I used a commercial tool created by a small company to perform quantitative analysis of medical images for a study that I did. I was very conservative in my statistical analysis and consulted with a university-employed biostatistician throughout the process. The results were negative. I presented the results at a conference and have submitted the paper to a journal where it is currently under review.

The problem is that the founder of the company whose tool I used came up to me after the presentation and started to interpret my results differently, putting them in a more positive and hopeful light. He is an engineer and is, of course, highly knowledgeable about the tool we used since he developed it. However, he wants to help us re-analyze the data since he ‘saw some interesting results’ in my presentation. I feel uncomfortable about this since I believe there is a conflict of interest at play if we were to work directly with him. I think he has a clear economic incentive to promote his analysis tool, and I can see how the results of our study might influence the perception of his product.

Am I overthinking this situation? What level of cooperation with this person would be acceptable from a COI perspective?

My data is not normal, and I am trying to work out how to analyze it. I have a mixed design. I am looking at people’s choices between a safe option and a gamble. Some people in the experiment are told the chances of winning the gamble (eg 50% chance to win 40 points) the other group are not told anything and have to learn from experience. Both groups are shown two doors at once, some doors have a smaller reinforcer, and some have a larger reinforcer. We are interested in what effect the size of the reinforcer will have on how risky they are and comparing the difference when people either have or don’t have the probability.

Any idea how to analyze this?

Thanks!

Here’s a short, yet dense summary about myself:

Undergrad Institution: Top 25 statistics undergraduate school (known for grade deflation)

Major: Actuarial Science and Statistics with Honors

GPA: 3.54, Major GPA: 3.7 – I was an athlete my freshman year; I averaged a 3.7 over my last two years

GRE
Q: 168(95%)
V: 156 (72%)
W: 4.0 (59%)

Programs Applying: Masters/PhD in Applied Statistics/Statistics

Research Experience:

Statistics Research:
– worked on an economic scenario generation model with a professor in the statistics department
– created Monte Carlo simulation from scratch to predict stock prices

Political Science research:
– various research – not statistics related, except for a part where I modeled a process in Python
– paper is in the works and will be published next spring
– Independent research project to complete honors curriculum

Awards/Honors/Recognitions: Presidential Scholarship, Excellence in Mathematics Award, Outstanding Citizenship Award

Pertinent Activities or Jobs: Actuarial Intern with two major insurance companies, Internship with Brown University, Resident Assistant in Residence Halls, President of Actuarial Science Club, other sales associate jobs while in college

Letters of Recommendation: 2 letters of recommendation from statistics teachers (both decently known, but they know me very well) and 1 from Political Science Professor

Any Miscellaneous Points that Might Help:
Passed two actuarial exams (FM and P)

Relevant Courses: Probability Theory, Statistical Theory, Time Series, Real Analysis, Linear Regression (graduate level)

Am I over-reaching by thinking that I’m competitive (have a chance) at top 10 schools? What schools should I look at specifically?

The participation rate in lifelong learning in Flanders is 7.9%. 14.5% of the highskilled
Flemish people take part in lifelong learning; for the low-skilled Flemish
people, this percentage is 3.3%.
a. What is the probability that among 20 Flemish people there are at least 3 persons
that participate in lifelong learning? (solution: 0.2068)
b. Calculate the percentage high-skilled people in Flanders. (solution: 41.07%)
In a group of 50 Flemish people there are 30 high-skilled and 20 low-skilled people.
Two persons within this group have to be elected.
c. Determine the probability function of the number of elected high-skilled people.
(solution: P(X = 0)  0.1551, P(X = 1)  0.4898, P(X = 2)  0.3551)
d. What is the probability that at least one elected member takes part in lifelong
learning? (solution: 0.1904)

We have conducted an observational study to find a rare case using X-rays.we have started form 2007 till 2015, collected over 600 cases, according to inclusion and exclusion criteria we got 202 suitable cases to study, among these 202 cases we found 46 which is a rare case (abnormal mandible). so we have reported that 22.77% of the Malaysian population may have abnormal mandible. Each case correspond to one patient (person).

One of the reviewer comment was : There is no sample size calculation demonstrated in this study. Therefore, the author has no standing to prescribe the power of his study and the determination of significant value. Thus the conclusion made in this study that claim 22.77% prevalence of abnormal mandible among Malaysian population (1 out of every 5 Malaysian) may be controversial.

what should be the action according to this comment?

We have conducted an observational study to find a rare case using X-rays.we have started form 2007 till 2015, collected over 600 cases, according to inclusion and exclusion criteria we got 202 suitable cases to study, among these 202 cases we found 46 which is a rare case (abnormal mandible). so we have reported that 22.77% of the Malaysian population may have abnormal mandible.

One of the reviewer comment was :
There is no sample size calculation demonstrated in this study. Therefore, the author has no standing to prescribe the power of his study and the determination of significant value. Thus the conclusion made in this study that claim 22.77% prevalence of abnormal mandible among Malaysian population (1 out of every 5 Malaysian) may be controversial.

what should be the action according to this comment?

Im currently studying for my end of year exams and am particuarly struggling with 2 styles of questions. (1 being i cannot find any answers, the other being different wording).
I would appreciate it very much if someone could help me and point me in the right direction with either of them. Thanks in advance.

1) A random variable X with a mean of 10 and a standard deviation of 10 is observed.
You are interested in the mean and variance of a random variable Y which is a function
Y=5X+5
(a) What is the mean of Y?
(b) What is the variance of Y?

(Yes i know it seems easy and i might just be having a moment lol)

2) A random sample of 20 firms is taken with average firm profits of $60 million and a
variance of $25 million. Which sample size should your survey have at a minimum?

(I have never encountered this style of question without confidence intervals/ levels)

Any help would be muchly appreciated.

I am interested in studying for a master’s degree in statistics as an international student in Canada. I would like to begin my studies at the earliest opportunity and so would like to start in early 2018 (Jan/Feb) if possible.

I’m aware that McGill’s program has a January intake, but most others do not specify either way.

Generally speaking, is it possible to begin in January, even if this start date is not mentioned on the program site? Are there any particular draw backs to starting at this time of year?

Thanks in advance for any help with this.

Regards,

Andrew