What statistical methods have you used in your medical research projects?


 Theme: Statistics, Research  Role: Medical Researcher  Function: Medical

  Interview Question for Medical Researcher:  See sample answers, motivations & red flags for this common interview question. About Medical Researcher: Conduct scientific studies to advance medical knowledge This role falls within the Medical function of a firm. See other interview questions & further information for this role here

 Sample Answer 


  Example response for question delving into Statistics, Research with the key points that need to be covered in an effective response. Customize this to your own experience with concrete examples and evidence

  •  Descriptive Statistics: I have used descriptive statistics to summarize and describe the characteristics of the data in my medical research projects. This includes measures such as mean, median, standard deviation, and percentiles
  •  Inferential Statistics: I have employed inferential statistics to make inferences and draw conclusions about the population based on sample data. This includes techniques like hypothesis testing, confidence intervals, and regression analysis
  •  Survival Analysis: In some of my medical research projects, I have utilized survival analysis to analyze time-to-event data, such as patient survival rates or time until disease recurrence. This involves techniques like Kaplan-Meier estimation and Cox proportional hazards regression
  •  Experimental Design: I have applied various experimental design methods to ensure the validity and reliability of my research findings. This includes techniques like randomization, control groups, and blinding to minimize bias and confounding variables
  •  Data Visualization: I have used data visualization techniques to present and communicate the results of my medical research projects effectively. This includes creating charts, graphs, and plots to illustrate trends, patterns, and relationships in the data
  •  Sample Size Determination: I have conducted sample size determination to ensure adequate statistical power in my medical research projects. This involves calculating the required sample size based on factors like effect size, desired level of significance, and statistical power
  •  Data Analysis Software: I am proficient in using statistical software such as R, SAS, and SPSS to perform data analysis in my medical research projects. These tools allow me to apply a wide range of statistical methods and generate accurate results
  •  Ethical Considerations: I always consider ethical implications when conducting medical research. This includes ensuring patient confidentiality, obtaining informed consent, and adhering to ethical guidelines set by regulatory bodies
  •  Publication & Reporting: I have experience in preparing research manuscripts and reports, adhering to the guidelines and standards set by scientific journals. This includes accurately describing the statistical methods used and interpreting the results
  •  Continuous Learning: I continuously update my knowledge and skills in statistical methods through attending workshops, conferences, and reading relevant literature. This allows me to stay informed about the latest advancements in the field and apply them to my research projects

 Underlying Motivations 


  What the Interviewer is trying to find out about you and your experiences through this question

  •  Technical Skills: Assessing the candidate's proficiency in statistical methods relevant to medical research
  •  Experience: Evaluating the candidate's practical application of statistical methods in medical research projects
  •  Problem-solving: Determining the candidate's ability to select appropriate statistical methods to address research questions
  •  Analytical Thinking: Assessing the candidate's capacity to analyze and interpret data using statistical methods

 Potential Minefields 


  How to avoid some common minefields when answering this question in order to not raise any red flags

  •  Lack of experience: If you have not used any statistical methods in your medical research projects, it may raise concerns about your ability to analyze and interpret data
  •  Limited knowledge: If you can only mention basic statistical methods and lack knowledge of more advanced techniques commonly used in medical research, it may indicate a lack of expertise
  •  Inability to explain: If you struggle to explain the statistical methods you have used or cannot provide specific examples of their application, it may suggest a lack of understanding or involvement in data analysis
  •  Inconsistent results: If your research projects have produced inconsistent or contradictory results, it may raise doubts about the reliability and accuracy of your statistical methods
  •  Poor data management: If you cannot demonstrate proper data management practices, such as data cleaning, handling missing values, or ensuring data integrity, it may indicate a lack of attention to detail and rigor in your research