PEMODELAN PERSENTASE PENDUDUK MISKIN KABUPATEN/KOTA DI PROVINSI JAWA TENGAH MENGGUNAKAN REGRESI DATA PANEL [PDF]
, 2016 Panel data regression is a regression for panel data which is a composite of cross-section data and time-series data. To estimate panel data regression model, there are three approaches, namely the Common Effect Model (CEM), Fixed Effect Model (FEM ...
ARIANDHINI, NARISHWARI
core
Binomial Random Parameters Logistic Regression Model of Housing Satisfaction
Procedia Environmental Sciences, 2014 AbstractLifecycle events strongly influence the long term dynamics of activity-travel behavior. Moving house, as an example of a lifecycle event, triggers households to reconsider their activity-travel choices and possibly to adapt to the new house-job relationship.
Grigolon, A.B. +3 more
openaire +3 more sources
Heteroscedastic nonlinear regression models with random effects [PDF]
, 1998 We discuss an extansion of the nonlinear random effects model from Lindstrom and Bates (1990) by adding a flexible transformation to both sides of the model (see Carroll and Ruppert (1988)) and describe a procedure for parameter estimation. This method combines pseudo maximum likelihood estimators for the transform-both-sides and weighting model and ...
Gilberg, Frank, Urfer, Wolfgang
openaire +3 more sources
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle. [PDF]
JDS Commun, 2023 Baba T +8 more
europepmc +1 more source
Applying a CART-based approach for the diagnostics of mass appraisal models [PDF]
In this paper an approach for automatic detection of segments where a regression model significantly underperforms and for detecting segments with systematically under- or overestimated prediction is introduced. This segmentational approach is applicable
Elena B. Pokryshevskaya +1 more
core
Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Applicability of single-step genomic evaluation with a random regression model for reproductive traits in turkeys (Meleagris gallopavo). [PDF]
Front Genet, 2022 Makanjuola BO +3 more
europepmc +1 more source
Uncertainty under a multivariate nested-error regression model with logarithmic transformation [PDF]
, 2006 Assuming a multivariate linear regression model with one random factor, we consider the parameters defined as exponentials of mixed effects, i.e., linear combinations of fixed and random effects.
Molina, Isabel
core +1 more source
FEBS Open Bio, EarlyView.Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani +7 more
wiley +1 more source