Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score. | LitMetric
With the increasing adoption of electronic health records, there is an increasing interest in developing individualized treatment rules, which recommend treatments according to patients' characteristics, from large observational data. However, there is a lack of valid inference procedures for such rules developed from this type of data in the presence of high-dimensional covariates. In this work, we develop a penalized doubly robust method to estimate the optimal individualized treatment rule from high-dimensional data. We propose a split-and-pooled de-correlated score to construct hypothesis tests and confidence intervals. Our proposal adopts the data splitting to conquer the slow convergence rate of nuisance parameter estimations, such as non-parametric methods for outcome regression or propensity models. We establish the limiting distributions of the split-and-pooled de-correlated score test and the corresponding one-step estimator in high-dimensional setting. Simulation and real data analysis are conducted to demonstrate the superiority of the proposed method.
Background: Inclusion body myositis (IBM) is the most prevalent muscle disease in adults for which no current treatment exists. The pathogenesis of IBM remains poorly defined. In this study, we aimed to explore the interplay between inflammation and mitochondrial dysfunction in IBM.
Many trials are designed to collect outcomes at or around pre-specified times after randomization. If there is variability in the times when participants are actually assessed, this can pose a challenge to learning the effect of treatment, since not all participants have outcome assessments at the times of interest. Furthermore, observed outcome values may not be representative of all participants' outcomes at a given time.
Aim: In early-stage breast cancer, the axillary lymph nodes play a crucial role in determining the prognosis of the disease. The rate of lymph node involvement might be a more valuable prognostic factor than the number of positive lymph nodes. Therefore, we aimed to evaluate whether the lymph node ratio (LNR) is a superior prognostic indicator compared to the pathologic lymph node count in early-stage disease.
Aim: Breast cancer is the most common cancer in women and is a leading cause of cancer-related mortality. The role of neoadjuvant therapy (NAT) in conjunction with surgical intervention is becoming increasingly prominent in the field of oncology. NAT enhance the probability of breast-conserving surgery in cases of locally advanced breast cancer and in patients with metastatic or inoperable disease.
Aim: Foreign body ingestion, particularly that of magnets, is a significant issue for children aged 6 months to 3 years due to their prevalence in toys and household items. Most ingested foreign bodies pass naturally, but 10%-20% of such cases require endoscopic removal, and <1% require surgery.
Case Presentation: A 2-year-old girl presented with abdominal pain, nausea, and vomiting.
