272 items found

Tags: 110309 Infectious Diseases Biotechnology Cancer model

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  • dataset

    Multivariable logistic regression analysis for deriving tuberculosis risk sco...

    Multivariable logistic regression analysis for deriving tuberculosis risk score for death.
  • dataset

    r37980778c78--4d65ecabf46433e3bfcb34739edc9e54

    Domain-specific linear regression models predicting midlife allostatic load from early life biomedical and social factorsa.
  • dataset

    r37980778c78--a4988f30fe8bf4bff1ddb03d42bb083e

    Parameterisation of the generic framework for entry of bat-borne zoonotic viruses into the European Union: NIV case study.
  • dataset

    Economic Burden of Hypoglycemia in Patients with Type 2 Diabetes Mellitus fro...

    BackgroundHypoglycemia is a very serious complication in patients with type 2 diabetes mellitus (T2DM) and affects the economic burden of treatment. This study aims to create...
  • dataset

    Summary of model parameters.

    Parameters in the model were optimally chosen to match the monotherapy characteristics from Murray et al.[6], and , , , and were chosen to be consistent with previous...
  • dataset

    r37980778c78--d125b10b8763b789ec542c8c9ab32518

    Predictive factor descriptions, factor type and median with range values.
  • dataset

    r37980778c78--9e004f834a5e12cfdefacecfd2ac03d1

    nmr = natural mortality rate. tpA2A = transition probability of staying in state A. tpA2B = transition probability of moving from state A to state B. tpB2A = transition...
  • dataset

    Measures used in the usability testing.

    Measures used in the usability testing.
  • dataset

    Mean posterior log-likelihood of the data for each round and site given the m...

    Mean posterior log-likelihood of the data for each round and site given the model and different sets of priors.
  • dataset

    Interviewee category.

    Interviewee category.
  • dataset

    Sample stratification (left) and summary statistics (right) for the NBt and N...

    HR 0:non high risk, 1:high risk, EFS 0:no event, 1:event, OS 0:alive, 1:dead.
  • dataset

    Characteristics of Study Population.

    Continuous variables are presented as median and range. 1: CD: Crohn’s disease, UC: ulcerative colitis, IBS-D: diarrhea predominant IBS, IBS-C: constipation predominant IBS,...
  • dataset

    Deaths Prevented or Postponed (DPPs) due to change in acute-phase and seconda...

    Deaths Prevented or Postponed (DPPs) due to change in acute-phase and secondary prevention treatments for CHD between 1997 and 2007.
  • dataset

    Model parameters.

    aSpecified with reference to Cook [30] and Waage et al. [36] using distributions defined in Biosecurity Australia [31]; b Derived from Sapoukhina et al. [37]; c ABS [6], Note...
  • dataset

    r37980778c78--05504272b84317373f96b4ab0369c99e

    Proportion of CHD deaths prevented or postponed by socioeconomic group, due to change in treatments and risk factors between 1997 and 2007.
  • dataset

    Applications of machine learning in decision analysis for dose management for...

    BackgroundInitiation of the antiarrhythmic medication dofetilide requires an FDA-mandated 3 days of telemetry monitoring due to heightened risk of toxicity within this time...
  • dataset

    Animal characteristics.

    *, P< 0.05 vs Sham; #, P<0.05 vs STNx STNx, Subtotal nephrectomized; Irb, Irbesartan; PPG, Propagermanium Animal numbers: Sham = 20, STNx = 19, STNx+PPG = 17, STNx+Irb = 19...
  • dataset

    r37980778c78--b8e8134a46a732a8a7ea691119cb8141

    Costs for Natural History Health States, chronic liver disease, in Euro 2015.
  • dataset

    The current predictive assays and score systems, the factors included in scor...

    The current predictive assays and score systems, the factors included in score systems and the methods used; the target prediction and final results.