38 items found

Tags: LASSO

Filter Results
  • dataset

    r37980778c78--95b94cddb559648b3f43912f5c4ed42d

    The final column contains the coefficient of determination (R2) values for the model-averaged predictions (MAP) from the models resulting from the combinations of variable...
  • dataset

    r37980778c78--10cab5e8467883b3900389e3e6bcd892

    Logistic regression model for predicting persistent severe ARDS using variables available at trial enrollment.
  • dataset

    Additional file 2 of A LASSO-derived risk model for long-term mortality in Ch...

    Additional file 2: The risk formula of our model and the demo of use it.
  • dataset

    Predicting seizures in pregnant women with epilepsy: Development and external...

    BackgroundSeizures are the main cause of maternal death in women with epilepsy, but there are no tools for predicting seizures in pregnancy. We set out to develop and validate a...
  • dataset

    Persistent severe acute respiratory distress syndrome for the prognostic enri...

    BackgroundAcute respiratory distress syndrome (ARDS) is heterogeneous. As an indication of the heterogeneity of ARDS, there are patients whose syndrome improves rapidly (i.e.,...
  • dataset

    Frequency of BIC selected predictors representing chromosomal (<i>X</i><sub>1...

    Frequency of BIC selected predictors representing chromosomal (X1) and non-chromosomal effects (X2) as well as their interaction (X1X2) within 1000 modelling repeats.
  • dataset

    R source code

    Programming commands essential for replicating our geometric morphometric and statistical analyses are here given. The main source code (Bazzi et al_Dryad_MasterRScript) is...
  • dataset

    r37980778c78--5b52b8bc507dda5ef4409df8bd7b3bcf

    Frequency of selected linear models according to their MSE within 1000 modelling repeats.
  • dataset

    Complexity of BIC selected statistical models.

    Complexity of BIC selected statistical models.
  • dataset

    BIC support for each hypothesis explaining variation in <i>Brucella</i> RT-PC...

    BIC support for each hypothesis explaining variation in Brucella RT-PCR positivity.
  • dataset

    r37980778c78--82973d6583f6e9be4d1ebc8263da4c78

    Late-onset Alzheimer’s Disease (LOAD) is the most common form of dementia in the elderly. Genome-wide association studies (GWAS) for LOAD have open new avenues to identify...
  • dataset

    r37980778c78--416a8dd0ffc96808fa7f75795832f486

    The biological pathways involved in amyotrophic lateral sclerosis (ALS) remain elusive and diagnostic decision-making can be challenging. Gene expression studies are valuable in...
  • dataset

    Outputs from the model for <i>Brucella</i> RT-PCR positivity with the greates...

    Outputs from the model for Brucella RT-PCR positivity with the greatest BIC support.
  • dataset

    Summary of the simulation scenarios.

    For each scenario 1000 datasets were simulated. All together there were 20 scenarios considered.
  • dataset

    Patient and treatment characteristics.

    aPrimary disease: CRC = colorectal carcinoma; NPC = nasopharyngeal carcinoma; MC = mammary carcinoma; HCC = hepatocellular carcinoma.bLobes treated: W = whole liver treatment; L...
  • dataset

    EMPiRE model performance.

    EMPiRE model performance.
  • dataset

    Mean posterior co-efficient estimates and 95% credibility intervals (CrI) der...

    Mean posterior co-efficient estimates and 95% credibility intervals (CrI) derived from LASSO analysis for relationship between Brucella RT-PCR positivity and participant...
  • dataset

    r37980778c78--32a04e93f18d0968337748fc0c9a2995

    Brucellosis is an important zoonotic disease globally, with particularly high burdens in pastoral settings. While the zoonotic transmission routes for Brucella spp. are well...
  • dataset

    Supplementary Material

    Supplemental material, Supplementary_Table_1_submission_TAH for Safety and efficacy of nilotinib in routine clinical practice in patients with chronic myeloid leukemia in...