Statistician Interview Questions and Answers

Yes, I have designed workbooks for MBBS, MPH, and nursing students.

• I have designed workbooks for medical students that cover topics such as anatomy, physiology, pharmacology, and epidemiology.

• I have also created interactive exercises and quizzes to help students reinforce their learning.

• I have collaborated with medical professionals and educators to ensure that the content is accurate and relevant.

• Examples of my work include a workbook on clinical research methods for MPH stu...read more

Robust statistics focuses on methods that are not heavily influenced by outliers or non-normal data.

• Robust statistics are resistant to outliers and non-normal data.

• They are based on median and other non-parametric methods instead of mean and parametric methods.

• Examples include median, trimmed mean, and Winsorized mean.

• Robust regression techniques like M-estimators and Theil-Sen estimator are used to minimize the impact of outliers.

Yes, I have experience with survival analysis in various research projects.

• I have conducted survival analysis to study the time until an event of interest occurs.

• I have used techniques like Kaplan-Meier curves, Cox proportional hazards model, and log-rank tests.

• I have applied survival analysis in medical research to analyze patient survival rates after treatment.

• I have also used survival analysis in social science research to study factors affecting marriage duration.

I am open to flexible hours and can adjust my schedule as needed.

• I prioritize completing tasks on time and meeting deadlines.

• I communicate clearly with my team and supervisor about my availability.

• I am willing to work outside of traditional office hours if necessary.

• I am comfortable with remote work and can maintain productivity from home.

• I understand the importance of work-life balance and strive to maintain it.

In clinical trials, censoring refers to incomplete data due to participants leaving the study before completion or being lost to follow-up.

• Censoring occurs when a participant leaves the study before it is completed.

• It can also happen when a participant's data is incomplete or missing.

• Censoring can be right-censored (participant leaves before experiencing the event of interest) or left-censored (participant enters the study after the event has already occurred).