10 items found

Tags: Cancer detection and diagnosis Cancer screening Medicine

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  • dataset

    Results of fits of optimal excess relative risk model (2) (maximum likelihood...

    aUnless otherwise stated all p-values refer to improvement in fit of model immediately above indicated one in the Table.bp-value for improvement in fit over null model (without...
  • dataset

    Analysis of curvature in fits of EOR model (2) with or without adjustment for...

    All models have underlying rates adjusted for age (treated categorically) and gender. Unless otherwise stated all CI are profile-likelihood based. aunless otherwise stated all...
  • dataset

    Characteristics of the study population.

    SD = standard deviation; BMI = body mass index; BFP = Body fat percentage measured with bioelectrical impedance [24]; WHR = waist-hip ratio; HGS = handgrip strength, the highest...
  • dataset

    Quality Assessment of Studies.

    aConfounders of interest were lead-time bias and liver function for survival, liver function, and performance status for treatment eligibility, and liver function and body mass...
  • dataset

    Clinical characteristics of patients.

    Mean±SD [25., 50. und 75. percentile in case of non-normal distribution] or number (%). ap<0.05;bp<0.01;cp<0.005;dp<0.001 – comparison between survivors and...
  • dataset

    Patient Characteristics.

    Abbreviations: AML, acute myeloid leukemia; sAML, secondary AML; ALL, acute lymphoblastic leukemia; PMF, primary myelofibrosis; CLL: chronic lymphoblastic leukemia; SAA, severe...
  • dataset

    Descriptive statistics.

    Table 1.  Descriptive statistics. (Notes: the R&D rec. and the R&D high variables are dummy variables equal to 1 if the associated expert's cost estimate...
  • dataset

    Demographic and clinical data.

    Note. All figures are group means, with standard deviations in parentheses, unless otherwise stated. BDD =  body dysmorphic disorder group; SZ =  schizophrenia/schizoaffective...
  • dataset

    Demographic and baseline characteristics of patients.

    Demographic and baseline characteristics of patients.