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Thalamus volume (mm<sup>3</sup>) and interactions between air pollution and e...
Thalamus volume (mm3) and interactions between air pollution and education: Unstandardized coefficient with 95% confidence intervals and standardized coefficients from linear... -
Study dataset.
Compliance with NPG checklist items: data dictionary available in project space. In version 2, 7 errors from the previous version at database lock (publication date for PMID... -
Data used for the analysis.
Readable table containing all the density estimates used in this study, the results of the Ising model, the signal strength index (SSI) for each image, the age of each subject... -
r37980778c78--ba46c81153d889eede506f0ab7598b88
The results of logistic regression analyses to evaluate the association between the image characteristics on chest CT and severe pleural adhesion in lung cancer patients. -
De-identified dataset.
Clinical and computed tomographic data of all patients were included with file format of Microsoft Excel. (XLSX) -
Characteristics of the participants.
Abbreviations: SD, standard deviation; BMI, body mass index; WC, waist circumference; WHtR, waist-to-height ratio; HDL-c, high-density lipoprotein cholesterol; LDL-c,... -
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... -
r37980778c78--3f9c5a08e0d3b8e3fd8d76097d9f0fe4
Thalamus volume (mm3) and interactions between air pollution and age: Unstandardized coefficient with 95% confidence intervals and standardized coefficients from linear regression. -
r37980778c78--faef220cf47409c66897270abed354e4
Thalamus volume (mm3) and air pollution: Unstandardized coefficients and their 95% confidence intervals and standardized coefficients from linear regression. -
r37980778c78--fed363740310ad0289bb9da2001fcb73
Preoperative chest CT findings in the operated thorax. -
Characteristics of the study participants.
The continuous variables are presented as mean (SD) and p-value (t-test). The discrete variables are presented as frequency (%) and p-value (χ2 -test). In Model 1A, HTN is... -
Inclusion and exclusion criteria.
a World Bank (2012). Country and Lending Groups, Low and Lower Middle Income countries [cited August 29, 2013]; Available from:... -
Characteristics of study subjects.
JA-1, first-generation Japanese-Americans; JA-2, second- or later-generation Japanese-Americans; BMI, body mass index; BP, blood pressure; 2-h, two-hour post-load; HOMA-IR,... -
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... -
dedup_wf_001--53291954a94677deb1475fde7223b98a
This describes the output files for the PGxMine project. The code for this viewer is available in the PGxMine Github repo if you want to run it independently. Each file is a... -
Associations of sitting time with cardio-metabolic and fibrinolytic biomarkers.
Associations of sitting time with cardio-metabolic and fibrinolytic biomarkers. -
Population characteristics.
Data are expressed as mean ± standard error or as percentages. Abbreviations: CRP: C-reactive protein, DAS28: disease activity score using 28 joint counts, DMARDs:... -
Patient Characteristics.
Abbreviations: AML, acute myeloid leukemia; sAML, secondary AML; ALL, acute lymphoblastic leukemia; PMF, primary myelofibrosis; CLL: chronic lymphoblastic leukemia; SAA, severe... -
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...
