The appropriate test statistic?

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Discussion Overview

The discussion revolves around determining the appropriate test statistic for analyzing the association between breast cancer and oral contraceptive use based on a given dataset. Participants explore various statistical methods and considerations relevant to hypothesis testing in a medical context.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Homework-related

Main Points Raised

  • One participant suggests constructing a 2x2 table to analyze the data, indicating that the odds ratio can be calculated from this arrangement.
  • Another participant mentions that the odds ratio does not have a normal distribution, but its log transform does, and introduces the Robins-Breslow-Greenland estimator for variance calculation.
  • A different participant expresses confusion about the use of the Robins-Breslow-Greenland estimator, noting it is not covered in their medical textbooks.
  • One participant proposes considering a test for comparing two proportions or a Pearson goodness-of-fit test as alternatives.

Areas of Agreement / Disagreement

There is no consensus on the appropriate test statistic to use, as participants propose different methods and express uncertainty about the applicability of certain statistical approaches.

Contextual Notes

Participants highlight limitations in their knowledge of advanced statistical methods, and there is an acknowledgment that some suggested methods may not be familiar to all involved in the discussion.

AyazM
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Hello there, I am a medical student and I would like to discuss a slightly confusing question that I got in a certain examination. Here it is:

A researcher wanted to study the association between breast cancer and oral contraceptive use. She selected 50 women diagnosed with breast cancer and 50 women not having breast cancer, and determined the use of oral contraceptives among those women. Forty women reported having used contraceptives, 25 of them were women diagnosed with breast cancer.

The researcher further wants to test if this association is statistically significant or not at alpha = 0.05

1. State the null and alternative hypothesis
2. Calculate the appropriate test statistic
3. What is your decision and conclusion based on the calculated value of test statistic if the critical value of test statistic is 3.841 at alpha = 0.05?


Other parts of this question merely revolved around calculating and interpreting odds ratio but this particular bit was confusing. We have no calculators or t/z score tables in the examination. And till now, I still haven't been able to decide on what test statistic exactly did it prompt because it doesn't seem right trying a guess at using t/z or chi square tests here.

I'm sorry if I'm overlooking the "obvious" here because I'm not very well versed in mathematics.
 
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It seems simple enough. Just construct a 2x2 table. The columns will be, from left to right, the number of women with and without disease. The rows will be, from top (cells a,b) to bottom (cells c,d), women taking and not taking oral contraceptives. Arranged this way, ad/bc will be the odds ratio (relative risk estimate) for disease with and without oral contraceptives. The odds ratio(OR) does not have a normal distribution, but its log transform does. The Robins-Breslow-Greenland estimator (second link) for the variance of the ln(OR) is (1/a+1/b+1/c+1/d).

http://www.ispub.com/journal/the_internet_journal_of_epidemiology/volume_6_number_2_26/article/bias_adjusted_exposure_odds_ratio_for_misclassified_data_1.html

http://www.epi-perspectives.com/content/2/1/9
 
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Thankyou for the answer! I'm sure we have never been taught about Robins-Breslow-Greenland estimator neither is it found anywhere in our medical textbooks. Seems like an over-efficient effort on part of my examiner!

Still thanks for your answer :)
 
I can think about, test of compare 2 proportion, or Pearson good fit test. If I have my old test book where the details are.
 

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