Estimation and model selection in general spatial dynamic panel data models. [PDF]
Proc Natl Acad Sci U S A, 2020 Jin B, Wu Y, Rao CR, Hou L.
europepmc +1 more source
Estimating fixed-effect panel stochastic frontier models by model transformation [PDF]
Traditional panel stochastic frontier models do not distinguish between unobserved individual heterogeneity and inefficiency. They thus force all time-invariant individual heterogeneity into the estimated inefficiency. Greene (2005) proposes a true fixed-
Ho, Chia-Wen, Wang, Hung-Jen
core
Estimating panel data duration models with censored data [PDF]
, 2008 This paper presents a method for estimating a class of panel data duration models, under which an unknown transformation of the duration variable is linearly related to the observed explanatory variables and the unobserved heterogeneity (or frailty) with
Lee, S.
core
Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy
Molecular Oncology, EarlyView.We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley +1 more source
Interpretation and identification of within-unit and cross-sectional variation in panel data models. [PDF]
PLoS One, 2020 Kropko J, Kubinec R.
europepmc +1 more source
Semiparametric Trending Panel Data Models with Cross-Sectional Dependence [PDF]
A semiparametric fixed effects model is introduced to describe the nonlinear trending phenomenon in panel data analysis and it allows for the cross-sectional dependence in both the regressors and the residuals.
Jia Chen, Jiti Gao, Degui Li
core
Spatial heterogeneity of hotspot mutations and clonal relatedness in ovarian endometrioid carcinoma
Molecular Oncology, EarlyView.Spatially resolved analysis revealed heterogeneous distributions of selected cancer‐associated mutations within ovarian endometrioid carcinomas. Shared mutations between paired endometrial and ovarian tumors supported clonal relatedness. These findings highlight the value of sampling multiple tumor regions when interpreting molecular profiles ...
Takahito Ashihara +10 more
wiley +1 more source
Skew-normal Bayesian spatial heterogeneity panel data models. [PDF]
J Appl Stat, 2020 Farzammehr MA +3 more
europepmc +1 more source
The weak instrument problem of the system GMM estimator in dynamic panel data models [PDF]
The system GMM estimator for dynamic panel data models combines moment conditions for the model in first differences with moment conditions for the model in levels. It has been shown to improve on the GMM estimator in the first differenced model in terms
Frank Windmeijer, Maurice Bun
core
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
Molecular Oncology, EarlyView.New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source