Free statistical consultancy for PhD students
Are you a PhD student wrestling with statistical analysis? We understand the struggle and may be able to help guide you. This August and September 2024, we are offering ten free 45-minute Zoom consultancy sessions exclusively for PhD students.
Eligibility and Conditions:
- Slots are allocated based on a combination of first-come, first-served and how closely your problem aligns with our areas of expertise. We also strive to include participants from different countries to promote global diversity.
- To give as many people as possible a chance to receive free consultancy, slots are not available to PhD students who already have access to our 1-hour consultancy as part of a statistics course with us.
- Ensure your questions fall within our areas of expertise (see books, papers and consultancy).
- Familiarise yourself with the points listed under 'Optimising your session' below.
- Whilst this is not a marketing endeavor, we may reference our relevant publications if your query aligns. Please note, we do not distribute PDFs or R code.
- If our advice contributes to a published paper, an acknowledgment of Highland Statistics would be appreciated.
- Sessions are conducted in English, with potential support in Spanish or Dutch.
Optimising your session
- Zoom Meeting Details:
- We will email a Zoom link.
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You'll need to know how to share your screen on Zoom, and you'll be given co-host privileges for this purpose.
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We will not record the meeting and request that you refrain from recording it as well.
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Permission from your supervisor
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Please have your supervisor send us an email from an institutional or university email address, approving your participation in a free statistical consultancy session with us.
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Time Management:
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Meetings are strictly limited to 45 minutes.
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The meeting is non-transferable and intended for one individual only, not groups.
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Preparation:
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The 45-minute face-to-face chat does not include any of our time for preparation.
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Please refrain from sending R scripts or lengthy documents in advance.
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Explain your data clearly, using visuals or diagrams if possible.
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Be prepared to efficiently explain your study design or field setup.
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Review our 10-step protocol from our 2016 paper to structure your questions.
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Cancellations:
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Cancellations result in the loss of your slot without a rescheduled meeting.
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If you don’t attend the meeting, we’ll wait 10 minutes before closing it and will not provide a new slot.
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Legal responsability:
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We offer advice based solely on the information you provide; we accept no legal liability for misinterpretations or incorrect advice.
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Available slots
The following slots are currently available (UK time: time zone converter: https://www.timeanddate.com/)
- Friday 23 August 2024: 14.00-14.45. Brett Sweezey, University at Galveston, US.
- Friday 23 August 2024: 15.00-15.45. Ryan Pienaar, Brigham Young University, US.
- Friday 30 August 2024: 14.00-14.45. Megan O’Hara, Bangor University, UK.
- Friday 30 August 2024: 15.00-15.45. Andréa Mesquita, University of New Brunswick, Canada.
- Friday 6 September 2024: 14.00-14.45. Quinn Carvey, University of New Brunswick, Canada.
- Friday 6 September 2024: 15.00-15.45. Name of PhD student and institute.
- Friday 13 September 2024: 14.00-14.45. Name of PhD student and institute.
- Friday 13 September 2024: 15.00-15.45. Name of PhD student and institute.
- Friday 20 September 2024: 14.00-14.45. Name of PhD student and institute.
- Friday 20 September 2024: 15.00-15.45. Name of PhD student and institute.
Names of attendees and their institutions will be posted for transparency.
If interested, email Dr Elena Ieno (bio@highstat.com) with your details, preferred date, a brief description of your need for the session, and a one-page PDF (in 12pt font) outlining your questions and data. And please have your supervisor send us an email.
Note: If slots are full, please refrain from requesting to be placed on the waiting list for future free sessions.