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      EqSRounded in the DTDA package contains this dataset, which is used in Chapter 2.

      1.4.4 Quasar Data

triplets
, where
is the luminosity in the log‐scale, obtained from a transformation model based on the redshift and the apparent magnitude of the
th quasar. See Efron and Petrosian (1999) for further details on the transformation model. Due to experimental constraints, the distribution of each luminosity in the log‐scale is truncated to a known interval
. Specifically, quasars with apparent magnitude above
were too dim to yield dependent redshifts, and hence they were excluded from the study. In addition, the lower limit
was used to avoid confusion with non‐quasar stellar objects. Some descriptive statistics are provided in Table 1.4.

Years: 0–4 5–9 10–14 15–19 20–24 25–29 30–34
N. units: 1 26 26 51 44 14 12
) and observation interval
.

Variable Min Q1 Q2 Mean Q3 Max
X
0.39 0.24 0.71 2.08
U
0.26 0.75
V 0.15 1.78 2.10 1.95 2.36 2.58

      The Quasar Data are used in Chapter 3. This classical example is also included in the DTDA package (dataset Quasars).

      1.4.5 Parkinson's Disease Data

      Clark et al. (2011) investigated the association of candidate single nucleotide polymorphisms (SNPs) and age of onset of Parkinson's disease (PD). For this, genomic DNA samples from human blood samples were obtained from the National Institute of Neurological Disorders and Stroke (NINDS) Human Genetics DNA and Cell Line Repository at the Coriell Institute for Medical Research (Camden, New Jersey). More specifically, one aim of the study was to detect association between the rs8192678 PGC‐1a and A10398G SNPs and the risk or age of onset of PD.

and mean (and standard deviation, SD) for the age of onset (years).

Group SNP Alleles
Mean (SD)
Early onset A10398G A 76 46.93
G 21 47.14
PGC‐1a A 8 50.00

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