Accessed 20 October 2020].
Chakraborty, B., 2011. Dynamic treatment regimes for managing chronic health conditions: A statistical perspective. American Journal of Public health, 101, No 1.
Chakraborty, B. & Murphy, S., 2014. Dynamic treatment regimes. Annual Review of Statistics and Its Application.
Feng, W. & Wahed, A., 2008. Supremum weighted log-rank test and sample size for comparing two-stage adaptive treatment strategies. Biometrics, 58.
Fernandes, N., 2020. Economic effects of coronavirus outbreak (COVID-19) on the world economy. SSRN.
Kidwell, K. et al., 2018. Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials. Journal of Applied Statistics, 45.
Kidwell, K. & Waheed, A., 2012. Weighted log-rank statistic to compare shared-path adaptive treatment strategies. Biostatistics.
Kolitz, J.E. et al., 2014. Recombinant interleukin-2 in patients aged younger. Cancer, 120.
Lunceford, D. & Tsiatis, A., 2002. Estimation of survival distributions of treatment policies in two-stage randomization designs in clinical trials. Biometrics.
Murphy, S., 2005. An experimental design for the development of adaptive treatment strategies. Statistics in Medicine.
Rubin, D., 1974. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of educational Psychology, 66.
Sheahan, T.P. et al., 2020. Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoV. Nature communications, 11.
Song, Y. et al., 2020. COVID-19 treatment: close to a cure? A rapid review of pharmacotherapies for the novel coronavirus (SARS-CoV-2). International Journal of Antimicrobial Agents.
Tang, X. & Wahed, A., 2014. Cumulative hazard ratio estimation for treatment regimes in sequentially randomized clinical trials. Statistics in Biosciences.
Vilakati, S. & Cortese, G., 2019. Estimating survival distributions for time-varying SMART designs. South African Statistical Journal.
Vilakati, S. & Cortese, G., 2020. Weighted Lin and Xu test for two-stage randomization designs. Biostatistics and Epidemiology.
World Health Organization, 2020. Health topics. [Online] Available at: https://www.who.int/health-topics/coronavirus#tab=tab_1 [Accessed 20 October 2020].
World Health Organization, 2020. WHO web site. [Online] Available at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen [Accessed 20 October 2020].
Worldometers, 2020. Worldometers. [Online] Available at: https://www.worldometers.info/coronavirus/ [Accessed 20 October 2020].
Yavuz, I., Cheng, Y. & Wahed, A., 2018. Estimating the cumulative incidence function of dynamic treatment regimes. Journal of the Royal Statistical Society Series A.
Descărcări
Publicat
Număr
Secțiune
Licență
Copyright (c) 2021 African Journal of Biomedical Research
Această lucrare este licențiată în temeiul Creative Commons Attribution 4.0 International License.
