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日期:2019-06-04 11:36

STA 108B Spring Quarter 2019

Term Project

Due: June 5, 2019 in class, no exceptions

The data set bone density.xlsx contains data on bone density for 82 women. These

women are part of twin studies and there are 41 twin pairs in this data set. The pairs are

identifiable by the case id. A pair of twins have the same id. Below is a list of variables

in the data set:

ID

Age Age (yrs)

zyg 1=monozygous (1 fertilized egg) 2=dizygous (2 fertilized eggs)

height Height (cm)

weight Weight (kg)

tea Tea (cups/week)

coffee Coffee (cups/week)

alcohol Alcohol (drinks/week)

smoke Current Smoking (cigarretes/day)

menopause Menopause Status (1=pre/2=post/3=unknown hysterectomy)

packyrs Pack-years smoking

lumbar Lumbar spine (g/cm**2)

fneck Femoral neck (g/cm**2)

fshaft Femoral shaft (g/cm**2)

The variables lumbar (lumbar spine), fneck (femoral neck) and fshaft (femoral shaft)

contain measurements of bone density in those locations. We want to investigate which

if any of the variables are linearly related to bone density as measured by either the

lumbar spine, femoral neck or shaft. To make an assessment you will need to fit

regression models to all three outcomes, use appropriate measures to identify which

variables are predictive of bone density, assess model assumptions and suggest

transformations if indicated.

We are also interested in the association in bone density between twins. To answer that

question you might designate bone density of one twin as the response (Y) variable and

bone density of the other twin as the predictor (X) variables. Is this association different

in monozygous vs dizygous twins.

Your results should be summarized in the form of a written report of no more than 5

pages plus appendix. The report should be prepared in the form of a journal article with

a summary, introduction, methods section, results and conclusion. If you are unfamiliar

with journal articles, you should obtain one from a medical or biological journal. Any

report should also contain a presentation of descriptive statistics of all variables used in

the project.

You are allowed to collaborate with one other student in class but you may also work

alone.


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