Estimating the Modified Mean Difference
1
Recall confounding and adjustment
Previous example: Regress SBP on age and sex
Exposure Confounder
SAS code:
proc glm;
model sbp = age sex /solution;
run;
Mea
Homework 1: instructions
The basic figure was taken from a short article (slightly modified). You might want
to skim the article, although it is not essential
Vlzke et al. Menopausal status and hepati
Estimating the Odds Ratio from
Matched Case-Control Studies
1
The whole truth about matched case-control studies
Matching controls to cases
does
NOT resemble matching unexposed to exposed
does
NOT eli
Homework 5: Estimating the Modified Odds Ratio
(A cross-sectional sample)
In this homework, we are interested in several causes of an unnamed disease (disease).
The cross-sectional sample included 2,0
4/10/2012
Estimating the Rate Ratio
1
Setting: a cohort
N=15,712 people at baseline
cfw_
391 fell victim to ischemic stroke during an average follow
up of 10 years
Two causal variables
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cfw_
hyper
Homework 4: Estimating the Odds Ratio
(A cross-sectional study)
The data file for this homework was taken from a study of replacement hormones and
sleep apnea (Shahar et al. Am J Respir Crit Care Med
Homework 8: Estimating the Hazard Ratio
(A cohort study)
The data were taken from of small cohort study of patients with severe skin cancer. A total of 65 patients
were followed for 1-77 months and 48
Homework 4: Estimating the Odds Ratio
(A cross-sectional study)
The data file for this homework was taken from a study of replacement hormones and
sleep apnea (Shahar et al. Am J Respir Crit Care Med
Homework 6: Estimating the Matched Odds Ratio
(An individually matched case-control study)
The data file for this homework was taken from a study of endometrial cancer (Mack et
al. New England Journal
Homework 5: Estimating the Modified Odds Ratio
(A cross-sectional sample)
In this homework, we are interested in several causes of an unnamed disease (disease).
The cross-sectional sample included 2,0
Homework 7: Estimating the rate ratio by tabular methods and by Poisson
regression
(Cohort, Group-level data)
To study the effect of a surgical procedure on mortality, a cohort of patients who underwe
Estimating the Odds Ratio
1
Introduction
When do we compute odds ratios (or probability ratios)?
cfw_
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How do we estimate odds ratios?
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cfw_
Effect is binary
No information on person-time at r
Homework 2: Estimating the Arithmetic Mean Difference
(A cross-sectional sample)
In this assignment, we are interested in the effect of body mass index (BMI) on urinary arsenic
levels. The data origin
Homework 3: Estimating the Modified Mean Difference
(A cross-sectional sample)
Gaining weight leads to an increase in waist circumference. In this assignment we are interested
in estimating that effec
Marissa Reyes
CPH 418
September 15, 2017
Homework 3 Curve fitting in Excel
Note: Following the example in the Mr. Ts online tutorial if you have any questions.
1. Graph the data below in Excel:
dose
0
Marissa Reyes
BIOS 376
Section 001
September 21, 2017
HW 4
1. The pulse rates for a particular population of young men have a mean of 65 beats/min and
a standard deviation of 6 beats/min. Assume the p
Chapter 9
Estimating the Arithmetic Mean Difference
Sex group and blood pressure
The arithmetic mean difference was not my preferred measure of effect (chapter 3), but
for several related reasons I de
Chapter 12
Estimating the Odds Ratio
Overweight and sleep apnea
Many otherwise healthy people do not breathe normally when they sleep, and most of
them are not even aware that something goes wrong eve
Estimating the Odds Ratio
1
Introduction
When do we compute odds ratios (or probability ratios)?
How do we estimate odds ratios?
Effect is binary
No information on person-time at risk
Tabular analysis
Estimating the Hazard Rate Ratio
Introduction
Hazard (or Hazard Rate)
What is it?
The rate at the interval [t, t+t], when t0
A measure of the instantaneous chance of an event at time t
Not a probabili
Clinical Epidemiology
Dovepress
open access to scientific and medical research
M ethodolo g y
Open Access Full Text Article
Causal diagrams and the logic of matched
case-control studies
This article w
Chapter 10
Estimating the Modified Mean Difference
Sex group: an effect modifier?
At the end of the last chapter we tried to estimate the effect of age on systolic blood
pressure, assuming that the ma
12/19/2012
Estimating the Modified Odds Ratio
1
Modified odds ratio
Similar to estimating the modified mean difference,
but
cfw_
The dependent variable is "log odds (Y=1)" rather than
"mean Y
cfw_
Reg
Estimating the Modified Mean Difference
1
Recall confounding and adjustment
Previous example: Regress SBP on age and sex
Exposure Confounder
SAS code:
proc glm;
model sbp = age sex /solution;
run;
Mea
Estimating the Modified Odds Ratio
1
Modified odds ratio
Similar to estimating the modified mean difference,
but
The dependent variable is "log odds (Y=1)" rather than
"mean Y
Regression coefficients: