Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
Authors: Liangyu Zhu, Wenbin Lu, Rui Song
ICML 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Simulation studies and an application to the Ohio type 1 diabetes dataset show that our method could provide meaningful insights for dose suggestions with mobile health data. 4. Simulation Studies, 5. Type 1 Diabetes Data Analysis |
| Researcher Affiliation | Academia | 1Department of Statistics, North Carolina State University, Raleigh, NC, USA. Correspondence to: Liangyu Zhu <lzhu12@ncsu.edu>. |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | The R code for the simulation can be found in https:// github.com/lz2379/Mhealth. The R code for real data application can be found in https: //github.com/lz2379/Mhealth. |
| Open Datasets | Yes | We apply our method to the Ohio type 1 diabetes dataset collected by Marling & Bunescu (2018)... Marling, C. and Bunescu, R. C. The ohiot1dm dataset for blood glucose level prediction. In KHD@ IJCAI, pp. 60 63, 2018. |
| Dataset Splits | No | The paper only specifies a training and testing split: "We further take the first 44 days as the training data and the last 10 days as the testing data." There is no explicit mention of a validation split. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used for running its experiments. |
| Software Dependencies | No | The paper mentions that the code is in R ("The R code for the simulation", "The R code for real data application") but does not specify any libraries or their version numbers. |
| Experiment Setup | Yes | We take σ = 0.5, θ1 = 0.8, θ2 = 0, η1 = 0.2, η2 = 0.2, τ1 = 1, τ2 = 0.5, β0 = 0, β1 = 2 and St = Xt. We use the Gaussian kernel KΛ(s) = (2π) q/2|Λ| 1/2 exp( s T Λs/2), where q = 1 is the dimension of St, and f(St) = St. ... Λ is a q q diagonal matrix with Λj,j = λ2 j. We take λj = 0.305 n 1/3sd(St,j), j = 1, . . . , q. |