STAT 601 – Assignment #7 (Due Wednesday, Oct
STAT 701 – Assignment #11 Additional Problems
(Due Thursday, Nov. 29th) (35 pts.)
1 – Age of Onset and Family Histories of Individuals with Bipolar
Disorder
In their paper “Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder”, Journal of Psychiatric Research, (2003), Carter et al. one of the relationships examined was that between age of onset (early age < 18, later age > 18) and family history of mood disorders. This paper is linked to the D2L site under categorical data analysis in the outline. Some the results from their study are contained in the files: Bipolar Family.JMP for part (a) and Bipolar Episode.JMP for part(b).
| |Age of Onset | |
|Family History | | |
|of Mood Disorders | |Row Totals |
| |Early (age < 18) |Later (age > 18) | |
| |(E) |(L) | |
|Negative (A) |28 |35 |63 |
|Bipolar disorder (B) |19 |38 |57 |
|Unipolar (C) |41 |44 |85 |
|Unipolar/bipolar (D) |53 |60 |113 |
|Column Totals |141 |177 |n = 318 |
a) Use these data to determine if there is a relationship between age of onset and family history for the population of individuals with bipolar disorder. Summarize your findings. (4 pts.)
b) The researchers also looked at type of episode which was classified as being depression, mania, or hypomania. Is there a relationship between the type of episode and age of onset? Summarize your findings. Note: this outcome was not recorded or missing for some of the patients in the study. (4 pts.)
| |Age of Onset | |
|Type of | | |
|Episode | |Row Totals |
| |Early (age < 18) |Late (age > 18) | |
| |(E) |(L) | |
|Depression (D) |79 |67 |146 |
|Manic (M) |13 |39 |52 |
|Hypomania (H) |16 |8 |24 |
|Column Totals |108 |114 |n = 222 |
2 – Practice Type and Compliance with Baseline Test Guidelines
The effects of nonsteroidal anti-inflammatory drugs (NSAID) include problems involing peptic ulceration, renal function, and liver disease. In 1996, the American College of Rheumatology issued and disseminated guidelines recommending baseline tests (CBC, hepatic panel, and renal tests) when prescribing NSAID. A study was conducted by Rothenberg and Holcomb, the results of which are in their paper “Guidelines for Monitoring of NSAIDS: Who Listened?”, Journal of Clinical Rheumatology (2000), to determine if physicians taking part in a national database of computerized medical records performed the recommended baseline tests when prescribing NSAID. The researchers classified physicians in the study into four categories; those practicing in internal medicine, family practice, academic family practice, and multispeciality groups.
The results are in the data file: Practice Compliance.JMP and are presented below.
| |Performed Baseline Tests | |
|Practice Type | |Row Totals |
| |Yes |No | |
|Internal medicine (IM) |294 |921 |1215 |
|Family practice (FP) |98 |2862 |2960 |
|Academic family practice (AFP) |50 |3064 |3114 |
|Multispeciality groups (MG) |203 |2652 |2855 |
|Column Totals |645 |9499 |n = 10144 |
a) Do these data provide evidence for us to conclude that type of practice and
performance of the recommended baseline tests are related? Summarize your findings.
(4 pts.)
b) Find 95% CI’s for the compliance percent for each of the four practice areas.
Interpret (4 pts.)
[pic] [pic]
3 – Alcohol Use During Pregnancy and Spontaneous Abortion
In their paper “Cigarette, Alcohol, and Coffee Consumption and Spontaneous Abortion”, American Journal of Public Health (1992), Armstrong et al. reported the following results regarding alcohol use (drinks/week) and spontaneous abortion. These results are contained in the file Alcohol and Spontaneous Abortions.JMP.
|Alcohol Use |Number of |Spontaneous |Spontaneous |
|(Drinks per Week) |Pregnancies |Abortions |Abortion (%) |
|a None |33164 |6793 | |
|b 1 – 2 |9099 |2068 | |
|c 3 – 6 |3069 |776 | |
|d 7 – 20 |1527 |456 | |
|e 21+ |287 |98 | |
a) For each level of alcohol use estimate the probability that a woman who becomes pregnant will undergo a spontaneous abortion. Stated another way, estimate the percentage of women in each alcohol use category that will have a spontaneous abortion. Place the results in the provided column. Discuss. (3 pts.)
b) Conduct a test to determine if there is a relationship between alcohol use during pregnancy and spontaneous abortions. Summarize your findings. (4 pts.)
c) For each category of alcohol use find the odds ratio associated with each use level relative to women who do not drink during pregnancy. Hint: You might find it useful to construct a 2 X 2 table for each drinking level relative to nondrinkers. Discuss. (6 pts.)
You can do this in JMP by excluding and hiding all drink levels except for the nondrinkers and the level of alcohol use of interest.
[pic]
|Drink per week |OR |CI for OR |
|1 – 2 | | |
|3 – 6 | | |
|7 – 20 | | |
|21 + | | |
4 – Medicare Study
Choose one outcome from the Medicaid Study to look at a baseline and follow-up. Use Cohen’s Kappa and Bowker’s Test, in conjunction with the usual contingency table and mosaic plot to conduct your analysis. State any initial hypothesize you might have, conduct your analysis and summarize your findings. The data for a random sample of 25,000 individuals from the larger study is contained in the file: Medicare Outcomes Random 25000.JMP .(6 pts.)
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Select Analyze > Distribution and place
Baseline Tests? In the Y box and Practice Type in the By box.
For each practice type select 95% CI
Highlight the rows to temporarily remove. Select both Exclude/Unexclude and High/Unhide from the Rows pull-down menu. Fit Y by X now will allow us to compare 1-2 drinks/week to nondrinkers in terms of risk of spontaneous abortion. To restore all cases select Clear Row States from the same menu, then move on to the next group
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