ch [1 ,HO SM ourﬂ/‘r‘
L . Using SAS. we find the sample means and standard deviations are:
A E
Leveiof G
CENTER N Mean Std Dev
1.00 22 62.5454545 8.67249221
2.00 18 632777778 778992982
3. 00 23 60.826
Unit 8 Assignment
Chapter 12, Problem 7
See text.
Sample
n
x-bar
s
Nonsmokers 269
115 13.4
Current
smokers
53
114 10.1
Ex-smokers
28
118 11.6
9
126 12.2
Tobacco
chewers
a. Calculate the estimate of th
Unit 14 Assignment
Chapter 21, Problem 7
In the table in the textbook on page 511 you will find survival times in months since diagnosis for
10 AIDS patients suffering from concomitant esophageal cand
Biostats Final
100 total points
Please respond with all numerical and non-graph answers on a cover sheet (answers only
just answers) in addition to any other calculations that you wish to submit to fo
Unit 14 Assignment
Chapter 21, Problem 7
In the table in the textbook on page 511 you will find survival times in months since diagnosis for
10 AIDS patients suffering from concomitant esophageal cand
Ty
Biostatistics Assignment for Biostatistics
Week 6
Download and open the Blood Over Time data from the class webpage. Answer the following questions
referring to this dataset.
Same set-up as last we
Biostatistics Homework 4
8.2 Why is it important that a sample drawn from a population be random ?
Randomizing a sample helps to get rid of at mostly possible, any bias because ideally
everyone has an
Answers for Unit 12 Assignment
3 e 1 P o m
For the population of low birth weight infants, a signiﬁcant linear relationship was found to
exist between systolic blood pressure and gestational age (data
Unit 13 Assignment
Chapter 20, Problem 7
Use the now-familiar lowbwt data set.
a. Using germinal matrix hemorrhage as the response, fit a logistic model where x1 is five
minute Apgar score. Write the
Answers to Unit 11 Assignment
oft e ro ms
thpte: 17, Problem 6
Thirty-five patients with ischemic heart disease, a suppression of blood flow to the heart,
took part in a series of tests designed to ev
Unit 4 Assignment
Chapter 9, Problem 5
The distribution of systolic and diastolic blood pressure for female diabetics between the ages of
30 and 34 have unknown means. However the standard deviations
Unit 2 Assignment
Chapter 3, Problem 7
In Massachusetts, eight individuals experienced an unexplained episode of vitamin D
intoxication that required hospitalization; it was thought that these unusual
Unit 3 Assignment
Chapter 7, Problem 12
According to the Behavioral Risk Factor Surveillance System, 58% of all Americans adhere to a
sedentary lifestyle (sedentary means does not exercise).
a. If you
Answers to Assignment for Unit 9
h r14rlm
As part of a study conducted in France investigating the effectiveness of the drug
mifepristone (RU 486) for terminating early pregnancy, 488 women were admin
Unit 3 Assignment
Chapter 7, Problem 12
According to the Behavioral Risk Factor Surveillance System, 58% of all Americans adhere to a
sedentary lifestyle (sedentary means does not exercise).
a. If you
ACTIVE CLASS 3.3
Tests of
Hypotheses
Error rates
t-statistics and p-values
CIs for proportions
Finishing up from last class
Public Heath Biosta0s0cs
2
Hypothesis testing made easy
1. Specify
ACTIVE CLASS 2.3
Comparing two
distributions
Confidence intervals for
difference in means
Log $ vs $ scale
Brief review of
visualization
Confidence interval recipe
CLT&
&
Truth&
&
&
&
Data&
&
&
est
ACTIVE CLASS 3.1
JHU Cocoa
Content in
Chocolate Tasting
Trial (C3T2)
Designing and
implementing a research
study
QuODDID
Question of scientific interest
Outcome measures
Design
Data analysis
Int
ACTIVE CLASS 2.4
Stratification and
pooling
Calculating a pooled
estimate from stratified
analysis
Log $ vs $ scale
Illustration of confounding and stratification
0 1 2 3 4 5 6
$ (log scale)
Boxplot
ACTIVE CLASS 2.2
Confidence
intervals
Confidence intervals
Warm up question
Q 2.8: In 10,000 turns of the lucky number game, we expect to
see _ of each possible outcome. The reason we dont see
exactl
ACTIVE CLASS 1.2
Probability
Probability
2x2 tables
Screening tests
Review: Meanings of probability
Frequentist: long term relative frequency
Examples: Tossing a coin; disease rates
Bayesian (su
ACTIVE CLASS 1.1
Course
Introduction
Course information
What is probability?
The scientific method
Biostatistics 345
Objective: to enable each student to enhance his/her
quantitative, scientific r
ACTIVE CLASS 1.3
Probability
Discrete probability
distributions
Binomial distribution
Binomial likelihood
Warm-up (Question 1.7)
Consider whether or not someone smokes (T) as a
screening test for w
ACTIVE CLASS 4.1
Introduction to
College Alcohol
Survey and Linear
Regression
College alcohol survey
Intro to linear regression
QuODDID
Question: How does drinking in college affect academic
perform
ACTIVE CLASS 2.1
Introduction to question of
interest
The medical
costs of smoking
Review of cause and intro
to confounding
Investigating the unknown
truth with the CLT
U.S. Department of Justice S
ACTIVE CLASS 3.2
Tests of
Hypotheses
QuODDID
Question of scientific interest
Outcome measures
Design
Data analysis
Interpretation
Dissemination
3/27/14
Public Heath Biosta6s6cs
2
Questio
ACTIVE CLASS 3.4
Multiplicity
Practice!
Multiplicity
Question 3.13: Practice
A study was done to determine whether AZT helps to reduce
the transmission of HIV from mother to baby (Connor et al.,
199
Unit 6 Assignment
Chapter 11, Problem 5
A crossover study was conducted to investigate whether oat bran cereal helps to lower
cholesterol levels in hypercholesterolemic males. Fourteen such individual
Paired Samples versus Independent
Samples
Paired Design 1
With paired data, we are interested in
comparing the responses within each
pair. We will analyze the differences of
the responses that form ea
Biostatistics Class 3
Important Probability Distributions
I The Binomial Distribution
2 important results from last class:
To calculate probability of composite event,
add probabilities of its simpl
Biostatistics Class 1:
Introduction and Summarizing
Data
I: Introduction
A: A Rude Awakening
In late 19th & early 20th century, doctors
relied on expert opinion about benefit and
safety of drugs
190
Biostatistics Class 2
Probability
I: Definitions
Probability is number between 0 and 1
indicating how likely an event is
0 means it definitely wont happen
1 means it definitely will happen
means i